Ki Won Moon

787 citations
41 papers · 505 indexed · h-index 12

Impact in

  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Gout, Hyperuricemia, Uric Acid 14
    • Rheumatoid Arthritis Research and Therapies 6
    • Urticaria and Related Conditions 4
    • Spondyloarthritis Studies and Treatments 4

Ki Won Moon

37 papers receiving 483 citations

Peers

Ki Won Moon
Comparison fields: 5 of 90
  • Nephrology 75
  • Rheumatology 114
  • Pharmacology 62
  • Dermatology 46
  • Pathology and Forensic Medicine 85
Replace J A Pain with:
J A Pain United Kingdom
M.H. Lee Australia
Bartosz Foroncewicz Poland
Guillermo Tate United States
Kazuhiko Hora Japan
Hüseyin Ataseven Türkiye
S. Seber Türkiye
R Yasumoto Japan
Suda Vannaprasaht Thailand
Marshall Sack United States
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Citations per field
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Citations per year

Countries citing papers authored by Ki Won Moon

Since Specialization
Citations

This map shows the geographic impact of Ki Won Moon'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 Moon 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 Moon more than expected).

Fields of papers citing papers by Ki Won Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20241
4 20231
5 20231
6 20231
7 20230
8 202310
9 20214
10 202112
11 202011
12 202017
13 201810
14 20183
15 20188
16 201330
17 20118
18 201121
19 201120
20 200924

About Ki Won Moon

Ki Won Moon is a scholar working on Nephrology, Rheumatology, Dermatology, Hepatology and Orthopedics and Sports Medicine, having authored 41 papers that have together received 505 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (14 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Systemic Sclerosis and Related Diseases (6 papers), Case Reports on Hematomas (5 papers), Urticaria and Related Conditions (4 papers), Spondyloarthritis Studies and Treatments (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Nephrology (75 citations), Rheumatology (114 citations), Pharmacology (62 citations), Dermatology (46 citations) and Pathology and Forensic Medicine (85 citations). Ki Won Moon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Su‐Jung Shin, Heechul Jung, In‐Jin Jang, Joo‐Youn Cho, Jin‐Tae Kim, Jae‐Yong Chung, Eun Bong Lee, K YU, Dal‐Seok Oh and Kyoung Soo Lim. Their work appears in journals such as Journal of Korean Medical Science, Scientific Reports, Journal of Clinical Medicine, Annals of the Rheumatic Diseases and Lara D. Veeken.

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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