Kevin M. Brown

56.5k total citations · 9 hit papers
197 papers, 14.7k citations indexed

About

Kevin M. Brown is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Kevin M. Brown has authored 197 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Pulmonary and Respiratory Medicine, 50 papers in Molecular Biology and 33 papers in Physiology. Recurrent topics in Kevin M. Brown's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (67 papers), Sarcoidosis and Beryllium Toxicity Research (21 papers) and Occupational and environmental lung diseases (15 papers). Kevin M. Brown is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (67 papers), Sarcoidosis and Beryllium Toxicity Research (21 papers) and Occupational and environmental lung diseases (15 papers). Kevin M. Brown collaborates with scholars based in United States, Canada and United Kingdom. Kevin M. Brown's co-authors include Ganesh Raghu, David A. Lynch, Roland M. du Bois, Talmadge E. King, Luca Richeldi, Amy L. Olson, Moisés Selman, Carlyne D. Cool, David A. Schwartz and Ulrich Costabel and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kevin M. Brown

193 papers receiving 14.3k citations

Hit Papers

Efficacy of a Tyrosine Kinase Inhibitor in Idiopathi... 2001 2026 2009 2017 2011 2012 2017 2015 2010 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficacy of a Tyrosine Kinase Inhibitor in Idiopathic Pulmonary Fibrosis
    2011 811 citations Luca Richeldi, Ulrich Costabel et al. profile →
  2. An Official American Thoracic Society Clinical Practice Guideline: The Clinical Utility of Bronchoalveolar Lavage Cellular Analysis in Interstitial Lung Disease
    2012 720 citations Keith C. Meyer, Ganesh Raghu et al. American Journal of Respiratory and Critical Care Medicine profile →
  3. Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society White Paper
    2017 655 citations David A. Lynch, Kevin M. Brown et al. profile →
  4. An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features
    2015 655 citations Aryeh Fischer, Kevin M. Brown et al. profile →
  5. A Versatile Gene-Based Test for Genome-wide Association Studies
    2010 545 citations Kevin M. Brown, Nicholas K. Hayward et al. profile →
  6. Mutations of the Cardiac Ryanodine Receptor (RyR2) Gene in Familial Polymorphic Ventricular Tachycardia
    2001 520 citations Kevin M. Brown et al. profile →
  7. Idiopathic Pulmonary Fibrosis
    2001 478 citations Talmadge E. King, Marvin I. Schwarz et al. American Journal of Respiratory and Critical Care Medicine profile →
  8. BUILD-3: A Randomized, Controlled Trial of Bosentan in Idiopathic Pulmonary Fibrosis
    2011 440 citations Talmadge E. King, Kevin M. Brown et al. American Journal of Respiratory and Critical Care Medicine profile →
  9. Nintedanib in patients with idiopathic pulmonary fibrosis: Combined evidence from the TOMORROW and INPULSIS® trials
    2016 330 citations Luca Richeldi, Vincent Cottin et al. Respiratory Medicine profile →

Peers

Kevin M. Brown
Terri H. Beaty United States
Rodney J. Scott Australia
Christopher I. Amos United States
Joel S. Greenberger United States
Gang Chen China
Lu Wang China
Eamonn R. Maher United Kingdom
Lucio Luzzatto United Kingdom
Josef T. Prchal United States
Dennis A. Johnston United States
Terri H. Beaty United States
Kevin M. Brown
Citations per year, relative to Kevin M. Brown Kevin M. Brown (= 1×) peers Terri H. Beaty

