Youngmin Han

3.7k total citations · 1 hit paper
144 papers, 2.2k citations indexed

About

Youngmin Han is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Youngmin Han has authored 144 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Oncology, 92 papers in Surgery and 59 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Youngmin Han's work include Pancreatic and Hepatic Oncology Research (98 papers), Pancreatitis Pathology and Treatment (40 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (36 papers). Youngmin Han is often cited by papers focused on Pancreatic and Hepatic Oncology Research (98 papers), Pancreatitis Pathology and Treatment (40 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (36 papers). Youngmin Han collaborates with scholars based in South Korea, United States and Ethiopia. Youngmin Han's co-authors include Jin‐Young Jang, Wooil Kwon, Sun‐Whe Kim, Hongbeom Kim, Jae Seung Kang, Jae Ri Kim, Yoonhyeong Byun, Hongeun Lee, Joon Seong Park and Jin Seok Heo and has published in prestigious journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Acta Materialia.

In The Last Decade

Youngmin Han

127 papers receiving 2.2k citations

Hit Papers

Oncological Benefits of N... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Oncological Benefits of Neoadjuvant Chemoradiation With Gemcitabine Versus Upfront Surgery in Patients With Borderline Resectable Pancreatic Cancer
    2018 467 citations Jin‐Young Jang, Youngmin Han et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Youngmin Han 1.7k 1.3k 899 377 369 144 2.2k
Seung Ho Kim 1.3k 0.8× 948 0.8× 485 0.5× 69 0.2× 254 0.7× 97 2.4k
Go Kobayashi 1.7k 1.0× 2.1k 1.7× 1.7k 1.8× 93 0.2× 290 0.8× 191 2.7k
Fumiaki Watanabe 559 0.3× 232 0.2× 429 0.5× 252 0.7× 81 0.2× 144 1.4k
Pedro F. Escobar 305 0.2× 1.8k 1.5× 369 0.4× 174 0.5× 250 0.7× 102 3.3k
Hong Seok Jang 667 0.4× 680 0.5× 517 0.6× 158 0.4× 255 0.7× 99 1.9k
Masahiko Shibuya 525 0.3× 718 0.6× 761 0.8× 82 0.2× 198 0.5× 145 2.1k
Takashi Tamura 529 0.3× 1.3k 1.0× 631 0.7× 89 0.2× 166 0.4× 89 1.7k
Kewei Xu 215 0.1× 570 0.5× 511 0.6× 241 0.6× 41 0.1× 88 1.5k
In Gyu Hwang 1.4k 0.8× 863 0.7× 1.2k 1.3× 198 0.5× 146 0.4× 130 2.6k
Takayoshi Tsuchiya 3.0k 1.7× 3.9k 3.1× 3.4k 3.7× 210 0.6× 293 0.8× 239 5.1k

Countries citing papers authored by Youngmin Han

Since Specialization
Citations

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

Fields of papers citing papers by Youngmin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngmin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Youngmin Han. A scholar is included among the top collaborators of Youngmin 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 Youngmin Han. Youngmin 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
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Han, Youngmin, Wooil Kwon, Carlos Fernández-del Castillo, et al.. (2024). Optimal Surveillance Interval of Branch Duct Intraductal Papillary Mucinous Neoplasm of the Pancreas. JAMA Surgery. 159(4). 389–389. 16 indexed citations
3.
Han, Youngmin, et al.. (2024). Re‐evaluation of risk and oncological outcomes of resection of veins and arteries in the resection of pancreatic cancer. Journal of Hepato-Biliary-Pancreatic Sciences. 31(9). 671–679. 1 indexed citations
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Han, Youngmin, et al.. (2024). Training efficacy of robotic duct-to-mucosa pancreaticojejunostomy simulation using silicone models for surgical fellows. Annals of Surgical Treatment and Research. 106(1). 45–45. 1 indexed citations
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Han, Youngmin, et al.. (2023). Efficacy of local treatment for isolated liver metastasis after pancreatectomy in pancreatic ductal adenocarcinoma: A propensity score‐matched analysis. Journal of Hepato-Biliary-Pancreatic Sciences. 31(1). 50–60. 2 indexed citations
8.
Kim, Hyeong Seok, Youngmin Han, Jae Seung Kang, et al.. (2023). Role of neoadjuvant treatment in resectable pancreatic cancer according to vessel invasion and increase of CA19‐9 levels. Journal of Hepato-Biliary-Pancreatic Sciences. 30(7). 924–934. 8 indexed citations
9.
Kwon, Wooil, Youngmin Han, Hyeong Seok Kim, et al.. (2022). Can Surgical Resection of Metastatic Lesions Be Beneficial to Pancreatic Ductal Adenocarcinoma Patients with Isolated Lung Metastasis?. Cancers. 14(9). 2067–2067. 10 indexed citations
10.
Kim, Hongbeom, Jae Ri Kim, Jae Seung Kang, et al.. (2022). Predicting prognosis and evaluating the benefits of adjuvant chemotherapy depending on the tumor location in intrahepatic cholangiocarcinoma: focusing on the involvement of below 2nd bile duct confluence. Annals of Surgical Treatment and Research. 102(5). 248–248. 3 indexed citations
11.
Kim, Hongbeom, Hyeong Seok Kim, Youngmin Han, et al.. (2022). Risk factors deteriorating severe exocrine pancreatic insufficiency measured by stool elastase after pancreatoduodenectomy and the risk factors for weight loss. Annals of Surgical Treatment and Research. 102(1). 20–20. 2 indexed citations
12.
Kim, Hongbeom, Dohyun Han, Yoseop Kim, et al.. (2021). A Clinically Applicable 24-Protein Model for Classifying Risk Subgroups in Pancreatic Ductal Adenocarcinomas using Multiple Reaction Monitoring-Mass Spectrometry. Clinical Cancer Research. 27(12). 3370–3382. 12 indexed citations
13.
Byun, Yoonhyeong, Kyoung Bun Lee, Jin‐Young Jang, et al.. (2021). Peritumoral lymph nodes in pancreatic cancer revisited; is it truly equivalent to lymph node metastasis?. Journal of Hepato-Biliary-Pancreatic Sciences. 28(10). 893–901. 5 indexed citations
14.
Oh, Moon Young, Hongbeom Kim, Yoo Jin Choi, et al.. (2021). Conversion surgery for initially unresectable extrahepatic biliary tract cancer. Annals of Hepato-Biliary-Pancreatic Surgery. 25(3). 349–357. 9 indexed citations
15.
Byun, Yoonhyeong, Yoo Jin Choi, Youngmin Han, et al.. (2021). Outcomes of 5000 pancreatectomies in Korean single referral center and literature reviews. Journal of Hepato-Biliary-Pancreatic Sciences. 29(12). 1327–1335. 6 indexed citations
16.
Kim, Dong‐Hyun, Youngmin Han, Phuong Tran, et al.. (2021). Local drug delivery using poly(lactic-co-glycolic acid) nanoparticles in thermosensitive gels for inner ear disease treatment. Drug Delivery. 28(1). 2268–2277. 25 indexed citations
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Oh, Moon Young, Eun Joo Kim, Hongbeom Kim, et al.. (2021). Changes in postoperative long-term nutritional status and quality of life after total pancreatectomy. Annals of Surgical Treatment and Research. 100(4). 200–200. 5 indexed citations
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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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