Sungpil Han

1.1k total citations
26 papers, 822 citations indexed

About

Sungpil Han is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Sungpil Han has authored 26 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Surgery. Recurrent topics in Sungpil Han's work include Gastroesophageal reflux and treatments (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Immune Cell Function and Interaction (3 papers). Sungpil Han is often cited by papers focused on Gastroesophageal reflux and treatments (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Immune Cell Function and Interaction (3 papers). Sungpil Han collaborates with scholars based in South Korea, United States and China. Sungpil Han's co-authors include Bibiana Bielekova, Justin S. A. Perry, Simone C. Wuest, Casandra M. Cartagena, Eiji Matsuura, Dragan Maric, Jehad H. Edwan, Thomas A. Waldmann, Kyun‐Seop Bae and Quangang Xu and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sungpil Han

23 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungpil Han South Korea 11 362 159 154 150 142 26 822
Juan Qian China 21 304 0.8× 193 1.2× 28 0.2× 344 2.3× 183 1.3× 33 1.0k
Margaret R. Dunne Ireland 18 604 1.7× 163 1.0× 57 0.4× 158 1.1× 353 2.5× 54 1.1k
Nathan Gluck Israel 15 166 0.5× 174 1.1× 80 0.5× 192 1.3× 169 1.2× 40 705
Martin Mollenhauer Germany 17 294 0.8× 201 1.3× 43 0.3× 321 2.1× 163 1.1× 43 997
Makoto Kubo Japan 15 74 0.2× 236 1.5× 83 0.5× 453 3.0× 192 1.4× 55 1.0k
Takahiro Nakajima Japan 20 272 0.8× 472 3.0× 69 0.4× 273 1.8× 402 2.8× 51 993
Jiancong Hu China 14 100 0.3× 178 1.1× 45 0.3× 312 2.1× 222 1.6× 55 730
Muqing Yang China 17 246 0.7× 135 0.8× 43 0.3× 435 2.9× 138 1.0× 41 855
Junaid Ansari United States 13 142 0.4× 47 0.3× 45 0.3× 336 2.2× 91 0.6× 27 697
Gaurav Kumar United States 16 266 0.7× 77 0.5× 169 1.1× 223 1.5× 136 1.0× 48 790

Countries citing papers authored by Sungpil Han

Since Specialization
Citations

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

Fields of papers citing papers by Sungpil Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungpil Han

This figure shows the co-authorship network connecting the top 25 collaborators of Sungpil Han. A scholar is included among the top collaborators of Sungpil 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 Sungpil Han. Sungpil 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.
Jeon, Hyo‐Jin, Jung-Hee Kim, Dong Young Kim, et al.. (2025). Therapeutic application of induced artificial platelet like particle (i-aPLPTM) for osteoarthritis. Osteoarthritis and Cartilage. 33. S463–S463.
2.
Lee, Jung-Hyun, et al.. (2025). Integrating a Microphysiological System and Physiologically Based Pharmacokinetic Modeling to Predict Human Responses to Diclofenac. BioChip Journal. 19(2). 350–366. 3 indexed citations
3.
Ramanathan, Murali, et al.. (2025). Leveraging large language models in pharmacometrics: evaluation of NONMEM output interpretation and simulation capabilities. Journal of Pharmacokinetics and Pharmacodynamics. 52(3). 34–34. 1 indexed citations
4.
5.
6.
Han, Seunghoon, et al.. (2022). Establishing Rationale for the Clinical Development of Cell Therapy Products: Consensus between Risk and Benefit. International Journal of Stem Cells. 16(1). 16–26. 3 indexed citations
7.
Han, Sungpil, Hee Youn Choi, Yo Han Kim, et al.. (2022). Comparison of Pharmacodynamics between Tegoprazan and Dexlansoprazole Regarding Nocturnal Acid Breakthrough: A Randomized Crossover Study. Gut and Liver. 17(1). 92–99. 22 indexed citations
8.
Han, Sungpil, Hee Youn Choi, Yo Han Kim, et al.. (2021). Effect of Food on the Pharmacokinetics and Pharmacodynamics of a Single Oral Dose of Tegoprazan. Clinical Therapeutics. 43(8). 1371–1380. 20 indexed citations
9.
Han, Sungpil, et al.. (2021). An experience on the model-based evaluation of pharmacokinetic drug-drug interaction for a long half-life drug. Korean Journal of Physiology and Pharmacology. 25(6). 545–553.
10.
Han, Sungpil, Yo Han Kim, Hee Youn Choi, et al.. (2020). <p>First-in-Human Evaluation of the Safety, Tolerability, and Pharmacokinetics of a Neuroprotective Poly (ADP‐ribose) Polymerase‐1 Inhibitor, JPI-289, in Healthy Volunteers</p>. Drug Design Development and Therapy. Volume 14. 3189–3199. 6 indexed citations
11.
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
12.
Han, Sungpil, et al.. (2019). Pharmacokinetic and Pharmacodynamic Modeling and Simulation Analysis of CTB-001, a Recently Developed Generic of Bivalirudin. Pharmaceutical Research. 36(10). 146–146. 3 indexed citations
13.
Cho, Yong‐Soon, Hyeong‐Seok Lim, Sungpil Han, et al.. (2018). Single-dose Intravenous Safety, Tolerability, and Pharmacokinetics and Absolute Bioavailability of LCB01-0371. Clinical Therapeutics. 41(1). 92–106. 10 indexed citations
14.
Kim, Hyungsub, et al.. (2018). Development of R packages: ‘NonCompart’ and ‘ncar’ for noncompartmental analysis (NCA). Translational and Clinical Pharmacology. 26(1). 10–10. 17 indexed citations
15.
Han, Sungpil, et al.. (2017). Caffsim: simulation of plasma caffeine concentrations implemented as an R package and Web-applications. Translational and Clinical Pharmacology. 25(3). 141–141. 2 indexed citations
16.
Perry, Justin S. A., Sungpil Han, Quangang Xu, et al.. (2012). Inhibition of LTi Cell Development by CD25 Blockade Is Associated with Decreased Intrathecal Inflammation in Multiple Sclerosis. Science Translational Medicine. 4(145). 145ra106–145ra106. 125 indexed citations
17.
Han, Sungpil, Ji Hoon Kim, Myoung‐Eun Han, et al.. (2011). SNAI1 is Involved in the Proliferation and Migration of Glioblastoma Cells. Cellular and Molecular Neurobiology. 31(3). 489–496. 92 indexed citations
18.
Wuest, Simone C., Jehad H. Edwan, Sungpil Han, et al.. (2011). A role for interleukin-2 trans-presentation in dendritic cell–mediated T cell activation in humans, as revealed by daclizumab therapy. Nature Medicine. 17(5). 604–609. 217 indexed citations
19.
Woo, Henry H., Jun Hur, Haejun Yim, et al.. (2010). Population pharmacokinetics of meropenem in burn patients. Journal of Antimicrobial Chemotherapy. 65(11). 2428–2435. 47 indexed citations
20.
Han, Sungpil, Seunghyun Bang, T.W. Kim, et al.. (2009). Investigation of papulopustular eruptions caused by cetuximab treatment shows altered differentiation markers and increases in inflammatory cytokines. British Journal of Dermatology. 162(2). 371–379. 19 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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