Tom Brown

892 citations
19 papers · 710 indexed · h-index 11
Topics
Viral gastroenteritis research and epidemiology (5 papers)Animal Virus Infections Studies (5 papers)Dyeing and Modifying Textile Fibers (2 papers)

In The Last Decade

Tom Brown

19 papers receiving 677 citations

Peers

Tom Brown
Comparison fields: 5 of 83
  • Infectious Diseases 402
  • Animal Science and Zoology 364
  • Cardiology and Cardiovascular Medicine 178
  • Molecular Biology 122
  • Plant Science 98
Replace K. Fujino with:
K. Fujino Japan
Nathalie Castagné France
M. E. Hardy United States
Shane D. Trask United States
A. W. Smith United States
Etsuko UTAGAWA Japan
Antoine AF de Vries Netherlands
S M Matsui United States
Rafaela Espinosa Mexico
Katsuro Natori Japan
Tom Brown relative to K. Fujino Japan K. Fujino's profile →
Citations per field
00.5×4.8×
K. Fujino · 1×
Citations per year

Countries citing papers authored by Tom Brown

Since Specialization
Citations

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

Fields of papers citing papers by Tom Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Brown. A scholar is included among the top collaborators of Tom Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Brown. Tom Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1
Impressions management: lessons from the oil industry
2
2 9
3
Scar closure and future timber value losses from thinning damage in western Oregon.
17
4 70
5 114
6 51
7 52
8 1
9
Molecular biology of avian infectious bronchitis virus.
10
10 262
11 1
12
Computational and experimental studies of two-dimensional nonlinear peristaltic pumping
2
13 4
14 11
15 31
16 19
17 10
18 32
19 12

About Tom Brown

Tom Brown is a scholar working on Fuel Technology, Animal Science and Zoology and Fluid Flow and Transfer Processes, having authored 19 papers that have together received 710 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (5 papers) and Dyeing and Modifying Textile Fibers (2 papers). The work is most often cited by research in Animal Science and Zoology (364 citations), Infectious Diseases (402 citations) and Cardiology and Cardiovascular Medicine (178 citations). Tom Brown has collaborated with scholars based in United Kingdom, Switzerland and Slovakia. Frequent co-authors include Ian Brierley, M. M. Binns, M. E. G. Boursnell, Terence P. Herbert, Vivian Blok, Stephen Inglis, Ding Xiang Liu, Hanqing Xu, J.M. Beér and D. Cavanagh. Their work appears in journals such as Nature, The EMBO Journal and Journal of Virology.

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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