Countries citing papers authored by Kevin M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Brown. A scholar is included among the top collaborators of Kevin M. 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 Kevin M. Brown. Kevin M. 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.
Proksa, Roland, Heiner Daerr, Amy E. Perkins, et al.. (2025). Efficient spectral data reduction for accurate iodine quantification in multi-energy CT. Scientific Reports. 15(1). 26059–26059.
2.
Koslow, Matthew, David Baraghoshi, Jeffrey J. Swigris, et al.. (2025). One-Year Change in Quantitative Computed Tomography Is Associated with Meaningful Outcomes in Fibrotic Lung Disease. American Journal of Respiratory and Critical Care Medicine. 211(10). 1775–1784.
3.
Watkins‐Chow, Dawn E., Pakavarin Louphrasitthiphol, Tongwu Zhang, et al.. (2023). Single‐cell profiling of MC1R‐inhibited melanocytes. Pigment Cell & Melanoma Research. 37(2). 291–308. 3 indexed citations
4.
Phung, Bengt, Shamik Mitra, Martin Lauss, et al.. (2022). DNA promoter hypermethylation of melanocyte lineage genes determines melanoma phenotype. JCI Insight. 7(19). 9 indexed citations
5.
Avitan‐Hersh, Emily, Yongmei Feng, Yaniv Zohar, et al.. (2020). Regulation of eIF2α by RNF4 Promotes Melanoma Tumorigenesis and Therapy Resistance. Journal of Investigative Dermatology. 140(12). 2466–2477. 13 indexed citations
6.
Scortegagna, Marzia, Kathryn Hockemeyer, Igor Dolgalev, et al.. (2020). Siah2 control of T-regulatory cells limits anti-tumor immunity. Nature Communications. 11(1). 99–99. 17 indexed citations
7.
Brown, Kevin M., Kevin R. Flaherty, Vincent Cottin, et al.. (2018). Lung function outcomes in the INPULSIS® trials of nintedanib in idiopathic pulmonary fibrosis. Respiratory Medicine. 146. 42–48. 26 indexed citations
8.
Zhang, Tongwu, Mai Xu, Matthew Makowski, et al.. (2017). SDHD Promoter Mutations Ablate GABP Transcription Factor Binding in Melanoma. Cancer Research. 77(7). 1649–1661. 10 indexed citations
9.
Scortegagna, Marzia, Eric Lau, Tongwu Zhang, et al.. (2015). PDK1 and SGK3 Contribute to the Growth of BRAF-Mutant Melanomas and Are Potential Therapeutic Targets. Cancer Research. 75(7). 1399–1412. 44 indexed citations
10.
Feng, Yongmei, Anthony B. Pinkerton, Laura Hulea, et al.. (2015). SBI-0640756 Attenuates the Growth of Clinically Unresponsive Melanomas by Disrupting the eIF4F Translation Initiation Complex. Cancer Research. 75(24). 5211–5218. 26 indexed citations
11.
Harland, Mark, Mia Petljak, Carla Daniela Robles‐Espinoza, et al.. (2015). Germline TERT promoter mutations are rare in familial melanoma. Familial Cancer. 15(1). 139–144. 43 indexed citations
12.
Meyer, Keith C., Ganesh Raghu, Robert P. Baughman, et al.. (2012). An Official American Thoracic Society Clinical Practice Guideline: The Clinical Utility of Bronchoalveolar Lavage Cellular Analysis in Interstitial Lung Disease. American Journal of Respiratory and Critical Care Medicine. 185(9). 1004–1014. 720 indexed citations breakdown →
13.
Olson, Amy L., Jeffrey J. Swigris, David Sprunger, et al.. (2010). Rheumatoid Arthritis–Interstitial Lung Disease–associated Mortality. American Journal of Respiratory and Critical Care Medicine. 183(3). 372–378. 373 indexed citations
14.
Chen, Sean W. C., et al.. (2009). Human Heat Shock Protein 27 Overexpressing Mice Are Protected Against Hepatic Ischemia and Reperfusion Injury. Transplantation. 87(10). 1478–1487. 33 indexed citations
15.
Steele, Mark P., Marcy C. Speer, James E. Loyd, et al.. (2005). Clinical and Pathologic Features of Familial Interstitial Pneumonia. American Journal of Respiratory and Critical Care Medicine. 172(9). 1146–1152. 265 indexed citations
16.
Lynch, David A., J. David Godwin, Sharon Safrin, et al.. (2005). High-Resolution Computed Tomography in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 172(4). 488–493. 400 indexed citations
17.
18.
Khatua, Soumen, Kevin M. Brown, Christopher Lawlor, et al.. (2003). Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling.. PubMed. 63(8). 1865–70. 106 indexed citations
19.
Brown, Kevin M.. (2001). New voice, same story? Social entrepreneurship and active social capital formation. Deakin Research Online (Deakin University). 7(2). 7–22. 3 indexed citations
20.
King, Talmadge E., Marvin I. Schwarz, Kevin M. Brown, et al.. (2001). Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 164(6). 1025–1032. 478 indexed citations breakdown →

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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