J. Mark Brown

131 papers receiving 8.7k citations

J. Mark Brown's Hit Papers

Gut Microbial Metabolite TMAO Enhances Platelet Hyperreactivity and Thrombosis Risk 2016 · 1.5k citations
1.5k0+3+6Years since publication4008001.2k

Peers

J. Mark Brown
Comparison fields: 5 of 158
  • Biological Psychiatry 295
  • Biochemistry 856
  • Physiology 2.1k
  • Nutrition and Dietetics 869
  • Molecular Biology 3.8k
Replace Martin S. Obin with:
Martin S. Obin United States
Yoshinori Moriyama Japan
Robin Wait United Kingdom
Mary‐Ellen Harper Canada
Kenneth B. Beckman United States
Kebin Liu United States
Philip Thomas United States
Stephen A. Smith United States
Carlo Riccardi Italy
Junken Aoki Japan
J. Mark Brown relative to Martin S. Obin United States Martin S. Obin's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Mark Brown

Since Specialization
Citations

This map shows the geographic impact of J. Mark 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 J. Mark Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mark Brown more than expected).

Fields of papers citing papers by J. Mark Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Mark 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 J. Mark Brown. The network helps show where J. Mark Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside J. Mark 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 J. Mark Brown Line = papers co-authored together J. Mark Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gut Microbial Metabolite TMAO Enhances Platelet Hyperreactivity and Thrombosis Risk
Hit paper breakdown →
20161455
2 2015338
3 2018329
4 2008298
5 2014270
6 1987256
7 2003186
8 2009184
9 1996162
10 1994139
11 2004137
12 2005130
13 2008130
14 2003128
15 2000128
16 2010127
17 2013126
18 2018126
19 2013125
20 2016124

About J. Mark Brown

J. Mark Brown is a scholar working on Molecular Biology, Surgery, Physiology, Biochemistry and Epidemiology, having authored 135 papers that have together received 8.8k indexed citations. Recurring topics across this work include Gut microbiota and health (19 papers), Cholesterol and Lipid Metabolism (19 papers), Lipid metabolism and biosynthesis (17 papers), Adipose Tissue and Metabolism (16 papers), Peroxisome Proliferator-Activated Receptors (15 papers), Diet and metabolism studies (14 papers), Fatty Acid Research and Health (12 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Biological Psychiatry (295 citations), Biochemistry (856 citations), Physiology (2.1k citations), Nutrition and Dietetics (869 citations) and Molecular Biology (3.8k citations). J. Mark Brown has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Stanley L. Hazen, Lawrence L. Rudel, Michael McIntosh, Mark A. McPeek, Zeneng Wang, Aldons J. Lusis, John N. Thompson, Olle Pellmyr, W.H. Wilson Tang and Jennifer A. Buffa. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Gastroenterology, Proceedings of the National Academy of Sciences and Hepatology Communications.

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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