Cheol‐Hee Kim

12.0k citations
235 papers · 8.5k indexed · 3 hit papers · h-index 46

Impact in

Papers in

Cheol‐Hee Kim

227 papers receiving 8.4k citations

Hit Papers

Zebrafish as an animal model for biomedical research 2021 · 335 citations
3352001202620092017200400600

Peers

Cheol‐Hee Kim
Comparison fields: 5 of 161
  • Cell Biology 2.6k
  • Developmental Neuroscience 505
  • Molecular Biology 5.5k
  • Cancer Research 751
  • Aging 81
Replace Bonnie Ullmann with:
Bonnie Ullmann United States
Bor Luen Tang Singapore
Kazushi Kimura Japan
Stefan Krauß Norway
Takashi Momoi Japan
Wim Annaert Belgium
William J. Pavan United States
Thomas A. Neubert United States
John R. Walker United States
Uwe Strähle Germany
Cheol‐Hee Kim relative to Bonnie Ullmann United States Bonnie Ullmann's profile →
Citations per field
00.5×1.7×
Bonnie Ullmann · 1×
Citations per year

Countries citing papers authored by Cheol‐Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Cheol‐Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202314
3 20232
4 20225
5 20222
6 20202
7 202018
8 202010
9 20198
10 201835
11 201816
12 201740
13 201755
14 201625
15 201643
16 201324
17 201271
18 201243
19 200925
20
Comparison of Immuno-Modulatory Regulatory Activities of Rubus coreanus Miquel by Ultra High Pressure Extracts Process
200713

About Cheol‐Hee Kim

Cheol‐Hee Kim is a scholar working on Cell Biology, Developmental Neuroscience, Molecular Biology, Cancer Research and Structural Biology, having authored 235 papers that have together received 8.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (50 papers), Developmental Biology and Gene Regulation (34 papers), Congenital heart defects research (21 papers), Advanced biosensing and bioanalysis techniques (12 papers), Genetics and Neurodevelopmental Disorders (12 papers), MicroRNA in disease regulation (11 papers), Molecular Sensors and Ion Detection (11 papers) and Microtubule and mitosis dynamics (10 papers). The work is most often cited by research in Cell Biology (2.6k citations), Developmental Neuroscience (505 citations), Molecular Biology (5.5k citations), Cancer Research (751 citations) and Aging (81 citations). Cheol‐Hee Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ajay Chitnis, Sang‐Yeob Yeo, Tae‐Ik Choi, Brant M. Weinstein, Motoyuki Itoh, Van N. Pham, José A. Campos‐Ortega, Nico Scheer, Nathan D. Lawson and Tae‐Young Choi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Development, Molecules and Cells and International Journal of Molecular 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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2026