Karen E. Gooch

1.5k citations
18 papers · 498 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Immune responses and vaccinations
    • Immune Response and Inflammation

Papers in

    • Tuberculosis Research and Epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 4

Karen E. Gooch

17 papers receiving 483 citations

Peers

Karen E. Gooch
Comparison fields: 5 of 70
  • Infectious Diseases 306
  • Immunology 161
  • Epidemiology 189
  • Virology 26
  • Microbiology 20
Replace Takehiro Ura with:
Takehiro Ura Japan
Chen-Yi Chiang Taiwan
Jerry Sadoff Netherlands
Cynthia Strout United States
Taff Jones Canada
Angela Howard United States
Lucas J. Adams United States
Wieslawa Olszewska United Kingdom
E Filley United Kingdom
Kristin M. Long United States
Karen E. Gooch relative to Takehiro Ura Japan Takehiro Ura's profile →
Citations per field
00.5×1.5×2.3×
Takehiro Ura · 1×
Citations per year

Countries citing papers authored by Karen E. Gooch

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Gooch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Gooch. 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 Karen E. Gooch. The network helps show where Karen E. Gooch may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019114
2 2010106
3 201369
4 200960
5 200623
6 201723
7 201918
8 201817
9 201914
10 202112
11 201711
12 20238
13 20227
14 20216
15 20216
16 20242
17 20212
18 20250

About Karen E. Gooch

Karen E. Gooch is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Surgery, having authored 18 papers that have together received 498 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Influenza Virus Research Studies (6 papers), Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immune responses and vaccinations (3 papers), Immune Cell Function and Interaction (3 papers), COVID-19 Clinical Research Studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (306 citations), Immunology (161 citations), Epidemiology (189 citations), Virology (26 citations) and Microbiology (20 citations). Karen E. Gooch has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Philip D. Marsh, Ann Williams, S. Sharpe, Miles W. Carroll, Andrew White, Simon Clark, Anthony McIntyre, Fergus Gleeson, Anthony C. Marriott and Randall J. Basaraba. Their work appears in journals such as Scientific Reports, Viruses, Clinical and Vaccine Immunology, npj Vaccines 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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