Match tier
Likely match
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-07
D
Dong Wang
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
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Also affiliated: Kanazawa University (2022); Qingdao University (2022); United States Food and Drug Administration (2018–2025); Central South University (2019–2020); Army Medical University (2017); Harbin Medical University (2020–2023); WuXi AppTec (China) (2024); Daping Hospital (2017–2020); Affiliated Hospital of Qingdao University (2022); Second Affiliated Hospital of Harbin Medical University (2020–2023); Xiangya Hospital Central South University (2019–2020)
9 h-index
23 pubs
259 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dong Wang's research interests encompass tumor immunotherapy, cancer diagnostics, and the application of computational methods in medical research. Wang has explored the role of dendritic cells in modulating anti-tumor effects, particularly in relation to Astragalus polysaccharide. Their work also involves developing and verifying genomic reference samples for assessing the performance of cancer panels designed to detect small variants of low allele frequency. Additionally, Wang has contributed to research utilizing the Medical Information Mart for Intensive Care (MIMIC) database for the fusion of artificial intelligence and real-world clinical data. Collaborations include work with Paul Rogers and Beverly Lyn‐Cook at the National Center for Toxicological Research, and Donald J. Johann at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 9
- Publications: 23
- Citations: 259
Selected Publications
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Exploring Sex Differences in Cardiac ICU Admission and Length of Stay Using Multiple Correspondence Analysis (2026)
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Baseline proteomic biomarkers for predicting chemotherapy-induced cardiotoxicity in breast cancer patients (2026)
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The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity (2025)
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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study (2025)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2024)
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Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex (2024)
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Predicting oncology drug-induced cardiotoxicity with donor-specific iPSC-CMs—a proof-of-concept study with doxorubicin (2024)
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Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis (2023)
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The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study (2023)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2023)
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Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex (2023)
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Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions (2023)
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A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine (2021)
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Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data (2021)
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A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency (2021)
Collaboration Network
Top Collaborators
Paul Rogers
National Center for Toxicological Research
6 shared publications
In database
- Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
- Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
Showing 5 of 6 shared publications
Joshua Xu
National Center for Toxicological Research
4 shared publications
In database
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Zhiyuan Lu
National Center for Toxicological Research (US)
3 shared publications
- Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
- Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex
Jessica Reese
University of Oklahoma Health Sciences Center (US)
3 shared publications
- Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Donald J. Johann
Winthrop Rockefeller Foundation
2 shared publications
In database
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis
Sue‐Jane Wang
Center for Drug Evaluation and Research (US)
2 shared publications
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study
Samir Lababidi
2 shared publications
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study
Ayako Suzuki
Durham VA Medical Center (US)
2 shared publications
- Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
- The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity
Beverly Lyn‐Cook
National Center for Toxicological Research
2 shared publications
In database
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
- Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex
Christine Merenda
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Richardae Araojo
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Christine Lee
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Milena Lolic
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Ying Zhang
University of Oklahoma Health Sciences Center (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Kimberly Malloy
University of Oklahoma Health Sciences Center (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
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