Tim Brown

4.7k citations
135 papers · 3.6k · h-index 36

Impact in

Papers in

Tim Brown

127 papers receiving 3.2k citations

Peers

Tim Brown
Comparison fields: 5 of 187
  • Endocrinology 597
  • Infectious Diseases 681
  • Global and Planetary Change 698
  • Parasitology 146
  • Epidemiology 464
Replace Michael Emch with:
Michael Emch United States
Iain Richard Lake United Kingdom
William Pan United States
Hendrik N. Poinar Canada
Xavier Rodó Spain
Paul R. Epstein United States
Laura Elizabeth Green United Kingdom
Renato Casagrandi Italy
Enrico Bertuzzo Italy
Andrew Karanja Githeko Kenya
Tim Brown relative to Michael Emch United States Michael Emch's profile →
Citations per field
00.5×2×3.2×
Michael Emch · 1×
Citations per year

Countries citing papers authored by Tim Brown

Since Specialization
Citations

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

Fields of papers citing papers by Tim Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003448
2 2000172
3 2004164
4 1980111
5 200998
6 200283
7 198075
8 197774
9 197972
10 198268
11 201967
12 200567
13 197862
14 201259
15 201959
16 202056
17 201555
18 200954
19 201253
20 200849

About Tim Brown

Tim Brown is a scholar working on Endocrinology, Infectious Diseases, General Health Professions, Global and Planetary Change and Parasitology, having authored 135 papers that have together received 3.6k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (19 papers), Tuberculosis Research and Epidemiology (10 papers), Fire effects on ecosystems (10 papers), Global Public Health Policies and Epidemiology (9 papers), Vibrio bacteria research studies (9 papers), Parasitic Infections and Diagnostics (8 papers), Mycobacterium research and diagnosis (7 papers) and Adolescent Sexual and Reproductive Health (5 papers). The work is most often cited by research in Endocrinology (597 citations), Infectious Diseases (681 citations), Global and Planetary Change (698 citations), Parasitology (146 citations) and Epidemiology (464 citations). Tim Brown has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Ray T. Cursons, Elizabeth A. Keys, A. L. Westerling, Daniel R. Cayan, Alexander Gershunov, Michael D. Dettinger, Richard M. Anthony, Morag Bell, Gary L. French and Francis A. Drobniewski. Their work appears in journals such as New Zealand Journal of Marine and Freshwater Research, Social Science & Medicine, Health & Place, Applied and Environmental Microbiology and Journal of Medical Microbiology.

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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