Jonathan D. Brown

6.6k total citations · 1 hit paper
51 papers, 3.8k citations indexed

About

Jonathan D. Brown is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Jonathan D. Brown has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Physiology and 8 papers in Immunology. Recurrent topics in Jonathan D. Brown's work include Adipose Tissue and Metabolism (11 papers), Protein Degradation and Inhibitors (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Jonathan D. Brown is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Protein Degradation and Inhibitors (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Jonathan D. Brown collaborates with scholars based in United States, Canada and China. Jonathan D. Brown's co-authors include Jorge Plutzky, Stefan Hoppler, Randall T. Moon, Charles Y. Lin, James N. Topper, Michael A. Gimbrone, James E. Bradner, Joshua A. Beckman, Saptarsi M. Haldar and Javid J. Moslehi and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan D. Brown

48 papers receiving 3.7k citations

Hit Papers

NF-κB Directs Dynamic Super Enhancer Formation in Inflamm... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan D. Brown United States 25 2.5k 697 481 453 417 51 3.8k
Xinli Hu China 35 2.3k 0.9× 628 0.9× 471 1.0× 686 1.5× 214 0.5× 88 3.7k
Franck Peiretti France 31 1.5k 0.6× 657 0.9× 840 1.7× 326 0.7× 341 0.8× 82 3.6k
Balakuntalam S. Kasinath United States 40 2.4k 0.9× 628 0.9× 343 0.7× 358 0.8× 163 0.4× 125 4.8k
Clifford D.L. Folmes United States 26 2.9k 1.2× 1.0k 1.5× 443 0.9× 1.1k 2.4× 226 0.5× 37 4.9k
Peter Sartipy Sweden 33 1.8k 0.7× 641 0.9× 760 1.6× 651 1.4× 201 0.5× 74 3.6k
Yasushi Fukushima Japan 43 2.6k 1.0× 1.0k 1.4× 746 1.6× 362 0.8× 536 1.3× 106 4.8k
Kousuke Noda Japan 41 2.2k 0.8× 375 0.5× 221 0.5× 499 1.1× 212 0.5× 168 5.2k
Kay‐Dietrich Wagner France 39 2.9k 1.1× 605 0.9× 222 0.5× 586 1.3× 253 0.6× 101 4.2k
Matthew D. Layne United States 37 3.2k 1.3× 529 0.8× 341 0.7× 453 1.0× 299 0.7× 82 4.8k
Ingeborg Hers United Kingdom 28 1.9k 0.8× 281 0.4× 186 0.4× 450 1.0× 270 0.6× 65 3.6k

