Jun‐Sing Wang

6.6k citations
94 papers · 1.1k · h-index 18

Impact in

Papers in

Jun‐Sing Wang

88 papers receiving 1.0k citations

Peers

Jun‐Sing Wang
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 271
  • Ophthalmology 77
  • Nephrology 38
  • Cardiology and Cardiovascular Medicine 106
  • Rheumatology 70
Replace Ching-Chu Chen with:
Ching-Chu Chen Taiwan
Wenjia Yang China
Núria Alonso Spain
Stela McLachlan United Kingdom
Yan-Hong Pan China
Masayasu Yoneda Japan
Amin Jayyousi Qatar
Qiuhe Ji China
Niina Sandholm Finland
Fatma Uçar Türkiye
Jun‐Sing Wang relative to Ching-Chu Chen Taiwan Ching-Chu Chen's profile →
Citations per field
00.5×3.3×
Ching-Chu Chen · 1×
Citations per year

Countries citing papers authored by Jun‐Sing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Sing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Sing Wang. 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 Jun‐Sing Wang. The network helps show where Jun‐Sing Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201592
2 201090
3 201371
4 201159
5 201741
6 201831
7 201130
8 201527
9 201627
10 201326
11 202222
12 202220
13 202220
14 202119
15 201919
16 201619
17 200618
18 201218
19 201316
20 201816

About Jun‐Sing Wang

Jun‐Sing Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Epidemiology, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cardiovascular Function and Risk Factors (6 papers), Diabetes Management and Research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Hip and Femur Fractures (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (271 citations), Ophthalmology (77 citations), Nephrology (38 citations), Cardiology and Cardiovascular Medicine (106 citations) and Rheumatology (70 citations). Jun‐Sing Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wayne Huey‐Herng Sheu, I‐Te Lee, Shih‐Yi Lin, Wen‐Jane Lee, Kae‐Woei Liang, Chia‐Po Fu, Shih‐Te Tu, Shih‐Li Su, Shi-Dou Lin and Wen-Lieng Lee. Their work appears in journals such as Clinica Chimica Acta, Journal of Clinical Medicine, Scientific Reports, Medicine and International Journal of Clinical Practice.

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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