Thomas Brown

8.8k citations
151 papers · 2.9k · h-index 29

Impact in

Papers in

Thomas Brown

138 papers receiving 2.7k citations

Peers

Thomas Brown
Comparison fields: 5 of 162
  • Endocrinology 177
  • Animal Science and Zoology 339
  • Immunology 493
  • Microbiology 133
  • Physiology 522
Replace D. F. Kelly with:
D. F. Kelly United Kingdom
Samuel C. Forster Australia
Ilseung Cho United States
Mark R. Wallace United States
Xiaoyan Zhang China
Weidong Zhang China
Carolyn B. Coyne United States
Luisa Barzon Italy
Paul B. Beeson United Kingdom
Andrew L. Kau United States
Thomas Brown relative to D. F. Kelly United Kingdom D. F. Kelly's profile →
Citations per field
00.5×1.5×
D. F. Kelly · 1×
Citations per year

Countries citing papers authored by Thomas Brown

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007238
2 2017144
3 2016124
4 1998121
5 2020111
6 2020106
7 199295
8 198987
9 199981
10 201376
11 202368
12 201464
13 201859
14 201858
15 200055
16 199953
17
Prospective multi-center study elucidating patient experience after prostatic urethral lift.
201453
18 201852
19 199849
20 202045

About Thomas Brown

Thomas Brown is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Animal Science and Zoology, Epidemiology and Surgery, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (31 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (19 papers), Eosinophilic Esophagitis (12 papers), Respiratory and Cough-Related Research (12 papers), Eosinophilic Disorders and Syndromes (11 papers), Animal Virus Infections Studies (10 papers), Microbial infections and disease research (8 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Endocrinology (177 citations), Animal Science and Zoology (339 citations), Immunology (493 citations), Microbiology (133 citations) and Physiology (522 citations). Thomas Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anoop Chauhan, Deborah Young, Mary Collins, Spencer C. Liang, Kyri Dunussi‐Joannopoulos, Laura Wiffen, Stephan G. Thayer, Nancy Stedman, W. L. Steffens and George E. Rottinghaus. Their work appears in journals such as Avian Diseases, The Journal of Allergy and Clinical Immunology In Practice, European Respiratory Journal, Veterinary Pathology and Toxicologic Pathology.

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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