Jim Kim

701 citations
24 papers · 472 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research

Papers in

    • Organ Transplantation Techniques and Outcomes 10
    • Transplantation: Methods and Outcomes 3
    • Pancreatitis Pathology and Treatment 2

Jim Kim

23 papers receiving 458 citations

Peers

Jim Kim
Comparison fields: 5 of 62
  • Transplantation 102
  • Hepatology 119
  • Surgery 214
  • Public Health, Environmental and Occupational Health 125
  • Immunology 82
Replace T Yagisawa with:
T Yagisawa Japan
Margien L. Seinen Netherlands
Marcia M. L. Kho Netherlands
Milford El United States
J.M. Boria Grinyo Spain
Louise Flynn United States
Luis Gaite Argentina
Dunfeng Du China
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Citations per field
00.5×4.9×
T Yagisawa · 1×
Citations per year

Countries citing papers authored by Jim Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 200758
3 201657
4 202351
5 200836
6 198628
7 202018
8 202118
9 198316
10
Effect of fatty acid modification of cultured hepatoma cells on susceptibility to natural killer cells.
198214
11 202011
12 20209
13 20178
14 20206
15 20074
16 20074
17 20242
18 20202
19 20251
20 20211

About Jim Kim

Jim Kim is a scholar working on Surgery, Epidemiology, Hepatology, Infectious Diseases and Molecular Biology, having authored 24 papers that have together received 472 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (10 papers), Renal Transplantation Outcomes and Treatments (4 papers), Organ Donation and Transplantation (4 papers), Liver Disease and Transplantation (4 papers), Transplantation: Methods and Outcomes (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Pancreatitis Pathology and Treatment (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Transplantation (102 citations), Hepatology (119 citations), Surgery (214 citations), Public Health, Environmental and Occupational Health (125 citations) and Immunology (82 citations). Jim Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Fengchun Liu, Sang‐Mo Kang, Hans W. Sollinger, Yoshinori Takeda, Robert B. Love, Philip Y. Wai, Luis A. Fernandez, Joshua D. Mezrich, Jon S. Odorico and W.F. Anderson. Their work appears in journals such as American Journal of Transplantation, Surgery, Journal of Molecular Biology, Transplantation and Clinical Infectious Diseases.

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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