Tim Brown

4.6k citations
138 papers · 3.5k · h-index 36

Impact in

Papers in

Tim Brown

130 papers receiving 3.2k citations

Peers

Tim Brown
Comparison fields: 5 of 184
  • Endocrinology 590
  • Infectious Diseases 647
  • Global and Planetary Change 689
  • Parasitology 147
  • Epidemiology 441
Replace Xavier Rodó with:
Xavier Rodó Spain
Michael Emch United States
Yujun Cui China
Paul R. Epstein United States
Andrew K. Githeko Kenya
Iain Lake United Kingdom
Marino Gatto Italy
Jan C. Semenza Sweden
Ayesha S. Mahmud United States
Shlomit Paz Israel
Tim Brown relative to Xavier Rodó Spain Xavier Rodó's profile →
Citations per field
00.5×1.5×2.3×
Xavier Rodó · 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 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003459
2 2000170
3 2004159
4 1980110
5 200998
6 200282
7 198074
8 197774
9 197971
10 198268
11 200566
12 201962
13 197862
14 201260
15 200958
16 201955
17 201254
18 201554
19 200850
20 200048

About Tim Brown

Tim Brown is a scholar working on General Health Professions, Endocrinology, Sociology and Political Science, Global and Planetary Change and Infectious Diseases, having authored 138 papers that have together received 3.5k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (19 papers), Vibrio bacteria research studies (9 papers), Global Public Health Policies and Epidemiology (9 papers), Tuberculosis Research and Epidemiology (9 papers), Fire effects on ecosystems (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 (590 citations), Infectious Diseases (647 citations), Global and Planetary Change (689 citations), Parasitology (147 citations) and Epidemiology (441 citations). Tim Brown has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Ray Cursons, A. L. Westerling, Alexander Gershunov, Elizabeth A. Keys, Daniel R. Cayan, Michael D. Dettinger, Richard Anthony, Morag Bell, G.L. French and Francis 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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