Wei‐Shun Yang

702 citations
26 papers · 417 · h-index 14

Impact in

Papers in

    • Chronic Kidney Disease and Diabetes 3
    • Acute Kidney Injury Research 3
    • Dialysis and Renal Disease Management 2

Wei‐Shun Yang

26 papers receiving 407 citations

Peers

Wei‐Shun Yang
Comparison fields: 5 of 92
  • Nephrology 129
  • Critical Care and Intensive Care Medicine 19
  • Emergency Medical Services 24
  • Molecular Medicine 14
  • Bioengineering 15
Replace Mercedes García-Alvarez with:
Mercedes García-Alvarez Australia
Sirirat Anutrakulchai Thailand
Charoen Kaitwatcharachai United States
Sunil Agarwal India
Mourad Benyamina France
Yo Hirayama Japan
Mohit Agarwal India
Murali Krishnan Canada
Leonid Koyfman Israel
D. Samba France
Wei‐Shun Yang relative to Mercedes García-Alvarez Australia Mercedes García-Alvarez's profile →
Citations per field
00.5×2×3×4×4.7×
Mercedes García-Alvarez · 1×
Citations per year

Countries citing papers authored by Wei‐Shun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Shun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Shun 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 Wei‐Shun Yang. The network helps show where Wei‐Shun Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 202053
3 201831
4 201625
5 201424
6 199724
7 202023
8 201320
9 201420
10 202216
11 201315
12 200814
13 201414
14 202014
15 202212
16 202011
17 20099
18 20186
19 20156
20 20225

About Wei‐Shun Yang

Wei‐Shun Yang is a scholar working on Nephrology, Molecular Biology, Epidemiology, Surgery and Pharmacology, having authored 26 papers that have together received 417 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Acute Kidney Injury Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Diabetes Treatment and Management (2 papers), Cardiac Arrest and Resuscitation (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Dialysis and Renal Disease Management (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Nephrology (129 citations), Critical Care and Intensive Care Medicine (19 citations), Emergency Medical Services (24 citations), Molecular Medicine (14 citations) and Bioengineering (15 citations). Wei‐Shun Yang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Jenq‐Wen Huang, Vin‐Cent Wu, Kwan‐Dun Wu, Szu‐Ying Lee, Chih‐Kang Chiang, Chung‐Jen Yen, Chia‐Ter Chao, Kuan‐Yu Hung, Chia‐Hsuin Chang and Huei‐Wen Chen. Their work appears in journals such as Scientific Reports, American Journal of Nephrology, Peritoneal Dialysis International, Frontiers in Pharmacology and Pharmaceuticals.

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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