Jongmin Han

2.0k total citations
98 papers, 1.6k citations indexed

About

Jongmin Han is a scholar working on Mathematical Physics, Applied Mathematics and Nuclear and High Energy Physics. According to data from OpenAlex, Jongmin Han has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mathematical Physics, 27 papers in Applied Mathematics and 21 papers in Nuclear and High Energy Physics. Recurrent topics in Jongmin Han's work include Advanced Mathematical Physics Problems (33 papers), Nonlinear Partial Differential Equations (22 papers) and Black Holes and Theoretical Physics (21 papers). Jongmin Han is often cited by papers focused on Advanced Mathematical Physics Problems (33 papers), Nonlinear Partial Differential Equations (22 papers) and Black Holes and Theoretical Physics (21 papers). Jongmin Han collaborates with scholars based in South Korea, China and United States. Jongmin Han's co-authors include Tae‐Sook Jeong, Hyeong-Geug Kim, Jin‐Seok Lee, Chang‐Gue Son, Chang‐Gue Son, Min‐Kyung Choi, Woo Song Lee, Ki Hun Park, Ho-Yong Park and Hyungjin Huh and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Jongmin Han

93 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongmin Han South Korea 24 486 229 221 203 188 98 1.6k
Nikolay Tzvetkov Bulgaria 37 1.5k 3.1× 357 1.6× 1.5k 7.0× 157 0.8× 796 4.2× 164 4.8k
Alain Piriou France 19 303 0.6× 175 0.8× 45 0.2× 74 0.4× 35 0.2× 74 1.3k
Timothy W. Randolph United States 27 885 1.8× 348 1.5× 48 0.2× 44 0.2× 119 0.6× 81 1.8k
Namkwon Kim South Korea 17 385 0.8× 278 1.2× 28 0.1× 71 0.3× 32 0.2× 38 867
Daniela Giachetti Italy 17 134 0.3× 45 0.2× 315 1.4× 66 0.3× 565 3.0× 76 1.3k
Hidekazu Ito Japan 16 257 0.5× 55 0.2× 38 0.2× 191 0.9× 15 0.1× 58 1.5k
Shu Zhu Japan 27 1.2k 2.4× 45 0.2× 62 0.3× 410 2.0× 10 0.1× 80 1.9k
Hiroaki Yoshimura Japan 24 438 0.9× 108 0.5× 53 0.2× 365 1.8× 35 0.2× 152 1.8k
Chi‐Yu He China 14 610 1.3× 95 0.4× 12 0.1× 417 2.1× 27 0.1× 15 1.2k
Areejit Samal India 21 857 1.8× 33 0.1× 9 0.0× 112 0.6× 17 0.1× 82 1.7k

