Chong Kim

1.4k citations
75 papers · 981 · h-index 16

Impact in

    • CAR-T cell therapy research
    • Complement system in diseases
    • Immune Cell Function and Interaction

Papers in

Chong Kim

67 papers receiving 943 citations

Peers

Chong Kim
Comparison fields: 5 of 118
  • Oncology 192
  • Immunology 134
  • Anesthesiology and Pain Medicine 31
  • Hematology 63
  • Molecular Biology 374
Replace Yuko Nakano with:
Yuko Nakano Japan
Gary A. Croghan United States
Masanori Hasegawa Japan
Kent Armeson United States
Della Makower United States
David Irvine United Kingdom
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Citations per field
00.5×3.9×
Yuko Nakano · 1×
Citations per year

Countries citing papers authored by Chong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 198063
3 198763
4 197759
5 201852
6 201849
7 201548
8 201639
9 201833
10 201831
11 198129
12 197827
13 202326
14 202321
15 197720
16 202315
17 201215
18 202112
19 201712
20 201812

About Chong Kim

Chong Kim is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine, Public Health, Environmental and Occupational Health, Epidemiology and Neurology, having authored 75 papers that have together received 981 indexed citations. Recurring topics across this work include Pain Management and Treatment (9 papers), Photosynthetic Processes and Mechanisms (8 papers), Hepatitis B Virus Studies (4 papers), Opioid Use Disorder Treatment (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), ATP Synthase and ATPases Research (3 papers), Complement system in diseases (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Oncology (192 citations), Immunology (134 citations), Anesthesiology and Pain Medicine (31 citations), Hematology (63 citations) and Molecular Biology (374 citations). Chong Kim has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Mark J. Osborn, Jakub Tolar, Ramaswamy H. Sarma, Tsoo E. King, Jonathan D. Campbell, Joyce Johnson Diwan, John C. Salerno, Henry Tedeschi, Kelly G. Knupp and Melanie D. Whittington. Their work appears in journals such as Pain Physician, Vox Sanguinis, Biochemical and Biophysical Research Communications, Oncology Reports and American Journal of Physical Medicine & Rehabilitation.

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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