Ki-Won Oh

2.9k citations
130 papers · 2.3k · h-index 28

Impact in

Papers in

Ki-Won Oh

120 papers receiving 2.2k citations

Peers

Ki-Won Oh
Comparison fields: 5 of 110
  • Endocrinology, Diabetes and Metabolism 479
  • Epidemiology 528
  • Geriatrics and Gerontology 46
  • Nephrology 80
  • Cardiology and Cardiovascular Medicine 222
Replace Jae‐Han Jeon with:
Jae‐Han Jeon South Korea
Chunxiao Yu China
Chiara Macchi Italy
Yoshitaka Kumon Japan
Yu Hu China
Yusuke Nakatsu Japan
Óscar Pérez‐Méndez Mexico
Gloria Formoso Italy
Guanliang Chen Japan
Ki-Won Oh relative to Jae‐Han Jeon South Korea Jae‐Han Jeon's profile →
Citations per field
00.5×2.8×
Jae‐Han Jeon · 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 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 201697
3 201085
4 200976
5 200572
6 201372
7 200869
8 200666
9 201560
10 201060
11 201947
12 201447
13 201447
14 201446
15 200944
16 201540
17 200637
18 201736
19 202034
20 202132

About Ki-Won Oh

Ki-Won Oh is a scholar working on Plant Science, Molecular Biology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 130 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (16 papers), Natural Products and Biological Research (10 papers), Peanut Plant Research Studies (10 papers), Agriculture, Soil, Plant Science (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Coconut Research and Applications (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Epidemiology (528 citations), Geriatrics and Gerontology (46 citations), Nephrology (80 citations) and Cardiology and Cardiovascular Medicine (222 citations). Ki-Won Oh has collaborated with scholars based in South Korea, United States 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 PLoS ONE, Diabetes Research and Clinical Practice, Metabolism, International Journal of Cardiology and Archives of Medical Research.

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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