Seong‐Kyu Kim

3.7k total citations
140 papers, 2.5k citations indexed

About

Seong‐Kyu Kim is a scholar working on Rheumatology, Molecular Biology and Nephrology. According to data from OpenAlex, Seong‐Kyu Kim has authored 140 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Rheumatology, 32 papers in Molecular Biology and 31 papers in Nephrology. Recurrent topics in Seong‐Kyu Kim's work include Rheumatoid Arthritis Research and Therapies (33 papers), Systemic Lupus Erythematosus Research (31 papers) and Gout, Hyperuricemia, Uric Acid (30 papers). Seong‐Kyu Kim is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (33 papers), Systemic Lupus Erythematosus Research (31 papers) and Gout, Hyperuricemia, Uric Acid (30 papers). Seong‐Kyu Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Seong‐Kyu Kim's co-authors include Jung‐Yoon Choe, Sung‐Hoon Park, Ki-Yeun Park, Hwajeong Lee, JW Kim, Sang Gyu Kwak, Jisuk Bae, Shin‐Seok Lee, Sang‐Cheol Bae and Geon Ho Lee and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Pain.

In The Last Decade

Seong‐Kyu Kim

136 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong‐Kyu Kim South Korea 29 960 651 497 384 268 140 2.5k
Jozef Rovenský Slovakia 28 1.4k 1.5× 499 0.8× 279 0.6× 631 1.6× 422 1.6× 181 3.1k
Chad Deal United States 27 919 1.0× 1.2k 1.8× 164 0.3× 194 0.5× 371 1.4× 62 3.9k
A. Elisabeth Hak Netherlands 24 545 0.6× 548 0.8× 590 1.2× 334 0.9× 499 1.9× 42 4.1k
Richard Keen United Kingdom 31 746 0.8× 673 1.0× 288 0.6× 226 0.6× 564 2.1× 92 2.8k
Maria Teresa Garcı́a-Unzueta Spain 33 438 0.5× 524 0.8× 173 0.3× 229 0.6× 381 1.4× 143 3.0k
W. Woloszczuk Austria 32 380 0.4× 1.0k 1.6× 561 1.1× 287 0.7× 324 1.2× 156 3.7k
Armin Distler Germany 27 1.5k 1.6× 691 1.1× 215 0.4× 826 2.2× 120 0.4× 86 3.8k
Michael Yaron Israel 28 809 0.8× 390 0.6× 100 0.2× 396 1.0× 155 0.6× 61 2.3k
Hyoun‐Ah Kim South Korea 31 1.4k 1.5× 638 1.0× 135 0.3× 1.3k 3.3× 279 1.0× 178 3.1k
Clément Prati France 28 1.3k 1.4× 326 0.5× 81 0.2× 569 1.5× 133 0.5× 172 2.4k

Countries citing papers authored by Seong‐Kyu Kim

Since Specialization
Citations

This map shows the geographic impact of Seong‐Kyu Kim'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 Seong‐Kyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong‐Kyu Kim more than expected).

Fields of papers citing papers by Seong‐Kyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Kyu Kim. 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 Seong‐Kyu Kim. The network helps show where Seong‐Kyu Kim may publish in the future.

