Ki-Won Oh

2.9k citations
129 papers · 2.2k indexed · h-index 27

Impact in

Papers in

Ki-Won Oh

120 papers receiving 2.1k citations

Peers

Ki-Won Oh
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 689
  • Epidemiology 692
  • Cardiology and Cardiovascular Medicine 395
  • Nephrology 95
  • Geriatrics and Gerontology 52
Replace Yu Hu with:
Yu Hu China
Mingfeng Xia China
Jae‐Han Jeon South Korea
Chiara Macchi Italy
Joseph W. Beals United States
Chunxiao Yu China
Zhen Yang China
Jun Sung Moon South Korea
Yang Song China
Kuppan Gokulakrishnan India
Ki-Won Oh relative to Yu Hu China Yu Hu's profile →
Citations per field
00.5×2.9×
Yu Hu · 1×
Citations per year

Countries citing papers authored by Ki-Won Oh

Since Specialization
Citations

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

Fields of papers citing papers by Ki-Won Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki-Won Oh. 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 Ki-Won Oh. The network helps show where Ki-Won Oh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 201694
3 201085
4 200976
5 200571
6 201370
7 200869
8 200665
9 201060
10 201559
11 201447
12 201446
13 201445
14 201945
15 200943
16 201539
17 200636
18 201734
19 202032
20 200832

About Ki-Won Oh

Ki-Won Oh is a scholar working on Endocrinology, Diabetes and Metabolism, Plant Science, Endocrine and Autonomic Systems, Biochemistry and Orthopedics and Sports Medicine, having authored 129 papers that have together received 2.2k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Peanut Plant Research Studies (10 papers), Agriculture, Soil, Plant Science (10 papers), Natural Products and Biological Research (9 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (689 citations), Epidemiology (692 citations), Cardiology and Cardiovascular Medicine (395 citations), Nephrology (95 citations) and Geriatrics and Gerontology (52 citations). Ki-Won Oh has collaborated with scholars based in South Korea, United Kingdom and Ghana. Frequent co-authors include Won‐Young Lee, Eun‐Jung Rhee, Cheol‐Young Park, Se Eun Park, Sung‐Woo Park, Sun-Woo Kim, Seok‐Woo Hong, Jinmi Lee, Chan‐Hee Jung and Heung‐Woo Park. Their work appears in journals such as Diabetes Research and Clinical Practice, PLoS ONE, Metabolism, Atherosclerosis and Cell Stress and Chaperones.

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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