Sung‐Min An

20 papers receiving 279 citations

Peers

Sung‐Min An
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 57
  • Pharmaceutical Science 44
  • Dermatology 25
  • Physiology 55
  • Immunology 44
Replace Yongyan Hu with:
Yongyan Hu China
Afolake Arowolo South Africa
Xueyi Wang China
P.M. Kićović Italy
Royana Singh India
Yuzhen Huang China
Ling Ma China
Zbyněk Šplíchal Czechia
Wu Shun Felix Wong Australia
Shawn Thomas United States
Sung‐Min An relative to Yongyan Hu China Yongyan Hu's profile →
Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Sung‐Min An

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Min An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sung‐Min 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 Sung‐Min An Line = papers co-authored together Sung‐Min An links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202361
2 201537
3 202030
4 201728
5 201726
6 201725
7 201821
8 20248
9 20218
10 20218
11 20146
12 20175
13 20195
14 20243
15 20223
16
Correlation between the fatty liver and cardiovascular disease of adult males who visited screening center in the regional health care institution
20151
17
A Survey of the Changes in the Awareness and Accessibility of and Satisfaction with Family Medicine Targeting the Busan Residents
20151
18
Control Study Evaluating the Efficacy of Wrap Therapy for National Pressure Ulcer Advisory Panel Stage II, III, and IV Pressure Ulcer
20151
19 20231
20 20241

About Sung‐Min An

Sung‐Min An is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Physiology, having authored 21 papers that have together received 280 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Reproductive System and Pregnancy (5 papers), Birth, Development, and Health (4 papers), Adipose Tissue and Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Menstrual Health and Disorders (2 papers), Skin Protection and Aging (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (57 citations), Pharmaceutical Science (44 citations), Dermatology (25 citations), Physiology (55 citations) and Immunology (44 citations). Sung‐Min An has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Beum‐Soo An, John C. Yoon, Seung‐Hee Cho, Seung Yun Yang, Keum‐Yong Seong, Seungchul Kim, Dae Youn Hwang, Kyu Sup Lee, Seung Up Kim and Wan‐Seob Cho. Their work appears in journals such as International Journal of Molecular Medicine, Toxicological Research, Biosensors and Bioelectronics, Systems Biology in Reproductive Medicine and Biomedicines.

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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