Jaebong Kim

2.2k citations
81 papers · 1.8k · h-index 25

Impact in

Papers in

    • Developmental Biology and Gene Regulation 23
    • Epigenetics and DNA Methylation 11
    • Pluripotent Stem Cells Research 10
    • Congenital heart defects research 9
    • TGF-β signaling in diseases 7
    • Ubiquitin and proteasome pathways 5
    • Microtubule and mitosis dynamics 7

Jaebong Kim

78 papers receiving 1.8k citations

Peers

Jaebong Kim
Comparison fields: 5 of 106
  • Aging 34
  • Cell Biology 277
  • Molecular Biology 1.1k
  • Developmental Neuroscience 55
  • Geriatrics and Gerontology 44
Replace Gyu‐Un Bae with:
Gyu‐Un Bae South Korea
Xiaojun Zhu China
Rie Asada Japan
Nicolas Tajeddine Belgium
Philip J. Papst United States
Satoru Torii Japan
Lisa M. Ooms Australia
Alessandro Rufini United Kingdom
Hwan‐Woo Park South Korea
Ketaki Datta United States
Jaebong Kim relative to Gyu‐Un Bae South Korea Gyu‐Un Bae's profile →
Citations per field
00.5×2.8×
Gyu‐Un Bae · 1×
Citations per year

Countries citing papers authored by Jaebong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaebong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 2008115
3 199877
4 199863
5 200953
6 201651
7 201551
8 200049
9 199749
10 199946
11 201545
12 201643
13 201136
14 202334
15 201034
16 200434
17 200734
18 201433
19 200531
20 202129

About Jaebong Kim

Jaebong Kim is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Immunology, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (23 papers), Epigenetics and DNA Methylation (11 papers), Pluripotent Stem Cells Research (10 papers), Congenital heart defects research (9 papers), Microtubule and mitosis dynamics (7 papers), TGF-β signaling in diseases (7 papers), Cancer-related Molecular Pathways (7 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Aging (34 citations), Cell Biology (277 citations), Molecular Biology (1.1k citations), Developmental Neuroscience (55 citations) and Geriatrics and Gerontology (44 citations). Jaebong Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Jae‐Yong Lee, Jae‐Bong Park, Shiv Kumar, Jong‐Il Kim, Jae-Bong Park, Ren‐He Xu, Hsiang‐Fu Kung, Unjoo Lee, Hee‐Jun Kim and Mi‐Young Moon. Their work appears in journals such as Experimental & Molecular Medicine, Animal Cells and Systems, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Molecular Biology Reports.

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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