John G. Bernbaum

892 citations
26 papers · 619 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies

Papers in

    • Viral Infections and Outbreaks Research 14
    • Viral Infections and Vectors 10
    • SARS-CoV-2 and COVID-19 Research 4
    • Hepatitis B Virus Studies 6

John G. Bernbaum

26 papers receiving 606 citations

Peers

John G. Bernbaum
Comparison fields: 5 of 81
  • Virology 121
  • Infectious Diseases 415
  • Animal Science and Zoology 115
  • Structural Biology 8
  • Epidemiology 185
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Citations per year

Countries citing papers authored by John G. Bernbaum

Since Specialization
Citations

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

Fields of papers citing papers by John G. Bernbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 201172
3 201665
4 199261
5 201441
6 201832
7 201831
8 201430
9 202126
10 201126
11 201624
12 201820
13 201815
14 199813
15 199511
16 19959
17 20147
18 20207
19 20226
20 20215

About John G. Bernbaum

John G. Bernbaum is a scholar working on Infectious Diseases, Epidemiology, Virology, Genetics and Animal Science and Zoology, having authored 26 papers that have together received 619 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (10 papers), Hepatitis B Virus Studies (6 papers), Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers), Disaster Response and Management (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Virology (121 citations), Infectious Diseases (415 citations), Animal Science and Zoology (115 citations), Structural Biology (8 citations) and Epidemiology (185 citations). John G. Bernbaum has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Peter B. Jahrling, Reed F. Johnson, Christopher M. Coleman, Matthew B. Frieman, Matthias J. Schnell, Michael R. Holbrook, Christoph Wirblich, Justin Taylor, Jeanne M. Sisk and Sandra Postel. Their work appears in journals such as Journal of Virology, American Journal Of Pathology, The Journal of Infectious Diseases, Viruses and PLoS ONE.

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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