Ki Won Oh

3.7k citations
76 papers · 2.9k · h-index 31

Impact in

Papers in

    • Bone Metabolism and Diseases 14
    • Peroxisome Proliferator-Activated Receptors 7
    • Adipokines, Inflammation, and Metabolic Diseases 7
    • Liver Disease Diagnosis and Treatment 7

Ki Won Oh

73 papers receiving 2.9k citations

Peers

Ki Won Oh
Comparison fields: 5 of 115
  • Orthopedics and Sports Medicine 396
  • Geriatrics and Gerontology 100
  • Endocrinology, Diabetes and Metabolism 474
  • Epidemiology 689
  • Pathology and Forensic Medicine 336
Replace Sung-Kil Lim with:
Sung-Kil Lim South Korea
Moo Il Kang South Korea
Kejiang Cao China
Se Eun Park South Korea
Ki Hyun Baek South Korea
K. C. B. Tan Hong Kong
Eun Hee Kim South Korea
Sung Kil Lim South Korea
Yiming Mu China
Agostino Gaudio Italy
Ki Won Oh relative to Sung-Kil Lim South Korea Sung-Kil Lim's profile →
Citations per field
00.5×4.8×
Sung-Kil Lim · 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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010271
2 2005156
3 2012144
4 2011134
5 2011124
6 2010106
7 2013106
8 2010104
9 200587
10 201377
11 201172
12 201170
13 200265
14 201365
15 200864
16 200660
17 200559
18 200457
19 201456
20 201255

About Ki Won Oh

Ki Won Oh is a scholar working on Molecular Biology, Epidemiology, Oncology, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (14 papers), Bone health and treatments (12 papers), Bone health and osteoporosis research (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Bone and Joint Diseases (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (396 citations), Geriatrics and Gerontology (100 citations), Endocrinology, Diabetes and Metabolism (474 citations), Epidemiology (689 citations) and Pathology and Forensic Medicine (336 citations). Ki Won Oh has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Won‐Young Lee, Eun‐Jung Rhee, Cheol‐Young Park, Moo Il Kang, Ki Hyun Baek, Se Eun Park, Sun Woo Kim, Mee Kyoung Kim, Ji Cheol Bae and Sung Woo Park. Their work appears in journals such as Clinical Endocrinology, PLoS ONE, Journal of Korean Medical Science, The Journal of Clinical Endocrinology & Metabolism 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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