Seonggyun Han

1.9k total citations
40 papers, 1.4k citations indexed

About

Seonggyun Han is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Seonggyun Han has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Seonggyun Han's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and RNA Research and Splicing (9 papers). Seonggyun Han is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and RNA Research and Splicing (9 papers). Seonggyun Han collaborates with scholars based in United States, South Korea and Puerto Rico. Seonggyun Han's co-authors include Sang–Hyoun Kim, Hyoung Chul Shin, Dong‐Hyun Kim, Younghee Lee, Wonhee Suh, Malavosklish Bikram, David A. Bull, Kwangsik Nho, Dokyoon Kim and Hong‐Sun Yook and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Seonggyun Han

40 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seonggyun Han United States 14 694 597 476 230 161 40 1.4k
Ke Teng China 20 191 0.3× 380 0.6× 78 0.2× 42 0.2× 83 0.5× 52 1.2k
Suphi Ş. Öncel Türkiye 22 123 0.2× 625 1.0× 363 0.8× 34 0.1× 80 0.5× 52 1.6k
Fuyu Yang China 16 250 0.4× 376 0.6× 239 0.5× 64 0.3× 25 0.2× 55 982
Huijun Ma China 17 278 0.4× 210 0.4× 132 0.3× 174 0.8× 53 0.3× 49 848
Gregor Drago Zupančić Slovenia 19 487 0.7× 197 0.3× 292 0.6× 205 0.9× 56 0.3× 45 1.1k
Jacob J. Lamb Norway 20 282 0.4× 213 0.4× 298 0.6× 68 0.3× 125 0.8× 68 1.7k
Merve Şahin United States 12 79 0.1× 385 0.6× 192 0.4× 61 0.3× 303 1.9× 18 861
Shu‐Guang Jin South Korea 20 230 0.3× 388 0.6× 497 1.0× 66 0.3× 24 0.1× 34 1.3k
Min Zhu China 18 97 0.1× 463 0.8× 83 0.2× 108 0.5× 18 0.1× 52 1.1k

Countries citing papers authored by Seonggyun Han

Since Specialization
Citations

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

Fields of papers citing papers by Seonggyun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seonggyun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Seonggyun Han. A scholar is included among the top collaborators of Seonggyun Han 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 Seonggyun Han. Seonggyun Han 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.
Coon, Hilary, Andrey A. Shabalin, Emily DiBlasi, et al.. (2025). Absence of nonfatal suicidal behavior preceding suicide death reveals differences in clinical risks. Psychiatry Research. 347. 116391–116391. 1 indexed citations
2.
3.
Song, Jihyun, Seonggyun Han, Ricardo Amaru, et al.. (2025). Alternatively spliced NFKB1 transcripts enriched in Andean Aymara modulate inflammation, HIF and hemoglobin. Nature Communications. 16(1). 1766–1766. 3 indexed citations
4.
Han, Seonggyun, Chia‐Lin Chang, Yung‐Li Wang, et al.. (2025). A Narrative Review on Advancing Pediatric Oral Health: Comprehensive Strategies for the Prevention and Management of Dental Challenges in Children. Children. 12(3). 286–286. 7 indexed citations
5.
DiBlasi, Emily, Erin A. Kaufman, Sally Webster, et al.. (2024). Phenome-wide diagnostic comparison among suicide deaths and living individuals with chronic pain diagnoses. BMC Medicine. 22(1). 568–568. 1 indexed citations
6.
Han, Seonggyun, Emily DiBlasi, Eric T. Monson, et al.. (2023). Whole-genome sequencing analysis of suicide deaths integrating brain-regulatory eQTLs data to identify risk loci and genes. Molecular Psychiatry. 28(9). 3909–3919. 5 indexed citations
7.
Moutinho, Miguel, Andy P. Tsai, Gonzalo Viana Di Prisco, et al.. (2023). TREM2 splice isoforms generate soluble TREM2 species that disrupt long-term potentiation. Genome Medicine. 15(1). 11–11. 21 indexed citations
8.
Han, Seonggyun, et al.. (2021). ADAS-viewer: web-based application for integrative analysis of multi-omics data in Alzheimer’s disease. npj Systems Biology and Applications. 7(1). 18–18. 10 indexed citations
9.
Shivakumar, Manu, Seonggyun Han, Younghee Lee, & Dokyoon Kim. (2021). Epigenetic interplay between methylation and miRNA in bladder cancer: focus on isoform expression. BMC Genomics. 22(S3). 754–754. 6 indexed citations
10.
Han, Seonggyun, Kwangsik Nho, & Younghee Lee. (2020). Alternative Splicing Regulation of an Alzheimer’s Risk Variant in CLU. International Journal of Molecular Sciences. 21(19). 7079–7079. 14 indexed citations
11.
Jin, Young‐Joo, Seonggyun Han, John Chamberlin, et al.. (2019). Differential alternative splicing regulation among hepatocellular carcinoma with different risk factors. BMC Medical Genomics. 12(S8). 175–175. 13 indexed citations
12.
Han, Seonggyun, Jason E. Miller, Shannon L. Risacher, et al.. (2019). Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus. PMC. 1 indexed citations
13.
Han, Seonggyun, Jason E. Miller, Dokyoon Kim, et al.. (2019). Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus. BMC Medical Genomics. 12(S1). 13–13. 18 indexed citations
14.
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
15.
Han, Seonggyun, Dongwook Kim, Dongwook Kim, et al.. (2018). The effects of alternative splicing on miRNA binding sites in bladder cancer. PLoS ONE. 13(1). e0190708–e0190708. 17 indexed citations
16.
Miller, Jason E., Manu Shivakumar, Younghee Lee, et al.. (2018). Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer’s disease. BMC Medical Genomics. 11(S3). 76–76. 10 indexed citations
17.
Han, Seonggyun, Dongwook Kim, Young-Jun Kim, et al.. (2018). CAS-viewer: web-based tool for splicing-guided integrative analysis of multi-omics cancer data. BMC Medical Genomics. 11(S2). 25–25. 9 indexed citations
18.
Shenoy, Sudha K., Seonggyun Han, Yangbing Zhao, et al.. (2011). β-arrestin1 mediates metastatic growth of breast cancer cells by facilitating HIF-1-dependent VEGF expression. Oncogene. 31(3). 282–292. 60 indexed citations
19.
Yook, Hong‐Sun, et al.. (2004). Determination of volatile N-nitrosamines in irradiated fermented sausage by gas chromatography coupled to a thermal energy analyzer. Journal of Chromatography A. 1054(1-2). 403–407. 63 indexed citations
20.
Han, Seonggyun, et al.. (2002). Enhancement of the point defect pinning effect in Mo-doped Bi2212 single crystals of reduced anisotropy. Superconductor Science and Technology. 15(12). 1725–1727. 10 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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