Won Seok Yang

2.7k citations
117 papers · 2.1k · h-index 27

Impact in

  • Nephrology top 1%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Transplantation Outcomes and Treatments

Papers in

Won Seok Yang

115 papers receiving 2.1k citations

Peers

Won Seok Yang
Comparison fields: 5 of 111
  • Nephrology 501
  • Transplantation 118
  • Hepatology 154
  • Immunology 199
  • Epidemiology 303
Replace Simona Granata with:
Simona Granata Italy
A Baumelou France
Beatriz Fernández‐Fernández Spain
Yoshihide Fujigaki Japan
Jean‐Michel Halimi France
Mohsen Nafar Iran
Haiping Mao China
Antonio Lupo Italy
Andrew Lewington United Kingdom
Fred G. Silva United States
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Citations per field
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Citations per year

Countries citing papers authored by Won Seok Yang

Since Specialization
Citations

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

Fields of papers citing papers by Won Seok Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002126
2 200290
3 200861
4 200059
5 201155
6 199955
7 200154
8 199851
9 199946
10 200444
11 201240
12 201639
13 201738
14 200838
15 201438
16 200237
17 201737
18 201536
19 201635
20 200034

About Won Seok Yang

Won Seok Yang is a scholar working on Nephrology, Molecular Biology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 117 papers that have together received 2.1k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (9 papers), Renal Transplantation Outcomes and Treatments (9 papers), Hepatitis B Virus Studies (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Renal Diseases and Glomerulopathies (4 papers), Cell Adhesion Molecules Research (4 papers), Blood properties and coagulation (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Nephrology (501 citations), Transplantation (118 citations), Hepatology (154 citations), Immunology (199 citations) and Epidemiology (303 citations). Won Seok Yang has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Soon Bae Kim, Jung Sik Park, Su-Kil Park, Sang Koo Lee, Jai Won Chang, Duck Jong Han, Jung Sik Park, Won Ki Min, Hyosang Kim and Chung Hee Baek. Their work appears in journals such as Cellular Physiology and Biochemistry, Peritoneal Dialysis International, American Journal of Kidney Diseases, Nephrology and Transplantation.

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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