Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
M
Michael O. Lawanson
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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1 h-index
2 pubs
1 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Michael O. Lawanson is a graduate student at the University of Arkansas at Little Rock, whose research focuses on multiple myeloma. His work encompasses both clinical and molecular aspects of the disease, including investigations into the influence of patient age on survival rates. Lawanson also explores the epidemiology, risk factors, and prevention strategies associated with multiple myeloma, synthesizing current knowledge through systematic reviews. In addition to these broader analyses, Lawanson's research delves into the molecular mechanisms of protein degradation, peptidase inhibition, and the development of targeted inhibitors as potential therapeutic interventions for multiple myeloma.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
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Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review (2025)
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How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025)
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An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches (2025)
Collaboration Network
Top Collaborators
Oluwatomiwa Ajiferuke
University of Arkansas at Little Rock
2 shared publications
In database
- Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review
- An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches
Daniel Berleant
University of Arkansas at Little Rock
2 shared publications
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
- Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review
Nehemiah Ibitoye Nehemiah Ibitoye
University of Ibadan (NG)
1 shared publication
- An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches
Olugbebi Muyiwa Olugbebi Muyiwa
Ladoke Akintola University of Technology (NG)
1 shared publication
- An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches
Divine Iloh
1 shared publication
In database
- An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches
Emmanuella Patrick Egbon
University of Arkansas at Little Rock (US)
1 shared publication
- An Optimized Deep Learning Framework for Malware Classification Using Integrated LSTM and CNN Approaches
Ernest Griffin
University of Arkansas at Little Rock
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Phillip Farmer
University of Arkansas for Medical Sciences
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Ragen Hodge
University of Arkansas at Little Rock
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Carolina Schinke
University of Arkansas for Medical Sciences
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Cody Ashby
University of Arkansas for Medical Sciences
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Michael Bauer
University of Arkansas for Medical Sciences
1 shared publication
In database
- How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence
Jeong Shin
University of Arkansas at Little Rock
1 shared publication
In database
- Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review
Venkata Jaipal Reddy Batthula
Southwestern College - Kansas (US)
1 shared publication
- Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review
Oluwakemi Olayinka
University of Arkansas System
1 shared publication
In database
- Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review