Co-authorship network of co-authors of Seong‐Kyu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Kyu Kim. A scholar is included among the top collaborators of Seong‐Kyu Kim 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 Seong‐Kyu Kim. Seong‐Kyu Kim 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
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Kim, Seong‐Kyu, Jung‐Yoon Choe, & Ki-Yeun Park. (2023). CXCL12 and CXCR4 as Novel Biomarkers in Uric Acid-Induced Inflammation and Patients with Gouty Arthritis. Biomedicines. 11(3). 649–649. 6 indexed citations
3.
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Kim, Seong‐Kyu. (2022). The Mechanism of the NLRP3 Inflammasome Activation and Pathogenic Implication in the Pathogenesis of Gout. Journal of Rheumatic Diseases. 29(3). 140–153. 51 indexed citations
5.
Kim, Seong‐Kyu, et al.. (2021). The beneficial effect of baricitinib on ultrasound-detected synovial inflammation and bone damage in rheumatoid arthritis. Medicine. 100(30). e26739–e26739. 4 indexed citations
6.
Lee, Kyung‐Ann, et al.. (2020). A Real-World Experience of Mycophenolate Mofetil for Systemic Sclerosis: A Retrospective Multicenter Observational Study. Archives of Rheumatology. 35(3). 366–375. 3 indexed citations
7.
Kim, Ji Na, Sang Gyu Kwak, Jung‐Yoon Choe, & Seong‐Kyu Kim. (2018). The prevalence of Behçet's disease in Korea: data from Health Insurance Review and Assessment Service from 2011 to 2015.. PubMed. 35 Suppl 108(6). 38–42. 14 indexed citations
8.
Kim, Seong‐Kyu, Sang Gyu Kwak, & Jung‐Yoon Choe. (2018). Serum uric acid level is not associated with osteoarthritis in Korean population: data from the Seventh Korea National Health and Nutrition Examination Survey 2016. Rheumatology International. 38(11). 2077–2085. 8 indexed citations
9.
Lee, Jeong‐Won, Kyung-Eun Lee, Dong-Jin Park, et al.. (2017). Effects of risk factors for and components of metabolic syndrome on the quality of life of patients with systemic lupus erythematosus: a structural equation modeling approach. Quality of Life Research. 27(1). 105–113. 8 indexed citations
10.
Son, Chang‐Nam, et al.. (2016). Simplified Radiographic Damage Index for Affected Joints in Chronic Gouty Arthritis. Journal of Korean Medical Science. 31(3). 435–435. 6 indexed citations
11.
Lee, Sung Won, Shin‐Seok Lee, Dong-Jin Park, et al.. (2016). Genetic Association for P2X7R rs3751142 and CARD8 rs2043211 Polymorphisms for Susceptibility of Gout in Korean Men: Multi-Center Study. Journal of Korean Medical Science. 31(10). 1566–1566. 19 indexed citations
12.
Kim, Seong‐Kyu, et al.. (2016). Andersson lesions of whole spine magnetic resonance imaging compared with plain radiography in ankylosing spondylitis. Rheumatology International. 36(12). 1663–1670. 6 indexed citations
13.
Kim, Seong‐Kyu, Seong‐Kyu Kim, Ha‐Neul Kim, et al.. (2014). Gyejigachulbu‐Tang Relieves Oxaliplatin‐Induced Neuropathic Cold and Mechanical Hypersensitivity in Rats via the Suppression of Spinal Glial Activation. Evidence-based Complementary and Alternative Medicine. 2014(1). 436482–436482. 21 indexed citations
14.
Bae, Jisuk, Dong Hoon Shin, Byung‐Yeol Chun, et al.. (2014). The effect of vitamin C intake on the risk of hyperuricemia and serum uric acid level in Korean Multi-Rural Communities Cohort. Joint Bone Spine. 81(6). 513–519. 17 indexed citations
15.
Park, Sung‐Hoon, Jung‐Yoon Choe, & Seong‐Kyu Kim. (2010). Assessment of liver fibrosis by transient elastography in rheumatoid arthritis patients treated with methotrexate. Joint Bone Spine. 77(6). 588–592. 42 indexed citations
16.
Lee, Shin‐Seok, Seongho Kim, Seong‐Su Nah, et al.. (2010). Smoking habits influence pain and functional and psychiatric features in fibromyalgia. Joint Bone Spine. 78(3). 259–265. 16 indexed citations
17.
Lee, Shin‐Seok, et al.. (2008). The association between smoking and clinical manifestations in patients with Behçet's disease. The Korean Journal of Internal Medicine. 75(2). 202–209. 3 indexed citations
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Jun, Jae‐Bum, Minyoung Her, Tae‐Hwan Kim, et al.. (2006). Femoral bone mineral density is associated with vertebral fractures in patients with ankylosing spondylitis: a cross-sectional study.. PubMed. 33(8). 1637–41. 64 indexed citations
20.
Kim, Seong‐Kyu, Jae‐Bum Jun, Ahmed El‐Sohemy, & Sang‐Cheol Bae. (2006). Cost-effectiveness analysis of MTHFR polymorphism screening by polymerase chain reaction in Korean patients with rheumatoid arthritis receiving methotrexate.. PubMed. 33(7). 1266–74. 43 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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