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Institution-verified
Presence
Current · Arkansas
Last published
2026
Sources
Institutional record
Refreshed
2026-10-09
M
Michael Bauer
Sourced from institutional research profiles (UAMS TRI or ARA).
High Impact
Assitstant Professor
Also affiliated: Western University (2011–2020); Novartis (Switzerland) (2023); Strong Memorial Hospital (2009); University of Arkansas Medical Center (2021–2023); University Hospital Heidelberg (1984); IBM Research - Thomas J. Watson Research Center (2011); Frauenklinik Heidelberg (1986); University Hospital Ulm (2011); University of Rochester (2009)
22 h-index
377 pubs
3,110 cited
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Michael Bauer's research focuses on the genomic underpinnings of multiple myeloma. His work investigates the identification of novel mutational drivers and their role in oncogene dependencies within this hematologic malignancy. Bauer has published research on identifying a high-risk, double-hit group of newly diagnosed myeloma through genomic analysis, as well as studying spatial genomic heterogeneity revealed by multi-region sequencing.
His publications also explore clonal selection and the involvement of tumor suppressor genes in myeloma relapse. Bauer has investigated the molecular makeup of smoldering myeloma, highlighting evolutionary pathways leading to the disease. He also studies the contribution of bone marrow microenvironments to patient outcomes in newly diagnosed multiple myeloma, drawing on data from clinical trials. Bauer has a scholarly h-index of 25 with 397 total publications and 3,463 total citations. He is a co-principal investigator on a NIH-funded QUERI project for Team-Based Behavioral Health.
Metrics
- h-index: 22
- Publications: 377
- Citations: 3,110
Positions
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Associate Professor 2026–presentUniversity of Arkansas for Medical Sciences Biomedical Informatics ORCID
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Assitstant Professor publications 2009–2026University of Arkansas for Medical Sciences Institutional directory
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Assistant Professor 2014–2026University of Arkansas for Medical Sciences Biomedical Informatics ORCID
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Post-Doctoral Fellow 2013–2014Myeloma Institute for Research and Therapy ORCID
Selected Publications
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Loss of FAM60A disrupts Sin3/HDAC control of the Hippo signaling and promotes oncogenic YAP1 activation (2026)
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Folinic Acid Improves Healing of Diabetic Foot Ulcers (2026)
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Proteostasis sustains T cell differentiation potential and tumor-infiltrating lymphocyte function (2026)
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How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025)
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Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival (2025)
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EZH2 loss during metabolic stress drives restoration of MHC class I machinery in melanoma (2025)
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Multi-Omics Reveal Immune Microenvironment Alterations in Multiple Myeloma and Its Precursor Stages (2024)
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Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages (2024)
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RNA sequencing of formalin fixed paraffin-embedded heart tissue provides transcriptomic information about chemotherapy-induced cardiotoxicity (2024)
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Increased Utilization of Low-Dose CT for Lung Cancer Screening at an Arkansas Community Oncology Clinic (2023)
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1211 Defining the role of PCK2 in T cell metabolic plasticity in Glioblastoma (2023)
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High NEK2 expression in myeloid progenitors suppresses T cell immunity in multiple myeloma (2023)
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EDNRA-Expressing Mesenchymal Cells Are Expanded in Myeloma Interstitial Bone Marrow and Associated with Disease Progression (2023)
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Association of DNA methylation signatures with cognitive performance among smokers and ex-smokers (2023)
Federal Grants 1
VA
Co-PI
Oct 2015 - Sep 2020
Grants & Funding
As listed on this researcher's institutional profile. Federal awards with verified records are shown above.
- Center for Studies of Host Response to Cancer Therapy NIH
Collaboration Network
Top Collaborators
Cody Ashby
University of Arkansas for Medical Sciences
53 shared publications
In database
- Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma
- A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
Showing 5 of 53 shared publications
Gareth J. Morgan
NYU Langone Health (US)
50 shared publications
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 50 shared publications
Faith E. Davies
NYU Langone Health (US)
46 shared publications
- Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma
- A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
Showing 5 of 46 shared publications
Brian A. Walker
Indiana University – Purdue University Indianapolis (US)
46 shared publications
- Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma
- A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
Showing 5 of 46 shared publications
Frits van Rhee
Winthrop Rockefeller Foundation
36 shared publications
In database
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 36 shared publications
Maurizio Zangari
Winthrop Rockefeller Foundation
33 shared publications
In database
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 33 shared publications
Carolina Schinke
University of Arkansas for Medical Sciences
33 shared publications
In database
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 33 shared publications
Christopher P. Wardell
University of Arkansas for Medical Sciences
33 shared publications
In database
- Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma
- A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
Showing 5 of 33 shared publications
Sharmilan Thanendrarajan
Winthrop Rockefeller Foundation
31 shared publications
In database
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 31 shared publications
Ruslana G. Tytarenko
University of Arkansas for Medical Sciences (US)
24 shared publications
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- Bi-allelic inactivation is more prevalent at relapse in multiple myeloma, identifying RB1 as an independent prognostic marker
Showing 5 of 24 shared publications
Niels Weinhold
Heidelberg University (DE)
22 shared publications
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
Showing 5 of 22 shared publications
Bart Barlogie
University of Arkansas for Medical Sciences
21 shared publications
In database
- Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma
Showing 5 of 21 shared publications
Eileen M. Boyle
NYU Langone Health (US)
20 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- Chromothripsis as a pathogenic driver of multiple myeloma
- Differential RNA splicing as a potentially important driver mechanism in multiple myeloma
- Structural variants shape the genomic landscape and clinical outcome of multiple myeloma
- The genomic landscape of plasma cells in systemic light chain amyloidosis
Showing 5 of 20 shared publications
Shayu Deshpande
University of Arkansas for Medical Sciences
18 shared publications
In database
- Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- Microhomology-mediated end joining drives complex rearrangements and overexpression of MYC and PVT1 in multiple myeloma
- Characterizing the role of the immune microenvironment in multiple myeloma progression at a single-cell level
Showing 5 of 18 shared publications
Sadie Johnson
Winthrop Rockefeller Foundation (US)
15 shared publications
- Characterizing the role of the immune microenvironment in multiple myeloma progression at a single-cell level
- Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages
- Poor overall survival in hyperhaploid multiple myeloma is defined by double-hit bi-allelic inactivation of TP53
- The genomic landscape of plasma cells in systemic light chain amyloidosis
- High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse
Showing 5 of 15 shared publications
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