KH Kim

2.9k citations
48 papers · 1.4k · h-index 20

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Connective Tissue Growth Factor Research 8
    • Fungal and yeast genetics research 4
    • Peroxisome Proliferator-Activated Receptors 3
    • Aquaculture disease management and microbiota 5

KH Kim

46 papers receiving 1.4k citations

Peers

KH Kim
Comparison fields: 5 of 104
  • Immunology 359
  • Hepatology 114
  • Aging 25
  • Molecular Biology 746
  • Rehabilitation 61
Replace Dan F. Spandau with:
Dan F. Spandau United States
Said Hashemolhosseini Germany
Nathalie Perreault Canada
Jianwen Que United States
Wassila Carpentier France
Florent Dumont France
Agnieszka M Lichanska Australia
Youxin Jin China
Uma Sankar United States
Jean‐Philippe Breittmayer France
KH Kim relative to Dan F. Spandau United States Dan F. Spandau's profile →
Citations per field
00.5×1.5×
Dan F. Spandau · 1×
Citations per year

Countries citing papers authored by KH Kim

Since Specialization
Citations

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

Fields of papers citing papers by KH Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013214
2 2015130
3 2010121
4 199483
5 201581
6 200578
7 201869
8 200466
9 201554
10 200348
11 202248
12 201541
13 200334
14 200732
15 200831
16 200224
17 200324
18 199122
19 200920
20 200719

About KH Kim

KH Kim is a scholar working on Molecular Biology, Immunology, Surgery, Ecology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (8 papers), Parasite Biology and Host Interactions (5 papers), Aquaculture disease management and microbiota (5 papers), Fungal and yeast genetics research (4 papers), Liver physiology and pathology (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Biofuel production and bioconversion (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology (359 citations), Hepatology (114 citations), Aging (25 citations), Molecular Biology (746 citations) and Rehabilitation (61 citations). KH Kim has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Lester F. Lau, Chih-Chiun Chen, Ricardo I. Monzon, Xuyi Luo, Hyun‐Jin Tae, Gianfranco Alpini, Jacob Choi, Jong Hoon Won, SK Kim and Chih‐Chun Chen. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Biological Chemistry, The Journal of Microbiology, Molecules and Cells and Nature Communications.

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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