Tim Brown

4.6k citations
129 papers · 3.3k indexed · h-index 34

Impact in

Papers in

Tim Brown

123 papers receiving 3.0k citations

Peers

Tim Brown
Comparison fields: 5 of 185
  • Endocrinology 561
  • Infectious Diseases 650
  • Global and Planetary Change 645
  • Parasitology 131
  • Epidemiology 517
Replace Paul R. Epstein with:
Paul R. Epstein United States
Jan C. Semenza Sweden
Michael Emch United States
Xavier Rodó Spain
Iain Lake United Kingdom
Diarmid Campbell‐Lendrum Switzerland
Andrew K. Githeko Kenya
David Waltner‐Toews Canada
Shlomit Paz Israel
Deborah Balk United States
Tim Brown relative to Paul R. Epstein United States Paul R. Epstein's profile →
Citations per field
00.5×4.8×
Paul R. Epstein · 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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003432
2 2000159
3 2004148
4 2009100
5 1980100
6 200279
7 198068
8 198267
9 197967
10 197766
11 200562
12 197859
13 201256
14 201956
15 200951
16 201250
17 201950
18 201548
19 200047
20 201644

About Tim Brown

Tim Brown is a scholar working on General Health Professions, Endocrinology, Infectious Diseases, Sociology and Political Science and Global and Planetary Change, having authored 129 papers that have together received 3.3k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (19 papers), Tuberculosis Research and Epidemiology (11 papers), Fire effects on ecosystems (9 papers), Vibrio bacteria research studies (9 papers), Global Public Health Policies and Epidemiology (8 papers), Parasitic Infections and Diagnostics (8 papers), Mycobacterium research and diagnosis (8 papers) and Global Healthcare and Medical Tourism (5 papers). The work is most often cited by research in Endocrinology (561 citations), Infectious Diseases (650 citations), Global and Planetary Change (645 citations), Parasitology (131 citations) and Epidemiology (517 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, Daniel R. Cayan, Alexander Gershunov, Elizabeth A. Keys, Michael D. Dettinger, Richard Anthony, G.L. French, Morag Bell and Francis Drobniewski. Their work appears in journals such as New Zealand Journal of Marine and Freshwater Research, Social Science & Medicine, Health & Place, Journal of Medical Microbiology and Applied and Environmental 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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