Philip M. Brown

4.3k total citations · 2 hit papers
105 papers, 2.5k citations indexed

About

Philip M. Brown is a scholar working on Surgery, Molecular Biology and Dermatology. According to data from OpenAlex, Philip M. Brown has authored 105 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 16 papers in Molecular Biology and 13 papers in Dermatology. Recurrent topics in Philip M. Brown's work include Dermatology and Skin Diseases (13 papers), Psoriasis: Treatment and Pathogenesis (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Philip M. Brown is often cited by papers focused on Dermatology and Skin Diseases (13 papers), Psoriasis: Treatment and Pathogenesis (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Philip M. Brown collaborates with scholars based in United States, United Kingdom and Canada. Philip M. Brown's co-authors include Arthur G. Pratt, John D. Isaacs, Keith R. Fox, Marcie J. Hursting, Anita Abu‐Daya, Kimme L Hyrich, Marian P. LaMonte, P.H. Sönksen, Peter H. Sönksen and Stephen Smith and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Nucleic Acids Research.

In The Last Decade

Philip M. Brown

100 papers receiving 2.4k citations

Hit Papers

Mechanism of action of methotrexate in rheumatoid arthrit... 2016 2026 2019 2022 2016 2024 100 200 300

Peers

Philip M. Brown
Comparison fields: 5 of 158
  • Molecular Biology 557
  • Surgery 462
  • Physiology 351
  • Immunology 307
  • Rheumatology 277
Damien Gruson Belgium
Κassem Sharif Israel
Yolanda Jiménez Spain
Lijuan Wang China
Takahisa Kawaguchi Japan
Wen‐Pin Chen Taiwan
Shaye Kivity Israel
Ju‐Young Kim South Korea
Catherine Creuzot‐Garcher France
Ross McManus Ireland
Damien Gruson Belgium View profile →
Citations per field, relative to Philip M. Brown
Philip M. Brown · 1×
Citations per year, relative to Philip M. Brown
Philip M. Brown · 1×

Countries citing papers authored by Philip M. Brown

Since Specialization
Citations

This map shows the geographic impact of Philip 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 Philip 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 Philip M. Brown more than expected).

Fields of papers citing papers by Philip M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Brown. A scholar is included among the top collaborators of Philip 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 Philip M. Brown. Philip 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
# Work Indexed citations
1 2
2 1
3 0
4
Therapeutic advances in rheumatoid arthritis breakdown →
130
5 22
6 2
7 44
8 8
9 1
10 3
11 12
12 55
13
Benchmark yourself: Self-reflecting about online teaching
8
14 17
15 70
16
Faculty Hiring Practices in Social Work Education: A National Survey
2
17 3
18 3
19 1
20 83

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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