Kemar Brown

897 citations
16 papers · 427 · h-index 8

Impact in

    • Cardiac Fibrosis and Remodeling
    • Cardiovascular Function and Risk Factors
    • Congenital heart defects research
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Mitochondrial Function and Pathology

Papers in

Kemar Brown

14 papers receiving 419 citations

Peers

Kemar Brown
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 113
  • Molecular Biology 312
  • Cancer Research 48
  • Health Information Management 9
  • Surgery 82
Replace Songren Shu with:
Songren Shu China
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Xiaoyu Zuo China
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Arom Jedsadayanmata Thailand
Zongwei Lin China
Justin Chin-Bong Choi United States
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Shiwei Yang China
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Kemar Brown relative to Songren Shu China Songren Shu's profile →
Citations per field
00.5×3.1×
Songren Shu · 1×
Citations per year

Countries citing papers authored by Kemar Brown

Since Specialization
Citations

This map shows the geographic impact of Kemar Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kemar Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kemar Brown more than expected).

Fields of papers citing papers by Kemar Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kemar Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kemar Brown. The network helps show where Kemar Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Kemar Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kemar Brown Line = papers co-authored together Kemar Brown links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2020201
2 202184
3 201045
4 201029
5
COSTAR: A Comprehensive Medical Information System for Ambulatory Care
198214
6 202114
7 20129
8 20177
9 20137
10
Effects of in vitro versus in vivo red cell labeling on image quality in gastrointestinal bleeding studies.
19986
11 20214
12 20153
13 20192
14 20211
15 20231
16 20250

About Kemar Brown

Kemar Brown is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Public Health, Environmental and Occupational Health and General Health Professions, having authored 16 papers that have together received 427 indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Pluripotent Stem Cells Research (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Heart Failure Treatment and Management (2 papers), Telemedicine and Telehealth Implementation (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (113 citations), Molecular Biology (312 citations), Cancer Research (48 citations), Health Information Management (9 citations) and Surgery (82 citations). Kemar Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthew Nayor, Ramachandran S. Vasan, Ann Foley, Michael Xavier Doss, Jérôme Artus, Anna‐Katerina Hadjantonakis, Avital Gaziel‐Sovran, Lior Zangi, Manuel Mayr and Guoan Zhang. Their work appears in journals such as PLoS ONE, JACC Heart Failure, Journal of Molecular and Cellular Cardiology, Circulation Research and Journal of the American College of Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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