Eric J. Gowans

4.5k citations
138 papers · 3.8k · h-index 37

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
  • Virology top 2%
    • HIV Research and Treatment

Papers in

    • Hepatitis B Virus Studies 74
    • Liver Disease Diagnosis and Treatment 17
    • Hepatitis C virus research 81

Eric J. Gowans

137 papers receiving 3.7k citations

Peers

Eric J. Gowans
Comparison fields: 5 of 97
  • Hepatology 1.8k
  • Virology 337
  • Epidemiology 2.0k
  • Infectious Diseases 724
  • Immunology 771
Replace Hiroshi Yoshikura with:
Hiroshi Yoshikura Japan
Colin R. Howard United Kingdom
Zijiang Zhao Japan
Koji Ishii Japan
Gary Van Nest United States
Margaret Chen Sweden
Geneviève Inchauspé France
Janice Hughes United States
Fabiana Falugi Italy
Matti Sällberg Sweden
Eric J. Gowans relative to Hiroshi Yoshikura Japan Hiroshi Yoshikura's profile →
Citations per field
00.5×4.4×
Hiroshi Yoshikura · 1×
Citations per year

Countries citing papers authored by Eric J. Gowans

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Gowans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Gowans. 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 Eric J. Gowans. The network helps show where Eric J. Gowans may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013169
2 2007129
3
Some serological techniques for microbial and viral infections
1996117
4 1987106
5 2016105
6 200795
7 200082
8 199181
9 200171
10 199671
11 199067
12 199165
13 199665
14 200965
15 201964
16 198462
17 200760
18 198758
19 198857
20 200755

About Eric J. Gowans

Eric J. Gowans is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Immunology and Molecular Biology, having authored 138 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (81 papers), Hepatitis B Virus Studies (74 papers), Animal Virus Infections Studies (18 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Liver Disease Diagnosis and Treatment (17 papers), Immunotherapy and Immune Responses (16 papers), Viral gastroenteritis research and epidemiology (15 papers) and Immune Cell Function and Interaction (12 papers). The work is most often cited by research in Hepatology (1.8k citations), Virology (337 citations), Epidemiology (2.0k citations), Infectious Diseases (724 citations) and Immunology (771 citations). Eric J. Gowans has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Thomas B. Macnaughton, Christopher J. Burrell, Allison R. Jilbert, Branka Grubor‐Bauk, Danushka K. Wijesundara, C. J. Burrell, Joseph Torresi, Shuo Li, Rachel Trowbridge and B. P. Marmion. Their work appears in journals such as Journal of Virology, Virology, Journal of General Virology, Journal of Viral Hepatitis and Hepatology.

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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