Kelly A. Soderberg

5.3k citations
12 papers · 923 · h-index 9

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • HIV Research and Treatment 7
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Kelly A. Soderberg

12 papers receiving 911 citations

Peers

Kelly A. Soderberg
Comparison fields: 5 of 67
  • Virology 303
  • Immunology 620
  • Transplantation 17
  • Epidemiology 204
  • Infectious Diseases 97
Replace SangKon Oh with:
SangKon Oh United States
Wilfried Bardet United States
Philip K. Ehrenberg United States
Zoltán Bánki Austria
Sunil Kannanganat United States
Motohide Ichino Japan
Diane L. Bolton United States
Melissa Precopio United States
Abigail King United Kingdom
Tilman Dumrese Germany
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Citations per field
00.5×4.3×
SangKon Oh · 1×
Citations per year

Countries citing papers authored by Kelly A. Soderberg

Since Specialization
Citations

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

Fields of papers citing papers by Kelly A. Soderberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly A. Soderberg. 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 Kelly A. Soderberg. The network helps show where Kelly A. Soderberg may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003319
2 2012126
3 2005114
4 201297
5 201678
6 201166
7 201246
8 200239
9 200426
10 20127
11 20093
12 20202

About Kelly A. Soderberg

Kelly A. Soderberg is a scholar working on Virology, Immunology, Epidemiology, Infectious Diseases and Hematology, having authored 12 papers that have together received 923 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), HIV/AIDS drug development and treatment (2 papers), Herpesvirus Infections and Treatments (2 papers), HIV/AIDS Research and Interventions (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (303 citations), Immunology (620 citations), Transplantation (17 citations), Epidemiology (204 citations) and Infectious Diseases (97 citations). Kelly A. Soderberg has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Akiko Iwasaki, Melissa Linehan, Eszter Deák, Xinyan Zhao, Jia Zhu, David M. Knipe, Ruslan Medzhitov, Steven S. Segal, Ayuko Sato and Geoffrey W. Payne. Their work appears in journals such as Journal of Virology, Science Immunology, Journal of the American Medical Informatics Association, Retrovirology and Proceedings of the National Academy of Sciences.

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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