Countries citing papers authored by Jongmin Han

Since Specialization
Citations

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

Fields of papers citing papers by Jongmin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongmin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jongmin Han. A scholar is included among the top collaborators of Jongmin 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 Jongmin Han. Jongmin 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.
Han, Jongmin, et al.. (2023). Topological multi-vortex solutions of the Maxwell–Chern–Simons–Higgs model with a background metric. Nonlinear Analysis. 235. 113345–113345. 1 indexed citations
2.
Han, Jongmin, et al.. (2021). On semilocal klein-gordon-maxwell equations. Journal of the Korean Mathematical Society. 58(5). 1131–1145.
3.
Ha, Taeyoung, et al.. (2021). Turing instability and dynamic phase transition for the Brusselator model with multiple critical eigenvalues. Discrete and Continuous Dynamical Systems. 41(9). 4255–4281. 5 indexed citations
4.
Han, Jongmin, et al.. (2018). Bubbling string solutions for the self-dual Einstein–Maxwell–Higgs equation. Journal of Mathematical Analysis and Applications. 471(1-2). 728–751. 1 indexed citations
5.
Li, Hua, Ji–Hyun Kang, Jongmin Han, et al.. (2015). Anti-Obesity Effects of Soy Leaf via Regulation of Adipogenic Transcription Factors and Fat Oxidation in Diet-Induced Obese Mice and 3T3-L1 Adipocytes. Journal of Medicinal Food. 18(8). 899–908. 35 indexed citations
6.
Lee, Jin‐Seok, et al.. (2015). Hippocampal memory enhancing activity of pine needle extract against scopolamine-induced amnesia in a mouse model. Scientific Reports. 5(1). 9651–9651. 90 indexed citations
7.
Lee, Jin‐Seok, Hyeong-Geug Kim, Jongmin Han, Young‐Ae Kim, & Chang‐Gue Son. (2015). Anti-fatigue effect of Myelophil in a chronic forced exercise mouse model. European Journal of Pharmacology. 764. 100–108. 35 indexed citations
8.
Kim, Hyeong-Geug, Jongmin Han, Jin‐Seok Lee, Jong Suk Lee, & Chang‐Gue Son. (2015). Ethyl acetate fraction of Amomum xanthioides improves bile duct ligation-induced liver fibrosis of rat model via modulation of pro-fibrogenic cytokines. Scientific Reports. 5(1). 14531–14531. 22 indexed citations
9.
Lee, Jin‐Seok, Hyeong-Geug Kim, Jongmin Han, et al.. (2014). Ethanol extract of Astragali Radix and Salviae Miltiorrhizae Radix, Myelophil, exerts anti-amnesic effect in a mouse model of scopolamine-induced memory deficits. Journal of Ethnopharmacology. 153(3). 782–792. 41 indexed citations
10.
Kim, Hyeong-Geug, Jin‐Seok Lee, Min‐Kyung Choi, Jongmin Han, & Chang‐Gue Son. (2014). Ethanolic Extract of Astragali Radix and Salviae Radix Prohibits Oxidative Brain Injury by Psycho-Emotional Stress in Whisker Removal Rat Model. PLoS ONE. 9(5). e98329–e98329. 17 indexed citations
11.
Kim, Jung Min, Hyeong-Geug Kim, Jongmin Han, et al.. (2013). The herbal formula CGX ameliorates the expression of vascular endothelial growth factor in alcoholic liver fibrosis. Journal of Ethnopharmacology. 150(3). 892–900. 6 indexed citations
12.
Han, Jongmin, et al.. (2013). Uniqueness and solution structure of nonlinear equations arising from the Chern–Simons gauged O(3) sigma models. Journal of Differential Equations. 255(8). 2136–2166. 19 indexed citations
13.
Han, Jongmin, et al.. (2010). Existence and asymptotics of topological solutions in the self-dual Maxwell–Chern–SimonsO(3)sigma model. Journal of Differential Equations. 250(1). 204–222. 16 indexed citations
14.
An, Sojin, Minjung Kim, Jongmin Han, et al.. (2010). Ethanolic Extracts of Brassica campestris spp. rapa Roots Prevent High-Fat Diet-Induced Obesity via β 3 -Adrenergic Regulation of White Adipocyte Lipolytic Activity. Journal of Medicinal Food. 13(2). 406–414. 29 indexed citations
15.
16.
Han, Jongmin. (2009). Quantization effects for Maxwell–Chern–Simons vortices. Journal of Mathematical Analysis and Applications. 363(1). 265–274. 2 indexed citations
17.
Han, Jongmin, Min-Jung Kim, Seung‐Hwa Baek, et al.. (2009). Antiatherosclerotic Effects of Artemisia princeps Pampanini cv. Sajabal in LDL Receptor Deficient Mice. Journal of Agricultural and Food Chemistry. 57(4). 1267–1274. 23 indexed citations
18.
Han, Jongmin, et al.. (2008). On the Chern–Simons limit for a Maxwell–Chern–Simons model on bounded domains. Journal of Mathematical Analysis and Applications. 350(1). 1–8. 7 indexed citations
19.
Han, Jongmin & Namkwon Kim. (2007). Asymptotics of Maxwell–Chern–Simons vortices on the unit disc. Asymptotic Analysis. 52(3-4). 207–225. 2 indexed citations
20.
Sont, Jacob K., Peter Sterk, Pieter S. Hiemstra, et al.. (1997). Chronic obstructive pulmonary disease: role of bronchiolar mast cells and macrophages.. PubMed. 151(6). 1785–90. 128 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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