Jeff Hunt

628 citations
23 papers · 521 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Rabies epidemiology and control
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics

Papers in

Jeff Hunt

23 papers receiving 502 citations

Peers

Jeff Hunt
Comparison fields: 5 of 66
  • Virology 157
  • Parasitology 204
  • Infectious Diseases 113
  • Epidemiology 194
  • Hepatology 45
Replace M. Motz with:
M. Motz Germany
J. D. Oram United Kingdom
Yasuhiko Hayakawa Japan
Yanfen Ma China
Stéphanie Germon France
Linda M. Stannard South Africa
Nicholas Francella United States
M. Harley Jenks United States
Earl L. Blewett United States
Kenn Forberg United States
Jeff Hunt relative to M. Motz Germany M. Motz's profile →
Citations per field
00.5×3.8×
M. Motz · 1×
Citations per year

Countries citing papers authored by Jeff Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Hunt, 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 Jeff Hunt Line = papers co-authored together Jeff Hunt 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 2000142
2 198652
3 200450
4 198339
5 199836
6 199331
7 198827
8 199825
9 199021
10 199719
11 199714
12 199713
13 202110
14 19819
15
Molecular analyses of HIV-1 group O and HIV-2 variants from Africa.
19978
16
Capillary electrophoresis for purity estimation and in-process testing of recombinant GB virus-C proteins.
19976
17 19906
18 19903
19 19823
20 19902

About Jeff Hunt

Jeff Hunt is a scholar working on Infectious Diseases, Virology, Epidemiology, Immunology and Hepatology, having authored 23 papers that have together received 521 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (6 papers), Immune Cell Function and Interaction (4 papers), Hepatitis C virus research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Hepatitis B Virus Studies (3 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Virology (157 citations), Parasitology (204 citations), Infectious Diseases (113 citations), Epidemiology (194 citations) and Hepatology (45 citations). Jeff Hunt has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Paul V. Phibbs, Dominique Aubert, Linda E. Chovan, Isabelle Villena, John J. Marchalonis, G T Maine, J. M. Pinon, Gerardo R. Vasta, Sushil G. Devare and George J. Dawson. Their work appears in journals such as AIDS Research and Human Retroviruses, Journal of Clinical Microbiology, Journal of Medical Virology, Experimental Biology and Medicine and Journal of Histochemistry & Cytochemistry.

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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