Thomas J. Brown

65 papers receiving 2.4k citations

Peers

Thomas J. Brown
Comparison fields: 5 of 117
  • Dermatology 535
  • Infectious Diseases 770
  • Endocrinology, Diabetes and Metabolism 348
  • Genetics 536
  • Process Chemistry and Technology 49
Replace Thomas T. Kawabata with:
Thomas T. Kawabata United States
Masaaki Toda Japan
Erin R. Gardner United States
Susan L. Kelley United States
Andrew Gibson United States
Toru Kino Japan
Marco G. Paggi Italy
Michihisa Nishiyama Japan
Frederick S. Philips United States
Miguel Izquierdo Spain
Thomas J. Brown relative to Thomas T. Kawabata United States Thomas T. Kawabata's profile →
Citations per field
00.5×12.2×
Thomas T. Kawabata · 1×
Citations per year

Countries citing papers authored by Thomas J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 20121
3 20080
4 200460
5 2001150
6 19986
7 19989
8 19954
9 19959
10 1994103
11 199362
12
Infection of laboratory rabbits with hiv 1 and htlv i
19922
13 199243
14 199233
15 19917
16 199059
17 199010
18 19883
19 198619
20 198432

About Thomas J. Brown

Thomas J. Brown is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Infectious Diseases, Biophysics and Genetics, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (10 papers), Pancreatic function and diabetes (10 papers), Parvovirus B19 Infection Studies (7 papers), Diabetes and associated disorders (6 papers), Receptor Mechanisms and Signaling (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Dermatological and COVID-19 studies (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Dermatology (535 citations), Infectious Diseases (770 citations), Endocrinology, Diabetes and Metabolism (348 citations), Genetics (536 citations) and Process Chemistry and Technology (49 citations). Thomas J. Brown has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Barry H. Ginsberg, Bernard Cohen, Jonathan P. Clewley, Aditi Anand, Elizabeth Gray, Thomas M. Reid, Donald Reid, John Rennie, C J Eastmond and Arthur A. Spector. Their work appears in journals such as Journal of Medicinal Chemistry, Diabetes, Journal of Cardiovascular Pharmacology, Biochemical and Biophysical Research Communications and Bioorganic & Medicinal Chemistry Letters.

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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