Hak‐Min Kim

3.4k citations
41 papers · 1.4k · h-index 20

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • CRISPR and Genetic Engineering 3
    • RNA regulation and disease 2
    • Genetic diversity and population structure 2
    • Forensic and Genetic Research 2

Hak‐Min Kim

38 papers receiving 1.4k citations

Peers

Hak‐Min Kim
Comparison fields: 5 of 147
  • Equine 17
  • Cancer Research 142
  • Pollution 110
  • Genetics 239
  • Molecular Biology 570
Replace Michael S. Friedman with:
Michael S. Friedman United States
Jean‐Yves Exposito France
Claire Lethias France
David J. Simpson United Kingdom
Wei Han China
Tarsis F. Gesteira United States
Weijun Guan China
Katsu Takahashi Japan
Olga Antipova United States
Elgar Susanne Quabius Germany
Hak‐Min Kim relative to Michael S. Friedman United States Michael S. Friedman's profile →
Citations per field
00.5×1.6×
Michael S. Friedman · 1×
Citations per year

Countries citing papers authored by Hak‐Min Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hak‐Min Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002287
2 2019134
3 2002111
4 199384
5 201265
6 199565
7 201765
8 200458
9 201951
10 201347
11 201644
12 201541
13 202139
14 201834
15 199632
16 201931
17 201531
18 202030
19 201430
20 202123

About Hak‐Min Kim

Hak‐Min Kim is a scholar working on Molecular Biology, Genetics, Catalysis, Plant Science and Biomedical Engineering, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Catalytic Processes in Materials Science (3 papers), Bone Tissue Engineering Materials (3 papers), Catalysts for Methane Reforming (3 papers), CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers), Genetic diversity and population structure (2 papers) and Forensic and Genetic Research (2 papers). The work is most often cited by research in Equine (17 citations), Cancer Research (142 citations), Pollution (110 citations), Genetics (239 citations) and Molecular Biology (570 citations). Hak‐Min Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Brian J. L. Berry, Jong Bhak, Seong-Yun Kim, Kyung Mi Woo, KyuBum Kwack, Sungwon Jeon, Mei Wei, John H. Evans, Tadashi Kokubo and Yun Sung Cho. Their work appears in journals such as Scientific Reports, BMC Genomics, The World Journal of Men s Health, Archives of Oral Biology and Translational Psychiatry.

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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