John Hunt

82 papers receiving 1.5k citations

Peers

John Hunt
Comparison fields: 5 of 162
  • Microbiology 172
  • Family Practice 45
  • Hepatology 164
  • Endocrinology 105
  • Infectious Diseases 309
Replace Rodger D. MacArthur with:
Rodger D. MacArthur United States
Jennifer M. Anderson United States
Danny A. Milner United States
Dominik Heider Germany
Anand S. Dighe United States
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Zhendong Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by John Hunt

Since Specialization
Citations

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

Fields of papers citing papers by John Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001184
2 1971125
3 2006123
4
Synergy between hepatitis B virus expression and chemical hepatocarcinogens in transgenic mice.
1991120
5 2010105
6
Different lineages of chemically induced hepatocellular carcinoma in rats defined by monoclonal antibodies.
1989104
7 199379
8 198775
9 199868
10 199567
11 200066
12 198638
13 200238
14 198437
15 200530
16 198328
17 200327
18 199423
19 198823
20 201921

About John Hunt

John Hunt is a scholar working on Artificial Intelligence, Epidemiology, Electrical and Electronic Engineering, Information Systems and Infectious Diseases, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Physics and Python Applications (14 papers), Advanced Software Engineering Methodologies (6 papers), Software Engineering Research (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Liver physiology and pathology (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Scientific Computing and Data Management (4 papers) and Model-Driven Software Engineering Techniques (4 papers). The work is most often cited by research in Microbiology (172 citations), Family Practice (45 citations), Hepatology (164 citations), Endocrinology (105 citations) and Infectious Diseases (309 citations). John Hunt has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Harold A. Dunsford, Stewart Sell, Philip I. Marcus, Jeffrey Kaye, Tamara Hayes, André Adami, L Stockman, Glenn D. Roberts, Margaret J. Sekellick and Dean Engelhardt. Their work appears in journals such as The Journal of Infectious Diseases, Carcinogenesis, Journal of Clinical Microbiology, Applied Physics Letters and IEEE Photonics Technology Letters.

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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