Gavin J. D. Smith

22.1k citations
138 papers · 13.5k indexed · 8 hit papers · h-index 55

Impact in

Papers in

Gavin J. D. Smith

136 papers receiving 13.1k citations

Hit Papers

Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients 2021 · 440 citations
440200520262012201950010001.5k

Peers

Gavin J. D. Smith
Comparison fields: 5 of 171
  • Agronomy and Crop Science 4.7k
  • Infectious Diseases 6.1k
  • Epidemiology 9.6k
  • Modeling and Simulation 682
  • Animal Science and Zoology 1.3k
Replace Gabriele Neumann with:
Gabriele Neumann United States
Theo M. Bestebroer Netherlands
M.C.M. de Jong Netherlands
Hiroshi Kida Japan
Derek J. Smith United Kingdom
Ayato Takada Japan
Terrence M. Tumpey United States
Jacqueline M. Katz United States
Thijs Kuiken Netherlands
Richard J. Webby United States
Gavin J. D. Smith relative to Gabriele Neumann United States Gabriele Neumann's profile →
Citations per field
00.5×1.7×
Gabriele Neumann · 1×
Citations per year

Countries citing papers authored by Gavin J. D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Gavin J. D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin J. D. Smith. 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 Gavin J. D. Smith. The network helps show where Gavin J. D. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20231
3 20231
4 202310
5 20237
6 202225
7 20223
8 20222
9 202111
10 20218
11 20213
12 202012
13 202018
14 202010
15 201929
16 201991
17 201715
18 20177
19 2007204
20 2006256

About Gavin J. D. Smith

Gavin J. D. Smith is a scholar working on Agronomy and Crop Science, Infectious Diseases, Epidemiology, Animal Science and Zoology and Modeling and Simulation, having authored 138 papers that have together received 13.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (71 papers), Animal Disease Management and Epidemiology (57 papers), Viral Infections and Vectors (36 papers), Respiratory viral infections research (34 papers), Viral gastroenteritis research and epidemiology (32 papers), Animal Virus Infections Studies (19 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Agronomy and Crop Science (4.7k citations), Infectious Diseases (6.1k citations), Epidemiology (9.6k citations), Modeling and Simulation (682 citations) and Animal Science and Zoology (1.3k citations). Gavin J. D. Smith has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Yi Guan, Malik Peiris, Dhanasekaran Vijaykrishna, Robert G. Webster, Honglin Chen, Justin Bahl, Y. M. Cheung, Leo L. M. Poon, Oliver G. Pybus and Samir Bhatt. Their work appears in journals such as Journal of Virology, Emerging infectious diseases, Viruses, PLoS Pathogens and Proceedings of the National Academy of Sciences.

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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