Hak‐Min Kim

3.3k total citations
41 papers, 1.3k citations indexed

About

Hak‐Min Kim is a scholar working on Molecular Biology, Genetics and Catalysis. According to data from OpenAlex, Hak‐Min Kim has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Catalysis. Recurrent topics in Hak‐Min Kim's work include Genomics and Phylogenetic Studies (9 papers), Genetic diversity and population structure (4 papers) and Catalysts for Methane Reforming (3 papers). Hak‐Min Kim is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genetic diversity and population structure (4 papers) and Catalysts for Methane Reforming (3 papers). Hak‐Min Kim collaborates with scholars based in South Korea, United States and United Kingdom. Hak‐Min Kim's co-authors include Brian J. L. Berry, Jong Bhak, Kyung Mi Woo, Seong-Yun Kim, KyuBum Kwack, Tadashi Kokubo, Mei Wei, John H. Evans, Sungwon Jeon and Yun Sung Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Hak‐Min Kim

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hak‐Min Kim South Korea 19 588 219 194 166 162 41 1.3k
Seung Tae Lee South Korea 24 839 1.4× 211 1.0× 93 0.5× 211 1.3× 71 0.4× 160 2.0k
Siyang Liu China 26 858 1.5× 273 1.2× 123 0.6× 202 1.2× 289 1.8× 160 2.4k
Michael Chiang Hong Kong 19 430 0.7× 122 0.6× 95 0.5× 394 2.4× 55 0.3× 42 1.7k
Jiamin Zhang China 21 777 1.3× 106 0.5× 134 0.7× 69 0.4× 88 0.5× 71 1.3k
Xiaodong Qi United States 23 1.6k 2.7× 80 0.4× 100 0.5× 246 1.5× 141 0.9× 58 2.6k
Jianhao Li China 27 1.3k 2.3× 93 0.4× 142 0.7× 124 0.7× 560 3.5× 101 2.2k
Jianhai Chen China 22 431 0.7× 221 1.0× 66 0.3× 202 1.2× 135 0.8× 113 1.6k
Martin Lange Germany 25 1.5k 2.6× 170 0.8× 228 1.2× 133 0.8× 121 0.7× 72 2.4k
Taro Takemura Japan 18 431 0.7× 120 0.5× 53 0.3× 255 1.5× 59 0.4× 34 1.5k
Jeanne Wilson‐Rawls United States 23 1.0k 1.7× 318 1.5× 60 0.3× 60 0.4× 101 0.6× 47 1.6k

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-authorship network of co-authors of Hak‐Min Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hak‐Min Kim. A scholar is included among the top collaborators of Hak‐Min Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hak‐Min Kim. Hak‐Min Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Song, Sang Hun, Hak‐Min Kim, Sungwon Jeon, et al.. (2023). Germline DNA-Repair Genes and HOXB13 Mutations in Korean Men with Metastatic Prostate Cancer: Data from a Large Korean Cohort. The World Journal of Men s Health. 41(4). 960–960. 4 indexed citations
3.
Song, Sang Hun, Hak‐Min Kim, Moon Soo Park, et al.. (2023). Polygenic risk score for tumor aggressiveness and early-onset prostate cancer in Asians. Scientific Reports. 13(1). 798–798. 2 indexed citations
4.
5.
Kim, Hak‐Min, et al.. (2021). Preparation of polyvinyl alcohol–chitosan– NH 4 Br catalyst and its application to cycloaddition of carbon dioxide to propylene oxide. The Canadian Journal of Chemical Engineering. 100(8). 1755–1763. 3 indexed citations
6.
Weber, Jessica A., Seung Gu Park, Victor Luria, et al.. (2020). The whale shark genome reveals how genomic and physiological properties scale with body size. Proceedings of the National Academy of Sciences. 117(34). 20662–20671. 28 indexed citations
7.
Jeon, Yeonsu, Seung Gu Park, Jessica A. Weber, et al.. (2019). The Draft Genome of an Octocoral, Dendronephthya gigantea. Genome Biology and Evolution. 11(3). 949–953. 30 indexed citations
8.
Bhak, Youngjune, Yun Sung Cho, Sungwon Jeon, et al.. (2019). Depression and suicide risk prediction models using blood-derived multi-omics data. Translational Psychiatry. 9(1). 262–262. 47 indexed citations
9.
Kong, Hyun Gi, Hyun Ho Kim, JeHoon Jun, et al.. (2019). The Galleria mellonella Hologenome Supports Microbiota-Independent Metabolism of Long-Chain Hydrocarbon Beeswax. Cell Reports. 26(9). 2451–2464.e5. 125 indexed citations
10.
Siska, Veronika, Eppie R. Jones, Sungwon Jeon, et al.. (2017). Genome-wide data from two early Neolithic East Asian individuals dating to 7700 years ago. Science Advances. 3(2). e1601877–e1601877. 62 indexed citations
11.
Bhak, Youngjune, Yeonsu Jeon, Sungwon Jeon, et al.. (2017). Myotis rufoniger genome sequence and analyses: M. rufoniger’s genomic feature and the decreasing effective population size of Myotis bats. PLoS ONE. 12(7). e0180418–e0180418. 11 indexed citations
12.
Cho, Yun Sung, Hyunho Kim, Hak‐Min Kim, et al.. (2016). An ethnically relevant consensus Korean reference genome is a step towards personal reference genomes. Nature Communications. 7(1). 13637–13637. 41 indexed citations
13.
Lee, Giuk, et al.. (2015). RhoA-JNK Regulates the E-Cadherin Junctions of Human Gingival Epithelial Cells. Journal of Dental Research. 95(3). 284–291. 31 indexed citations
14.
Ilyas, Muhammad, Jong-Soo Kim, Youngah Shin, et al.. (2015). Whole genome sequencing of an ethnic Pathan (Pakhtun) from the north-west of Pakistan. BMC Genomics. 16(1). 172–172. 14 indexed citations
15.
Lee, Yung Seng, et al.. (2014). Whole-genome analysis of a patient with early-stage small-cell lung cancer. The Pharmacogenomics Journal. 14(6). 503–508. 7 indexed citations
16.
Yoon, Kwiyeom, Sunghoon Lee, Tae‐Su Han, et al.. (2013). Comprehensive genome- and transcriptome-wide analyses of mutations associated with microsatellite instability in Korean gastric cancers. Genome Research. 23(7). 1109–1117. 45 indexed citations
17.
Jho, Sungwoong, Byoung-Chul Kim, Ho Ghang, et al.. (2009). COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System. BMC Genomics. 10(S3). S35–S35. 7 indexed citations
18.
Burstyn, Igor, Hak‐Min Kim, Yutaka Yasui, & Nicola Cherry. (2008). The virtues of a deliberately mis-specified disease model in demonstrating a gene-environment interaction. Occupational and Environmental Medicine. 66(6). 374–380. 12 indexed citations
19.
Burstyn, Igor, Hak‐Min Kim, Nicola Cherry, & Yutaka Yasui. (2005). Metamodels of bias in Cox proportional-hazards and logistic regressions with heteroscedastic measurement error under group-level exposure assessment. The Annals of Occupational Hygiene. 50(3). 271–9. 8 indexed citations
20.

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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