Ki Won Moon

787 total citations
41 papers, 505 citations indexed

About

Ki Won Moon is a scholar working on Rheumatology, Nephrology and Surgery. According to data from OpenAlex, Ki Won Moon has authored 41 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Rheumatology, 14 papers in Nephrology and 9 papers in Surgery. Recurrent topics in Ki Won Moon's work include Gout, Hyperuricemia, Uric Acid (14 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Systemic Sclerosis and Related Diseases (6 papers). Ki Won Moon is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (14 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Systemic Sclerosis and Related Diseases (6 papers). Ki Won Moon collaborates with scholars based in South Korea, United States and Ethiopia. Ki Won Moon's 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 and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

Ki Won Moon

37 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ki Won Moon South Korea 12 114 114 111 104 85 41 505
Suda Vannaprasaht Thailand 13 64 0.6× 252 2.2× 56 0.5× 66 0.6× 203 2.4× 36 853
M.H. Lee Australia 8 135 1.2× 189 1.7× 32 0.3× 148 1.4× 104 1.2× 13 566
Bartosz Foroncewicz Poland 14 111 1.0× 83 0.7× 159 1.4× 129 1.2× 81 1.0× 69 717
Krzysztof Mucha Poland 15 122 1.1× 94 0.8× 157 1.4× 141 1.4× 73 0.9× 78 784
Tao Su China 17 75 0.7× 82 0.7× 74 0.7× 80 0.8× 55 0.6× 63 779
Guillermo Tate United States 12 118 1.0× 120 1.1× 38 0.3× 110 1.1× 29 0.3× 17 539
Marshall Sack United States 11 88 0.8× 153 1.3× 39 0.4× 42 0.4× 16 0.2× 12 517
Kuo-Hsien Wang Taiwan 10 125 1.1× 529 4.6× 52 0.5× 135 1.3× 340 4.0× 18 1.3k
Manuela Berger United States 16 62 0.5× 128 1.1× 78 0.7× 244 2.3× 42 0.5× 24 857
Kazuhiko Hora Japan 16 257 2.3× 59 0.5× 59 0.5× 57 0.5× 63 0.7× 36 791

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 of co-authors of Ki Won Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Ki Won Moon. A scholar is included among the top collaborators of Ki Won Moon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ki Won Moon. Ki Won Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Hyunjung, et al.. (2024). Effects of Genetic Risk and Lifestyle Habits on Gout: A Korean Cohort Study. Journal of Korean Medical Science. 40(2). e1–e1.
2.
Moon, Ki Won, Sang‐Hyuk Jung, Chang‐Nam Son, et al.. (2024). Cardiovascular risk according to genetic predisposition to gout, lifestyle and metabolic health across prospective European and Korean cohorts. RMD Open. 10(4). e004552–e004552. 1 indexed citations
3.
Choi, Hyo Jin, Chang‐Nam Son, Sang-Hyon Kim, et al.. (2024). High vegetable consumption and regular exercise are associated with better quality of life in patients with gout. The Korean Journal of Internal Medicine. 39(5). 845–854. 1 indexed citations
4.
Her, Young, et al.. (2023). Unmet Needs of Patients With Chronic Urticaria: A Survey in Korea. Allergy Asthma and Immunology Research. 15(6). 837–837. 1 indexed citations
5.
Lee, Jennifer, et al.. (2023). Reliability and Validity of the Korean Version of the Gout Impact Scale. Journal of Korean Medical Science. 38(35). e266–e266. 1 indexed citations
6.
Moon, Ki Won. (2023). POS0521 MORTALITY RATE OF GOUT PATIENTS HAS BEEN INCREASED IN KOREA. Annals of the Rheumatic Diseases. 82. 523–524. 1 indexed citations
7.
Choi, Hyo Jin, Chang‐Nam Son, Sang-Hyon Kim, et al.. (2023). Factors for achieving target serum uric acid levels after initiating urate-lowering therapy in patients with gout: results from the ULTRA registry. Scientific Reports. 13(1). 20511–20511.
8.
Shin, Seunghun, et al.. (2023). Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning. Scientific Reports. 13(1). 21800–21800. 10 indexed citations
9.
Moon, Ki Won, Yoon‐Kyoung Sung, Jong Jin Yoo, et al.. (2021). Quality Indicators for Evaluating the Health Care of Patients with Rheumatoid Arthritis: a Korean Expert Consensus. Journal of Korean Medical Science. 36(17). e109–e109. 4 indexed citations
10.
Moon, Ki Won, et al.. (2021). Presence of tophi is associated with a rapid decline in the renal function in patients with gout. Scientific Reports. 11(1). 5684–5684. 12 indexed citations
11.
Choi, Hyo Jin, Ki Won Moon, Hyun Ok Kim, et al.. (2020). Seasonal Variations and Associated Factors of Gout Attacks: a Prospective Multicenter Study in Korea. Journal of Korean Medical Science. 35(20). e133–e133. 11 indexed citations
12.
Lee, Yun Jong, Eunyoung Lee, Bumhee Park, et al.. (2020). Cancer risk in Korean patients with gout. The Korean Journal of Internal Medicine. 37(2). 460–467. 17 indexed citations
13.
Heo, Jeongwon, Yoonki Hong, Seon‐Sook Han, et al.. (2018). Changes in the Characteristics and Long-term Mortality Rates of Intensive Care Unit Patients from 2003 to 2010: A Nationwide Population-Based Cohort Study Performed in the Republic of Korea. Acute and Critical Care. 33(3). 135–145. 10 indexed citations
14.
Yang, Hee Kyung, Ki Won Moon, Min Ji, Sang Beom Han, & Jeong‐Min Hwang. (2018). Primary antiphospholipid syndrome presenting with homonymous quadrantanopsia. American Journal of Ophthalmology Case Reports. 10. 208–210. 3 indexed citations
15.
Lee, Chang‐Min, Jeongwon Heo, Seon‐Sook Han, et al.. (2018). Inhaled Corticosteroid-Related Tuberculosis in the Real World Among Patients with Asthma and COPD: A 10-Year Nationwide Population-Based Study. The Journal of Allergy and Clinical Immunology In Practice. 7(4). 1197–1206.e3. 8 indexed citations
16.
Shin, Kichul, et al.. (2013). The Efficacy of Diacerein in Hand Osteoarthritis: A Double-Blind, Randomized, Placebo-Controlled Study. Clinical Therapeutics. 35(4). 431–439. 30 indexed citations
17.
Moon, Ki Won, Shin‐Seok Lee, Jinhyun Kim, et al.. (2011). Cross-cultural adaptation, validation, and responsiveness of the Korean version of the AUSCAN Osteoarthritis Index. Rheumatology International. 32(11). 3551–3557. 8 indexed citations
18.
Moon, Ki Won, et al.. (2011). Risk factors for acute kidney injury by non-steroidal anti-inflammatory drugs in patients with hyperuricaemia. Lara D. Veeken. 50(12). 2278–2282. 21 indexed citations
19.
Moon, Ki Won, Ran Song, Jinhyun Kim, et al.. (2011). The correlation between durometer score and modified Rodnan skin score in systemic sclerosis. Rheumatology International. 32(8). 2465–2470. 20 indexed citations
20.
Kim, Jinhyun, Sue K. Park, Ki Won Moon, et al.. (2009). The prognostic factors of systemic sclerosis for survival among Koreans. Clinical Rheumatology. 29(3). 297–302. 24 indexed citations

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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