Jennifer Hyde

2.6k citations
43 papers · 1.8k · h-index 21

Impact in

    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors
  • Immunology top 10%
    • interferon and immune responses

Papers in

Jennifer Hyde

42 papers receiving 1.8k citations

Peers

Jennifer Hyde
Comparison fields: 5 of 116
  • Infectious Diseases 530
  • Immunology 302
  • Animal Science and Zoology 152
  • Virology 60
  • Molecular Biology 758
Replace Robert H. Carnahan with:
Robert H. Carnahan United States
Mike Reichelt United States
Sam Zaremba United States
Guido Hansen Germany
Daniel Mayer United States
Susan Ou United States
Andrew W. Tai United States
Linda H.L. Lua Australia
Julien Maupetit France
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Citations per field
00.5×2.6×
Robert H. Carnahan · 1×
Citations per year

Countries citing papers authored by Jennifer Hyde

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hyde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003290
2 2003205
3 2015141
4 2014132
5 201994
6 200991
7 201574
8 201674
9 201274
10 200463
11 201053
12 201548
13 200343
14 201242
15 201534
16 202134
17 201333
18 202326
19 201625
20 201024

About Jennifer Hyde

Jennifer Hyde is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Genetics and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), interferon and immune responses (6 papers), Viral Infections and Immunology Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Face Recognition and Perception (5 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Infectious Diseases (530 citations), Immunology (302 citations), Animal Science and Zoology (152 citations), Virology (60 citations) and Molecular Biology (758 citations). Jennifer Hyde has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Michael Diamond, Michelle R. Arkin, Jason M. Mackenzie, Andrew C. Braisted, Johan D. Oslob, Robert S. McDowell, Warren L. DeLano, Mike Randal, Chul H. Yu and Elizabeth Carter. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Cancer Research and PLoS Pathogens.

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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