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-authorship network of co-authors of Jonathan D. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Brown. A scholar is included among the top collaborators of Jonathan D. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan D. Brown. Jonathan D. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wassenaar, Jean W., et al.. (2026). Trained immunity: new paradigm in the immunological memory of cardiovascular disease. ImmunoHorizons. 10(SI).
2.
Shuey, Megan M., Rebecca T. Levinson, Eric Farber‐Eger, et al.. (2025). Risk of Coronary Artery Disease Associated With Transitions in Metabolic Health in a Clinical Cohort of 69 272. Journal of the American Heart Association. 14(23). e037597–e037597.
3.
Kohutek, Zachary A., Heather L. Caslin, Daniel J. Fehrenbach, et al.. (2025). Bone Marrow Niche in Cardiometabolic Disease: Mechanisms and Therapeutic Potential. Circulation Research. 136(3). 325–353. 1 indexed citations
4.
Wang, Chuan, E. Danielle Dean, Amanda C. Doran, et al.. (2024). The consumption of animal products is associated with plasma levels of alpha-aminoadipic acid (2-AAA). Nutrition Metabolism and Cardiovascular Diseases. 34(7). 1712–1720.
5.
Guillermier, Christelle, Diana Álvarez, John O’Keefe, et al.. (2024). Nanoscale imaging of DNA-RNA identifies transcriptional plasticity at heterochromatin. Life Science Alliance. 7(12). e202402849–e202402849. 1 indexed citations
6.
Hsu, Austin, Qiming Duan, Daniel S. Day, et al.. (2022). Targeting transcription in heart failure via CDK7/12/13 inhibition. Nature Communications. 13(1). 4345–4345. 8 indexed citations
7.
Jiang, Zhen, Qiming Duan, Edward L. LaGory, et al.. (2022). KLF15 cistromes reveal a hepatocyte pathway governing plasma corticosteroid transport and systemic inflammation. Science Advances. 8(10). eabj2917–eabj2917. 18 indexed citations
8.
Giorgi, Marco De, Ang Li, Ayrea Hurley, et al.. (2021). Targeting the Apoa1 locus for liver-directed gene therapy. Molecular Therapy — Methods & Clinical Development. 21. 656–669. 14 indexed citations
9.
Wakimoto, Hiroko, Zhe Jiao, Joshua Gorham, et al.. (2020). BET bromodomain proteins regulate transcriptional reprogramming in genetic dilated cardiomyopathy. JCI Insight. 5(15). 22 indexed citations
10.
Zhang, Yang, Alexander Federation, Soomin Kim, et al.. (2018). Targeting nuclear receptor NR4A1–dependent adipocyte progenitor quiescence promotes metabolic adaptation to obesity. Journal of Clinical Investigation. 128(11). 4898–4911. 25 indexed citations
11.
Brown, Jonathan D., Charles Y. Lin, Qiong Duan, et al.. (2014). NF-κB Directs Dynamic Super Enhancer Formation in Inflammation and Atherogenesis. Molecular Cell. 56(2). 219–231. 453 indexed citations breakdown →
12.
Nallamshetty, Shriram, Eun‐Jung Rhee, Florian W. Kiefer, et al.. (2013). Deficiency of Retinaldehyde Dehydrogenase 1 Induces BMP2 and Increases Bone Mass In Vivo. PLoS ONE. 8(8). e71307–e71307. 25 indexed citations
13.
Kiefer, Florian W., Cécile Vernochet, Patrick O’Brien, et al.. (2012). Retinaldehyde dehydrogenase 1 regulates a thermogenic program in white adipose tissue. Nature Medicine. 18(6). 918–925. 164 indexed citations
14.
Lee, Jung Hoon, Petros Giannikopoulos, Stephen A. Duncan, et al.. (2011). The transcription factor cyclic AMP–responsive element–binding protein H regulates triglyceride metabolism. Nature Medicine. 17(7). 812–815. 165 indexed citations
15.
Kim, Hyung Jun, Natasha Fillmore, Jonathan D. Brown, et al.. (2008). Thyroid hormone effects on LKB1, MO25, phospho-AMPK, phospho-CREB, and PGC-1α in rat muscle. Journal of Applied Physiology. 105(4). 1218–1227. 42 indexed citations
16.
Kanda, Takeshi, Jonathan D. Brown, Gabriela Orasanu, et al.. (2008). PPARγ in the endothelium regulates metabolic responses to high-fat diet in mice. Journal of Clinical Investigation. 119(1). 110–24. 135 indexed citations
17.
Ahmed, Waleed, Ouliana Ziouzenkova, Jonathan D. Brown, et al.. (2007). PPARs and their metabolic modulation: new mechanisms for transcriptional regulation?. Journal of Internal Medicine. 262(2). 184–198. 117 indexed citations
18.
Thomson, David M., Seth T. Herway, Natasha Fillmore, et al.. (2007). AMP-activated protein kinase phosphorylates transcription factors of the CREB family. Journal of Applied Physiology. 104(2). 429–438. 163 indexed citations
19.
Shafi, Shahida, et al.. (2000). Effect of Reserpine Treatment on Low-Density Lipoproteins in Arterial Wall and Internal Organs of Rats. Journal of Cardiovascular Pharmacology. 35(5). 686–692. 4 indexed citations

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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