Jonathan D. Brown

6.8k citations
52 papers · 3.9k · h-index 26

Impact in

    • Protein Degradation and Inhibitors
    • Peroxisome Proliferator-Activated Receptors
    • TGF-β signaling in diseases
    • Cancer-related gene regulation
    • Metabolism, Diabetes, and Cancer
    • Developmental Biology and Gene Regulation

Papers in

    • Protein Degradation and Inhibitors 7
    • Retinoids in leukemia and cellular processes 5
    • Metabolism, Diabetes, and Cancer 5
    • RNA Research and Splicing 5
    • Peroxisome Proliferator-Activated Receptors 5
    • Cancer-related gene regulation 3
    • Adipose Tissue and Metabolism 9

Jonathan D. Brown

49 papers receiving 3.8k citations

Peers

Jonathan D. Brown
Comparison fields: 5 of 122
  • Molecular Biology 2.4k
  • Cancer Research 348
  • Physiology 590
  • Biochemistry 159
  • Cardiology and Cardiovascular Medicine 413
Replace Kazuhiro Oka with:
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Citations per field
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Kazuhiro Oka · 1×
Citations per year

Countries citing papers authored by Jonathan D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014464
2 1996308
3 2013299
4 2007288
5 2017244
6 2017194
7 2013184
8 2012168
9 2011166
10 2007163
11 1998157
12 1999142
13 2008136
14 2010122
15 2007117
16 2020115
17 201286
18 201856
19 202156
20 200842

About Jonathan D. Brown

Jonathan D. Brown is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Protein Degradation and Inhibitors (7 papers), Retinoids in leukemia and cellular processes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), RNA Research and Splicing (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cancer Research (348 citations), Physiology (590 citations), Biochemistry (159 citations) and Cardiology and Cardiovascular Medicine (413 citations). Jonathan D. Brown has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jorge Plutzky, Stefan Hoppler, Randall T. Moon, Charles Y. Lin, James N. Topper, Michael A. Gimbrone, James E. Bradner, Saptarsi M. Haldar, Joshua A. Beckman and Javid J. Moslehi. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE, Proceedings of the National Academy of Sciences, Nature and Psychiatric Services.

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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