Ja-Ryong Koo

59 papers receiving 1.2k citations

Peers

Ja-Ryong Koo
Comparison fields: 5 of 109
  • Nephrology 488
  • Biological Psychiatry 24
  • Clinical Biochemistry 59
  • Endocrinology, Diabetes and Metabolism 129
  • Biochemistry 46
Replace Mei‐Chuan Kuo with:
Mei‐Chuan Kuo Taiwan
Andréa Emília Marques Stinghen Brazil
Paik‐Seong Lim Taiwan
Hung‐Tien Kuo Taiwan
Marcin Adamczak Poland
Noël Cano France
Mojgan Mortazavi Iran
Farin Rashid Farokhi Iran
John D. Wallin United States
Aleksandra Ciałkowska-Rysz Poland
Ja-Ryong Koo relative to Mei‐Chuan Kuo Taiwan Mei‐Chuan Kuo's profile →
Citations per field
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Mei‐Chuan Kuo · 1×
Citations per year

Countries citing papers authored by Ja-Ryong Koo

Since Specialization
Citations

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

Fields of papers citing papers by Ja-Ryong Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja-Ryong Koo. 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 Ja-Ryong Koo. The network helps show where Ja-Ryong Koo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004154
2 2003134
3 200384
4 200581
5 200278
6 200276
7 200162
8 201957
9 201756
10 200445
11 199940
12 200937
13 200636
14 201332
15 200827
16 200226
17 200324
18 201619
19 200915
20 201414

About Ja-Ryong Koo

Ja-Ryong Koo is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Epidemiology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (13 papers), Renal Diseases and Glomerulopathies (5 papers), Electrolyte and hormonal disorders (5 papers), Advanced Glycation End Products research (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Paraquat toxicity studies and treatments (4 papers), Iron Metabolism and Disorders (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Nephrology (488 citations), Biological Psychiatry (24 citations), Clinical Biochemistry (59 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Biochemistry (46 citations). Ja-Ryong Koo has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Nosratola D. Vaziri, Jung‐Woo Noh, Jong‐Woo Yoon, Ram K. Sindhu, Christian K. Roberts, Young‐Ki Lee, Dong‐Wan Chae, Gheun‐Ho Kim, Myung-Jin Choi and Hyung Jik Kim. Their work appears in journals such as Kidney Research and Clinical Practice, American Journal of Kidney Diseases, Nephrology Dialysis Transplantation, Journal of Korean Medical Science and The American Journal of the Medical Sciences.

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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