Se Eun Park

4.5k citations
128 papers · 3.4k · h-index 32

Impact in

Papers in

Se Eun Park

127 papers receiving 3.4k citations

Peers

Se Eun Park
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 990
  • Geriatrics and Gerontology 142
  • Epidemiology 1.0k
  • Physiology 497
  • Cardiology and Cardiovascular Medicine 352
Replace Ki Won Oh with:
Ki Won Oh South Korea
An Verrijken Belgium
Eun Hee Koh South Korea
Else Marit Løberg Norway
Yoshimasa Aso Japan
Hyun Jin Kim South Korea
Hisashi Adachi Japan
Hilla Knobler Israel
Juan Zheng China
Thongchai Pratipanawatr Thailand
Se Eun Park relative to Ki Won Oh South Korea Ki Won Oh's profile →
Citations per field
00.5×8.8×
Ki Won Oh · 1×
Citations per year

Countries citing papers authored by Se Eun Park

Since Specialization
Citations

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

Fields of papers citing papers by Se Eun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015146
2 2012144
3 2012135
4 2011124
5 2013106
6 2010104
7 201697
8 201377
9 201172
10 201372
11 201170
12 201365
13 201760
14 201560
15 201657
16 201456
17 201947
18 201447
19 201447
20 201446

About Se Eun Park

Se Eun Park is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Surgery, having authored 128 papers that have together received 3.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes Treatment and Management (6 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (5 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (990 citations), Geriatrics and Gerontology (142 citations), Epidemiology (1.0k citations), Physiology (497 citations) and Cardiology and Cardiovascular Medicine (352 citations). Se Eun Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Cheol‐Young Park, Won‐Young Lee, Eun‐Jung Rhee, Ki Won Oh, Ki-Won Oh, Hyemi Kwon, Ji Cheol Bae, Sung‐Woo Park, Jinmi Lee and Seok‐Woo Hong. Their work appears in journals such as PLoS ONE, Diabetes & Metabolism Journal, Diabetes Research and Clinical Practice, Clinical Endocrinology and Atherosclerosis.

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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