Won Seok Yang

2.7k citations
118 papers · 2.1k · h-index 26

Impact in

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

Papers in

    • Dialysis and Renal Disease Management 18
    • Renal Diseases and Glomerulopathies 9

Won Seok Yang

116 papers receiving 2.0k citations

Peers

Won Seok Yang
Comparison fields: 5 of 118
  • Nephrology 617
  • Transplantation 133
  • Hepatology 216
  • Immunology 252
  • Hematology 128
Replace Gianluigi Zaza with:
Gianluigi Zaza Italy
Takashi Yokoo Japan
Simona Granata Italy
Antonio Lupo Italy
Tevfik Ecder Türkiye
Beatriz Fernández‐Fernández Spain
Carmelo Libetta Italy
Thorsten Feldkamp Germany
Haiping Mao China
N.P. Mallick United Kingdom
Won Seok Yang relative to Gianluigi Zaza Italy Gianluigi Zaza's profile →
Citations per field
00.5×1.5×
Gianluigi Zaza · 1×
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 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002125
2 200290
3 200859
4 200058
5 199955
6 201155
7 200154
8 199851
9 199946
10 200444
11 201639
12 201238
13 200237
14 201437
15 200837
16 201536
17 201635
18 201735
19 201735
20 200034

About Won Seok Yang

Won Seok Yang is a scholar working on Nephrology, Surgery, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 118 papers that have together received 2.1k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (18 papers), Renal Transplantation Outcomes and Treatments (14 papers), Renal Diseases and Glomerulopathies (9 papers), Hepatitis C virus research (8 papers), Cell Adhesion Molecules Research (7 papers), Hepatitis B Virus Studies (6 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Nephrology (617 citations), Transplantation (133 citations), Hepatology (216 citations), Immunology (252 citations) and Hematology (128 citations). Won Seok Yang has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jung Sik Park, Su-Kil Park, Sang Koo Lee, Jai Won Chang, Soon Bae Kim, Soon Bae Kim, Duck Jong Han, Jung Sik Park, Won Ki Min and Hyosang Kim. Their work appears in journals such as Cellular Physiology and Biochemistry, Peritoneal Dialysis International, American Journal of Kidney Diseases, Nephrology and American Journal of Nephrology.

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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