Dongjin Han

736 total citations
43 papers, 560 citations indexed

About

Dongjin Han is a scholar working on Surgery, Computer Vision and Pattern Recognition and Transplantation. According to data from OpenAlex, Dongjin Han has authored 43 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Transplantation. Recurrent topics in Dongjin Han's work include Renal Transplantation Outcomes and Treatments (7 papers), Pancreatic function and diabetes (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Dongjin Han is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Pancreatic function and diabetes (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Dongjin Han collaborates with scholars based in South Korea, United States and China. Dongjin Han's co-authors include David B. Cooper, Y.H. Kim, Je Hyeong Kim, J S Lee, Jia-Lin Lee, Changhoon Yoo, Dong Wan Seo, Jenn-Jiang Hwang, Sung‐Cheol Kim and MH Kim and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Radiology.

In The Last Decade

Dongjin Han

38 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongjin Han South Korea 13 176 160 122 114 92 43 560
Jae Do Yang South Korea 11 85 0.5× 177 1.1× 69 0.6× 67 0.6× 57 0.6× 58 445
Ryota Souzaki Japan 17 116 0.7× 408 2.5× 59 0.5× 130 1.1× 25 0.3× 47 729
Henrik Brun Norway 12 18 0.1× 246 1.5× 116 1.0× 155 1.4× 29 0.3× 46 550
Naciye Sinem Gezer Türkiye 14 49 0.3× 151 0.9× 47 0.4× 147 1.3× 179 1.9× 53 664
Florian Ulmer Germany 15 149 0.8× 394 2.5× 34 0.3× 94 0.8× 19 0.2× 41 641
Jin Wook Yi South Korea 19 126 0.7× 493 3.1× 25 0.2× 100 0.9× 42 0.5× 75 890
Gongyu Zhang United Kingdom 9 84 0.5× 144 0.9× 22 0.2× 92 0.8× 175 1.9× 21 560
Jason Cai United States 9 56 0.3× 179 1.1× 55 0.5× 78 0.7× 219 2.4× 21 576

Countries citing papers authored by Dongjin Han

Since Specialization
Citations

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

Fields of papers citing papers by Dongjin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dongjin Han. A scholar is included among the top collaborators of Dongjin 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 Dongjin Han. Dongjin 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.
Lee, Sang‐Soo, Dongjin Han, & Kee K. Kim. (2025). Gallic Acid Improves Muscular Function Through Enhanced Myoblast Myogenesis in Mice. Food Science & Nutrition. 13(7). e70667–e70667.
2.
Han, Dongjin, Sunmin Kim, Seo‐Young Lee, et al.. (2024). Evolutionary dependency of cancer mutations in gene pairs inferred by nonsynonymous-synonymous mutation ratios. Genome Medicine. 16(1). 103–103. 1 indexed citations
3.
Han, Dongjin, et al.. (2024). Cellular abundance-based prognostic model associated with deregulated gene expression of leukemic stem cells in acute myeloid leukemia. Frontiers in Cell and Developmental Biology. 12. 1345660–1345660. 1 indexed citations
4.
Kim, Eunji, Dongjin Han, Byoung Hyuck Kim, et al.. (2023). Whole-Genome Sequencing Reveals Mutational Signatures Related to Radiation-Induced Sarcomas and DNA-Damage-Repair Pathways. Modern Pathology. 36(1). 100004–100004. 6 indexed citations
5.
Hou, Hong, Hailong Wang, Paramsothy Jeyakumar, et al.. (2022). Comparison of Pb and Cd in wheat grains under air-soil-wheat system near lead-zinc smelters and total suspended particulate introduced modeling attempt. The Science of The Total Environment. 839. 156290–156290. 13 indexed citations
6.
Gwon, Jun Gyo, Y.H. Kim, & Dongjin Han. (2017). Real Renal Function After Renal Autotransplantation Through the Analysis of Solitary Kidney Autotransplantation Cases. Transplantation Proceedings. 49(9). 2055–2059. 5 indexed citations
7.
Choi, Jung Yoon, et al.. (2016). Pancreas Transplantation From Living Donors: A Single Center Experience of 20 Cases. American Journal of Transplantation. 16(8). 2413–2420. 10 indexed citations
8.
Jang, Yeonggul, et al.. (2016). Generation of Triangular Mesh of Coronary Artery Using Mesh Merging. Journal of KIISE. 43(4). 419–429.
9.
Stahl, John M., et al.. (2016). The effect of microscopic margin status on survival in adult retroperitoneal soft tissue sarcomas. European Journal of Surgical Oncology. 43(1). 168–174. 45 indexed citations
10.
Han, Dongjin & Hyun-Hee Kim. (2015). Optical System Design of Compact Head-Up Display(HUD) using Micro Display. Journal of the Korea Academia-Industrial cooperation Society. 16(9). 6227–6235.
11.
Han, Dongjin, et al.. (2014). A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. Computer Methods and Programs in Biomedicine. 117(2). 179–188. 13 indexed citations
12.
Kim, Y.H., et al.. (2012). Adult Dual Kidney Transplantations Obtained From Marginal Donors: Two Case Reports. Transplantation Proceedings. 44(1). 57–59. 2 indexed citations
13.
Yoo, Changhoon, Jenn-Jiang Hwang, Je Hyeong Kim, et al.. (2009). A randomised phase II study of modified FOLFIRI.3 vs modified FOLFOX as second-line therapy in patients with gemcitabine-refractory advanced pancreatic cancer. British Journal of Cancer. 101(10). 1658–1663. 136 indexed citations
14.
Kim, S.C., et al.. (2008). Experimental Microencapsulation of Porcine and Rat Pancreatic Islet Cells With Air-Driven Droplet Generator and Alginate. Transplantation Proceedings. 40(8). 2578–2580. 9 indexed citations
15.
Kim, S.C., et al.. (2008). Improved Islet Yields After Purification Following the Novel Endogenous Trypsin Inhibitor and Histidine-Tryptophan-Ketoglutarate Treatment in Pigs. Transplantation Proceedings. 40(8). 2585–2587. 1 indexed citations
16.
Kim, S.C., et al.. (2005). Analysis on Donor and Isolation-Related Factors of Successful Isolation of Human Islet of Langerhans From Human Cadaveric Donors. Transplantation Proceedings. 37(8). 3402–3403. 25 indexed citations
17.
Kim, S.C., et al.. (2004). Experimental islet isolation in porcine pancreas with new enzyme Liberase PI. Transplantation Proceedings. 36(7). 2197–2199. 3 indexed citations
18.
Kim, S.C., et al.. (2004). Cytomegalovirus infection of the graft duodenum and urinary bladder after simultaneous pancreas–kidney transplantation. Transplantation Proceedings. 36(7). 2200–2202. 4 indexed citations
19.
20.
Stock, P, et al.. (1989). Frequency of precursor cytotoxic T lymphocytes correlates with outcome following heart-lung and pancreatic islet transplantation.. PubMed. 21(1 Pt 1). 457–60. 3 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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