Min Sung An

900 citations
42 papers · 705 · h-index 12

Impact in

Papers in

Min Sung An

38 papers receiving 689 citations

Peers

Min Sung An
Comparison fields: 5 of 71
  • Reproductive Medicine 217
  • Hepatology 197
  • Obstetrics and Gynecology 151
  • Immunology 176
  • Oncology 155
Replace George Vlahos with:
George Vlahos Greece
Pietro Del Medico Italy
Stacy Nerenstone United States
Giorgio Maria Verdecchia Italy
María Jesús Rubio Spain
Yan You China
A. B. Lopez Denmark
Chaoqun Huang China
Huiyan Zhu China
Ulrich Canzler Germany
Min Sung An relative to George Vlahos Greece George Vlahos's profile →
Citations per field
00.5×6.4×
George Vlahos · 1×
Citations per year

Countries citing papers authored by Min Sung An

Since Specialization
Citations

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

Fields of papers citing papers by Min Sung An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Sung An. 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 Min Sung An. The network helps show where Min Sung An may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Sung An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Sung An Line = papers co-authored together Min Sung An links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008199
2 2017133
3 201656
4 201640
5 201834
6 201723
7 201523
8 201223
9 201321
10 201514
11 200712
12 201612
13 201210
14 20209
15
[Diagnostic accuracy of 18F-FDG positron emission tomography for evaluation of hepatocellular carcinoma].
20069
16
[The adverse effect of indirectly diagnosed portal hypertension on the complications and prognosis after hepatic resection of hepatocellular carcinoma].
20069
17 20148
18 20158
19 20157
20 20137

About Min Sung An

Min Sung An is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Immunology and Reproductive Medicine, having authored 42 papers that have together received 705 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (16 papers), Colorectal Cancer Surgical Treatments (13 papers), Colorectal and Anal Carcinomas (10 papers), Endometriosis Research and Treatment (5 papers), Reproductive System and Pregnancy (5 papers), Metastasis and carcinoma case studies (5 papers), Gastrointestinal Tumor Research and Treatment (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Reproductive Medicine (217 citations), Hepatology (197 citations), Obstetrics and Gynecology (151 citations), Immunology (176 citations) and Oncology (155 citations). Min Sung An has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Ming Yuan, Guoyun Wang, Joong‐Won Park, Dong Li, Woo Jin Lee, Zhe Zhang, Huihui Sun, Chang‐Min Kim, Byung‐Ho Nam and Ju Hyun Shim. Their work appears in journals such as ANZ Journal of Surgery, International Journal of Surgery, Human Reproduction, Drug Delivery and Translational Research and International Journal of Biological Macromolecules.

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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