Jong J. Kim

1.9k citations
28 papers · 1.7k · h-index 23

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Jong J. Kim

25 papers receiving 1.6k citations

Peers

Jong J. Kim
Comparison fields: 5 of 47
  • Virology 237
  • Immunology 482
  • Cardiology and Cardiovascular Medicine 238
  • Epidemiology 198
  • Parasitology 31
Replace Shudo Yamazaki with:
Shudo Yamazaki Japan
Jillian M. Carr Australia
R C Kennedy United States
Frans W. A. Heessen Netherlands
Steven J. Mento United States
Naomi Dybdahl-Sissoko United States
K J Reagan United States
Vineet Joag United States
Ivan Stratov Australia
Stuart Marshall-Clarke United Kingdom
Jong J. Kim relative to Shudo Yamazaki Japan Shudo Yamazaki's profile →
Citations per field
00.5×5×10.3×
Shudo Yamazaki · 1×
Citations per year

Countries citing papers authored by Jong J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998205
2 1999181
3 1999136
4 2000111
5 199892
6 201592
7 199976
8 200870
9 200067
10 199866
11 199863
12 199961
13 200160
14 201047
15 199842
16 201541
17 199938
18 200037
19 199736
20 201536

About Jong J. Kim

Jong J. Kim is a scholar working on Immunology, Virology, Cardiology and Cardiovascular Medicine, Epidemiology and Nuclear Energy and Engineering, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Herpesvirus Infections and Treatments (5 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Virology (237 citations), Immunology (482 citations), Cardiology and Cardiovascular Medicine (238 citations), Epidemiology (198 citations) and Parasitology (31 citations). Jong J. Kim has collaborated with scholars based in United States, France and China. Frequent co-authors include David B. Weiner, Jean Boyer, Terry Jay Higgins, Jeong‐Im Sin, Richard B. Ciccarelli, Anthony Tsai, Guy Salama, Liesl K. Nottingham, Jeong‐Im Sin and Ara A. Chalian. Their work appears in journals such as Journal of Virology, European Journal of Immunology, Vaccine, Human Gene Therapy and The Journal of Immunology.

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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