Jae Won Yang

4.3k citations
114 papers · 2.4k · h-index 26

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Jae Won Yang

106 papers receiving 2.2k citations

Peers

Jae Won Yang
Comparison fields: 5 of 141
  • Nephrology 259
  • Infectious Diseases 239
  • Materials Chemistry 520
  • Neurology 116
  • Biomedical Engineering 305
Replace Li Xiao with:
Li Xiao China
José Antonio Rodríguez Spain
Carlos Salomón Australia
Eun Young Lee South Korea
Jae‐Woo Jung South Korea
Tae‐Hwan Lim South Korea
Avnesh S. Thakor United States
Chi-Hang Ronald Lee Singapore
Lin Fei United States
Jing Xu China
Jae Won Yang relative to Li Xiao China Li Xiao's profile →
Citations per field
00.5×2×3×3.9×
Li Xiao · 1×
Citations per year

Countries citing papers authored by Jae Won Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jae Won Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020342
2 2011220
3 2012111
4 2020101
5 201199
6 202082
7 201376
8 201356
9 201353
10 202053
11 201651
12 202249
13 201746
14 202244
15 201842
16 201942
17 201840
18 201633
19 201833
20 201332

About Jae Won Yang

Jae Won Yang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Physiology, Infectious Diseases and Hepatology, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (9 papers), Dialysis and Renal Disease Management (9 papers), Renal Diseases and Glomerulopathies (8 papers), Graphene research and applications (8 papers), Body Composition Measurement Techniques (6 papers), Hepatitis C virus research (4 papers), Molecular Junctions and Nanostructures (4 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Nephrology (259 citations), Infectious Diseases (239 citations), Materials Chemistry (520 citations), Neurology (116 citations) and Biomedical Engineering (305 citations). Jae Won Yang has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Jun Young Lee, Jae Il Shin, KWANG SOO KIM, Andreas Kronbichler, Byoung Geun Han, Keum Hwa Lee, Jae Seok Kim, Jae‐Seok Kim, Seung Ok Choi and Maria Effenberger. Their work appears in journals such as Kidney Research and Clinical Practice, Microscopy and Microanalysis, Nutrients, Scientific Reports and Renal Failure.

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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