Dokyoon Kim

3.7k total citations · 1 hit paper
111 papers, 1.9k citations indexed

About

Dokyoon Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dokyoon Kim has authored 111 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 37 papers in Genetics and 17 papers in Cancer Research. Recurrent topics in Dokyoon Kim's work include Bioinformatics and Genomic Networks (36 papers), Genetic Associations and Epidemiology (28 papers) and Gene expression and cancer classification (14 papers). Dokyoon Kim is often cited by papers focused on Bioinformatics and Genomic Networks (36 papers), Genetic Associations and Epidemiology (28 papers) and Gene expression and cancer classification (14 papers). Dokyoon Kim collaborates with scholars based in United States, South Korea and Ethiopia. Dokyoon Kim's co-authors include Marylyn D. Ritchie, Ruowang Li, Sarah A. Pendergrass, Emily Holzinger, Manu Shivakumar, Hyunjung Shin, Kyung-Ah Sohn, Ju Han Kim, Kwangsik Nho and Garam Lee and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Dokyoon Kim

102 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Methods of integrating data to uncover genotype–phenotype interactions

2015 672 citations Dokyoon Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dokyoon Kim United States	22	1.1k	365	281	251	153	111	1.9k
Dexter Hadley United States	21	1.2k 1.1×	1.2k 3.2×	291 1.0×	292 1.2×	278 1.8×	56	2.8k
Wilson Wen Bin Goh Singapore	23	1.2k 1.1×	142 0.4×	172 0.6×	181 0.7×	111 0.7×	102	2.2k
Jason M. Laramie United States	18	737 0.6×	164 0.4×	170 0.6×	136 0.5×	93 0.6×	34	2.3k
Amitabh Sharma United States	22	1.9k 1.7×	300 0.8×	185 0.7×	170 0.7×	41 0.3×	38	3.0k
Rong Chen United States	21	840 0.7×	510 1.4×	257 0.9×	130 0.5×	24 0.2×	57	1.8k
Zhi Huang China	20	1.0k 0.9×	93 0.3×	346 1.2×	421 1.7×	314 2.1×	89	2.1k
Gang Feng China	20	1.3k 1.1×	303 0.8×	230 0.8×	239 1.0×	21 0.1×	45	2.0k
Yi Shi China	29	1.3k 1.2×	126 0.3×	383 1.4×	96 0.4×	114 0.7×	136	2.8k
Kaiyan Feng China	30	2.2k 1.9×	101 0.3×	201 0.7×	189 0.8×	93 0.6×	120	2.8k
Michael Rebhan Germany	12	2.9k 2.5×	756 2.1×	351 1.2×	110 0.4×	52 0.3×	21	3.8k

Countries citing papers authored by Dokyoon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dokyoon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dokyoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dokyoon Kim. A scholar is included among the top collaborators of Dokyoon 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 Dokyoon Kim. Dokyoon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Dokyoon, et al.. (2025). Addressing biomedical data challenges and opportunities to inform a large-scale data lifecycle for enhanced data sharing, interoperability, analysis, and collaboration across stakeholders. Scientific Reports. 15(1). 6291–6291. 3 indexed citations

Lee, Joonyub, Sang‐Hyuk Jung, Hong‐Hee Won, et al.. (2025). The Impact of Obesity on the Association between Parity and Risk of Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal. 49(4). 837–847.

Nam, Kisung, et al.. (2025). Scalable and accurate rare variant meta-analysis with Meta-SAIGE. Nature Genetics. 57(12). 3185–3192.

Jung, Sang‐Hyuk, Manu Shivakumar, Jaeyoung Kim, et al.. (2025). Healthy lifestyle reduces cardiovascular risk in women with genetic predisposition to hypertensive disorders of pregnancy. Nature Communications. 16(1). 1463–1463. 2 indexed citations

Verma, Anurag, et al.. (2024). Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Bioinformatics. 40(3). 2 indexed citations

Kim, Do Yoon, Chang Hyung Hong, Sang Joon Son, et al.. (2024). Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. Computers in Biology and Medicine. 183. 109303–109303. 1 indexed citations

Lee, Seung Mi, et al.. (2024). Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. IEEE Journal of Biomedical and Health Informatics. 28(10). 5718–5728. 1 indexed citations

Kim, Jaesik, Sang‐Hyuk Jung, Erica Suh, et al.. (2024). Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine. PubMed. 7(1). 225–250. 29 indexed citations

Moon, Ki Won, Sang‐Hyuk Jung, Chang‐Nam Son, et al.. (2024). Cardiovascular risk according to genetic predisposition to gout, lifestyle and metabolic health across prospective European and Korean cohorts. RMD Open. 10(4). e004552–e004552. 1 indexed citations

10.

Lee, Su Nam, Jae‐Seung Yun, Seung‐Hyun Ko, et al.. (2023). Impacts of gender and lifestyle on the association between depressive symptoms and cardiovascular disease risk in the UK Biobank. Scientific Reports. 13(1). 10758–10758. 9 indexed citations

11.

Jung, Young Mi, Manu Shivakumar, Chan‐Wook Park, et al.. (2023). Future risk of metabolic syndrome after recurrent pregnancy loss: a cohort study using UK Biobank. Fertility and Sterility. 120(6). 1227–1233. 3 indexed citations

12.

Kim, Jaesik, Dokyoon Kim, & Kyung-Ah Sohn. (2021). HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball. Bioinformatics. 37(18). 2971–2980. 9 indexed citations

13.

Choe, Eun Kyung, et al.. (2021). Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. Bioinformatics. 37(16). 2405–2413. 7 indexed citations

14.

Shivakumar, Manu, et al.. (2021). Genetic Analysis Reveals Rare Variants in T-Cell Response Gene MR1 Associated with Poor Overall Survival after Urothelial Cancer Diagnosis. Cancers. 13(8). 1864–1864. 1 indexed citations

15.

Lee, Garam, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, & Dokyoon Kim. (2019). Predicting Alzheimer's disease progression using multi-modal deep learning approach. UCL Discovery (University College London). 30 indexed citations

16.

Kim, Dongwook, Manu Shivakumar, Seonggyun Han, et al.. (2018). Population-dependent Intron Retention and DNA Methylation in Breast Cancer. Molecular Cancer Research. 16(3). 461–469. 25 indexed citations

17.

Miller, Jason E., Manu Shivakumar, Shannon L. Risacher, et al.. (2018). Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. IUScholarWorks (Indiana University). 1 indexed citations

18.

Han, Seonggyun, Dongwook Kim, Manu Shivakumar, et al.. (2018). The effects of alternative splicing on miRNA binding sites in bladder cancer. PLoS ONE. 13(1). e0190708–e0190708. 17 indexed citations

19.

Joung, Je‐Gun, et al.. (2013). Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer. Journal of the American Medical Informatics Association. 20(4). 637–642. 7 indexed citations

20.

Kim, Dokyoon, et al.. (2005). Theoretical approximate formulae for the crossing time through a fitness barrier in the quasi-species model. Journal of the Korean Physical Society. 46(1). 1228–1236. 2 indexed citations

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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