Seunghoon Han

1.0k total citations
76 papers, 752 citations indexed

About

Seunghoon Han is a scholar working on Oncology, Hematology and Infectious Diseases. According to data from OpenAlex, Seunghoon Han has authored 76 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 13 papers in Hematology and 11 papers in Infectious Diseases. Recurrent topics in Seunghoon Han's work include Statistical Methods in Clinical Trials (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Seunghoon Han is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Seunghoon Han collaborates with scholars based in South Korea, United States and Canada. Seunghoon Han's co-authors include Dong‐Seok Yim, Jong-Tae Lee, Wan‐Su Park, Sun Hee Park, Jung‐Hyun Choi, Dong‐Gun Lee, Myung-Sik Choi, Sang‐Hyun Kim, Su‐Mi Choi and Ik-Sang Kim and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Seunghoon Han

72 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghoon Han South Korea 14 229 157 131 130 85 76 752
Afiat Berbudi Indonesia 12 317 1.4× 249 1.6× 213 1.6× 42 0.3× 138 1.6× 50 1.3k
Li‐Wen Chang China 16 178 0.8× 169 1.1× 137 1.0× 116 0.9× 35 0.4× 90 940
Gérard Praz Switzerland 11 193 0.8× 232 1.5× 255 1.9× 72 0.6× 78 0.9× 23 759
Hongwei Zhang China 24 191 0.8× 300 1.9× 383 2.9× 116 0.9× 53 0.6× 116 1.7k
Jiming Yin China 17 381 1.7× 313 2.0× 244 1.9× 89 0.7× 14 0.2× 42 1.2k
Cong Chen China 15 488 2.1× 134 0.9× 135 1.0× 53 0.4× 214 2.5× 54 1.1k
Krzysztof Rutkowski United Kingdom 17 138 0.6× 36 0.2× 79 0.6× 247 1.9× 99 1.2× 50 883
Stephen W. Martin United States 18 191 0.8× 130 0.8× 451 3.4× 56 0.4× 77 0.9× 35 1.4k
L.A. Turnberg United Kingdom 17 81 0.4× 134 0.9× 228 1.7× 108 0.8× 166 2.0× 33 1.3k

Countries citing papers authored by Seunghoon Han

Since Specialization
Citations

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

Fields of papers citing papers by Seunghoon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghoon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghoon Han. A scholar is included among the top collaborators of Seunghoon 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 Seunghoon Han. Seunghoon 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.
Byun, Ja Min, Sung‐Soo Park, Seung Pil Jung, et al.. (2024). Efficacy and Safety of Bispecific T-Cell Engagers in Relapsed/Refractory Multiple Myeloma: A Real-World Data-Based Case-Controlled Study. Transplantation and Cellular Therapy. 31(2). 74.e1–74.e11. 1 indexed citations
2.
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Bae, Soo Hyeon, et al.. (2023). Combined translational pharmacometrics approach to support the design and conduct of the first‐in‐human study of DWP16001. British Journal of Clinical Pharmacology. 90(1). 286–298. 4 indexed citations
4.
Wang, Sheng‐Min, Sung‐Soo Park, Dong Woo Kang, et al.. (2021). Pre-transplant Dementia is Associated with Poor Survival After Hematopoietic Stem Cell Transplantation: A Nationwide Cohort Study with Propensity Score Matched Control. Clinical Psychopharmacology and Neuroscience. 19(2). 294–302. 4 indexed citations
5.
Wang, Sheng‐Min, Dong Woo Kang, Yoo Hyun Um, et al.. (2021). Association between Dementia and Clinical Outcome after COVID-19: A Nationwide Cohort Study with Propensity Score Matched Control in South Korea. Psychiatry Investigation. 18(6). 523–529. 7 indexed citations
6.
Wang, Sheng‐Min, Sung‐Soo Park, Dong Woo Kang, et al.. (2020). Pre-transplant depression decreased overall survival of patients receiving allogeneic hematopoietic stem cell transplantation: a nationwide cohort study. Scientific Reports. 10(1). 15265–15265. 13 indexed citations
7.
Cho, Sang‐Heon, Seunghoon Han, Jong‐Lyul Ghim, et al.. (2019). A Randomized, Double-Blind Trial Comparing the Pharmacokinetics of CT-P16, a Candidate Bevacizumab Biosimilar, with its Reference Product in Healthy Adult Males. BioDrugs. 33(2). 173–181. 13 indexed citations
8.
Han, Sungpil, Seunghoon Han, Ki‐Suk Kim, Hyang‐Ae Lee, & Dong‐Seok Yim. (2019). Usefulness of Bnet, a Simple Linear Metric in Discerning Torsades De Pointes Risks in 28 CiPA Drugs. Frontiers in Pharmacology. 10. 1419–1419. 7 indexed citations
9.
Bae, Soo Hyeon, et al.. (2018). Physiologically-based pharmacokinetic predictions of intestinal BCRP-mediated drug interactions of rosuvastatin in Koreans. Korean Journal of Physiology and Pharmacology. 22(3). 321–321. 6 indexed citations
10.
Han, Seunghoon, Gun Hyung Na, & Dong-Goo Kim. (2017). A 6-month mixed-effect pharmacokinetic model for post-transplant intravenous anti-hepatitis B immunoglobulin prophylaxis. Drug Design Development and Therapy. Volume 11. 2099–2107. 1 indexed citations
11.
12.
Park, Wan‐Su, Seunghoon Han, Yong‐Chul Kim, et al.. (2017). Human microdosing and mice xenograft data of AGM-130 applied to estimate efficacious doses in patients. Cancer Chemotherapy and Pharmacology. 80(2). 363–369. 4 indexed citations
13.
Park, Wan‐Su, et al.. (2016). Comparative Pharmacokinetic Analysis of Thiamine and Its Phosphorylated Metabolites Administered as Multivitamin Preparations. Clinical Therapeutics. 38(10). 2277–2285. 9 indexed citations
14.
Han, Seunghoon, et al.. (2016). Comparison of oral absorption models for pregabalin: usefulness of transit compartment model. Drug Design Development and Therapy. Volume 10. 3995–4003. 3 indexed citations
15.
Yim, Dong‐Seok, Seunghoon Han, Jong-Tae Lee, et al.. (2015). Pharmacokinetic-pharmacodynamic analysis to evaluate the effect of moxifloxacin on QT interval prolongation in healthy Korean male subjects. Drug Design Development and Therapy. 9. 1233–1233. 11 indexed citations
16.
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Hwang, Yang‐Ha, Wonku Kang, Sook Jin Seong, et al.. (2011). Population Pharmacokinetic/Pharmacodynamic Modeling of Clopidogrel in Korean Healthy Volunteers and Stroke Patients. The Journal of Clinical Pharmacology. 52(7). 985–995. 10 indexed citations
18.
Kim, Si‐Hyun, Dong‐Seok Yim, Su‐Mi Choi, et al.. (2011). Voriconazole-related severe adverse events: clinical application of therapeutic drug monitoring in Korean patients. International Journal of Infectious Diseases. 15(11). e753–e758. 58 indexed citations
19.
Gaya, Daniel R., T.D.B. Lyon, Andrew Duncan, et al.. (2005). Faecal calprotectin in the assessment of Crohn's disease activity. QJM. 98(6). 435–441. 62 indexed citations
20.
Han, Seunghoon. (2002). Effect of GABA on GnRH Neurons Switches from Depolarization to Hyperpolarization at Puberty in the Female Mouse. Endocrinology. 143(4). 1459–1466. 42 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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