Se Eun Park

4.4k citations
128 papers · 3.3k · h-index 32

Impact in

Papers in

Se Eun Park

125 papers receiving 3.3k citations

Peers

Se Eun Park
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Geriatrics and Gerontology 157
  • Epidemiology 1.3k
  • Cardiology and Cardiovascular Medicine 617
  • Physiology 692
Replace Kyu Yeon Hur with:
Kyu Yeon Hur South Korea
Hilla Knobler Israel
Woo Je Lee South Korea
Xuefeng Yu China
An Verrijken Belgium
Linda Morrow United States
Sae Jeong Yang South Korea
Muhei Tanaka Japan
Karim Gariani Switzerland
Yoshimasa Aso Japan
Se Eun Park relative to Kyu Yeon Hur South Korea Kyu Yeon Hur's profile →
Citations per field
00.5×1.5×1.8×
Kyu Yeon Hur · 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 2015143
2 2012143
3 2012136
4 2011124
5 2013105
6 2010102
7 201694
8 201377
9 201172
10 201370
11 201169
12 201364
13 201559
14 201757
15 201455
16 201654
17 201447
18 201446
19 201345
20 201445

About Se Eun Park

Se Eun Park is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 128 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Metabolism, Diabetes, and Cancer (16 papers), Cardiovascular Function and Risk Factors (14 papers), Diet, Metabolism, and Disease (13 papers), Diabetes Treatment and Management (12 papers), Pancreatic function and diabetes (10 papers) and Cardiovascular Disease and Adiposity (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Geriatrics and Gerontology (157 citations), Epidemiology (1.3k citations), Cardiology and Cardiovascular Medicine (617 citations) and Physiology (692 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, Metabolism and Clinical Endocrinology.

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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