David W. Brighty

622 citations
23 papers · 545 · h-index 12

Impact in

Papers in

David W. Brighty

23 papers receiving 536 citations

Peers

David W. Brighty
Comparison fields: 5 of 51
  • Virology 149
  • Agronomy and Crop Science 204
  • Immunology 313
  • Ecology, Evolution, Behavior and Systematics 186
  • Infectious Diseases 80
Replace Jocelyn Turpin with:
Jocelyn Turpin France
Pingping Zhou China
Robyn Washington Parks United States
Harry Paskalis United States
Elizabeth A. Schafer United States
Kuan-Teh Jeang United States
Gisselle N. Medina United States
K. Ohishi Japan
M. WISKERCHEN United States
Michael Wallin Sweden
David W. Brighty relative to Jocelyn Turpin France Jocelyn Turpin's profile →
Citations per field
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Citations per year

Countries citing papers authored by David W. Brighty

Since Specialization
Citations

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

Fields of papers citing papers by David W. Brighty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Brighty. 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 David W. Brighty. The network helps show where David W. Brighty may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200392
2 199186
3 199467
4 201351
5 200136
6 200330
7 201122
8 200122
9 200020
10 200117
11 201117
12 200811
13 200810
14 200810
15 199610
16 201610
17 20078
18 20077
19 20087
20 20076

About David W. Brighty

David W. Brighty is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Virology and Infectious Diseases, having authored 23 papers that have together received 545 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (18 papers), Animal Disease Management and Epidemiology (15 papers), Vector-Borne Animal Diseases (14 papers), HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (5 papers), RNA Research and Splicing (5 papers), Immune Cell Function and Interaction (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Virology (149 citations), Agronomy and Crop Science (204 citations), Immunology (313 citations), Ecology, Evolution, Behavior and Systematics (186 citations) and Infectious Diseases (80 citations). David W. Brighty has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Marjorie Rosenberg, Martin Rosenberg, M Ivey-Hoyle, I S Chen, Josefina Piñón Hofbauer, Quentin J. Sattentau, Jonathan Weber, Per Johan Klasse, Sandy Y. Welson and Sharon M. Kelly. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Retrovirology, Proceedings of the National Academy of Sciences and Journal of General 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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