Se Hee Min

1.3k citations
45 papers · 748 · h-index 16

Impact in

Papers in

Se Hee Min

40 papers receiving 730 citations

Peers

Se Hee Min
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 256
  • Geriatrics and Gerontology 16
  • Endocrine and Autonomic Systems 26
  • Aging 7
  • Cell Biology 63
Replace Tepmanas Bupha‐Intr with:
Tepmanas Bupha‐Intr Thailand
Roberto Towns United States
Helena C.L. Barbosa Brazil
Gerard C. van der Zon Netherlands
Helena A. Jones Sweden
Nengguang Fan China
José M. Irimia United States
Jakob G. Knudsen Denmark
Manuel Blandino-Rosano United States
Chie Ebato Japan
Se Hee Min relative to Tepmanas Bupha‐Intr Thailand Tepmanas Bupha‐Intr's profile →
Citations per field
00.5×
Tepmanas Bupha‐Intr · 1×
Citations per year

Countries citing papers authored by Se Hee Min

Since Specialization
Citations

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

Fields of papers citing papers by Se Hee Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201775
2 201965
3 201662
4 202043
5 201741
6 201837
7 202137
8 201229
9 201728
10 201726
11 201926
12 201622
13 201622
14 201819
15 202318
16 201517
17 201615
18 201714
19 201712
20 202012

About Se Hee Min

Se Hee Min is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Physiology and Epidemiology, having authored 45 papers that have together received 748 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (256 citations), Geriatrics and Gerontology (16 citations), Endocrine and Autonomic Systems (26 citations), Aging (7 citations) and Cell Biology (63 citations). Se Hee Min has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Young Min Cho, Seokyung Hahn, Jeong‐Hwa Yoon, Kyong Soo Park, Tae Jung Oh, Soo Lim, Chang Ho Ahn, Min‐Seon Kim, Hak Chul Jang and Sung Hee Choi. Their work appears in journals such as Nature Communications, Diabetes & Metabolism Journal, Scientific Reports, Journal of Endocrinology and Diabetes & Metabolism.

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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