Jin Kuk Kim

1.9k citations
86 papers · 1.3k indexed · 1 hit paper · h-index 20

Jin Kuk Kim

79 papers receiving 1.3k citations

Hit Papers

Application of generative adversarial networks (GAN) for ...12620222026202320244080120

Peers

Jin Kuk Kim
Comparison fields: 5 of 137
  • Nephrology 279
  • Ophthalmology 345
  • Health Informatics 33
  • Radiology, Nuclear Medicine and Imaging 507
  • Epidemiology 235
Replace Àngels Betriu with:
Àngels Betriu Spain
Joon‐Won Kang South Korea
Atiye Çengel Türkiye
Matthew M. Thompson United Kingdom
Xiang Ma China
Manuel F. Jiménez‐Navarro Spain
Hiromasa Otake Japan
Wen Tang China
Barbara M. Klinkhammer Germany
Michiel Voskuil Netherlands
Jin Kuk Kim relative to Àngels Betriu Spain Àngels Betriu's profile →
Citations per field
00.5×6.6×
Àngels Betriu · 1×
Citations per year

Countries citing papers authored by Jin Kuk Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jin Kuk Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Kuk 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 Jin Kuk Kim. The network helps show where Jin Kuk Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20240
5 20236
6 20231
7 20221
8 202212
9 20224
10 20218
11 202017
12 201911
13 201912
14 201918
15 20186
16
Clinical Features of Nutcracker Syndrome in the Adult
20071
17
Clinical benefits of serum BNP measurement in patients with chronic kidney disease
20051
18
Clinical Utility of Access Blood Flow Measurement by Ultrasound Dilution in Hemodialysis Patients
20052
19
Mutations in Hepatitis B Virus Precore and Core Promotor in Children with Chronic Hepatitis B Infection - Comparison Between Vertical and Non-vertical Transmission -
20001
20
Clinical Analysis of 178 Metastatic Brain Tumors
19992

About Jin Kuk Kim

Jin Kuk Kim is a scholar working on Nephrology, Medical Laboratory Technology and Ophthalmology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Corneal surgery and disorders (22 papers), Glaucoma and retinal disorders (14 papers), Dialysis and Renal Disease Management (10 papers), Ocular Surface and Contact Lens (10 papers), Retinal Imaging and Analysis (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Renal Diseases and Glomerulopathies (7 papers) and Ophthalmology and Visual Impairment Studies (6 papers). The work is most often cited by research in Nephrology (279 citations), Ophthalmology (345 citations) and Health Informatics (33 citations). Jin Kuk Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ik Hee Ryu, Tae Keun Yoo, Soo Jeong Choi, In Sik Lee, Seung Duk Hwang, Moo Yong Park, Mary E. Choi, Hee-Jun Na, Hong Kyu Kim and Geunyoung Lee. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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