Jun‐Sing Wang

6.3k total citations
93 papers, 1.0k citations indexed

About

Jun‐Sing Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Jun‐Sing Wang has authored 93 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 18 papers in Molecular Biology. Recurrent topics in Jun‐Sing Wang's work include Diabetes Treatment and Management (23 papers), Diabetes Management and Research (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Jun‐Sing Wang is often cited by papers focused on Diabetes Treatment and Management (23 papers), Diabetes Management and Research (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Jun‐Sing Wang collaborates with scholars based in Taiwan, United States and China. Jun‐Sing Wang's co-authors include Wayne Huey‐Herng Sheu, I‐Te Lee, Shih‐Yi Lin, Wen‐Jane Lee, Kae‐Woei Liang, Chia‐Po Fu, Shih‐Li Su, Shih‐Te Tu, Shi-Dou Lin and Wen-Lieng Lee and has published in prestigious journals such as PLoS ONE, Diabetes Care and Scientific Reports.

In The Last Decade

Jun‐Sing Wang

86 papers receiving 1.0k citations

Peers

Jun‐Sing Wang
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 411
  • Molecular Biology 226
  • Cardiology and Cardiovascular Medicine 159
  • Surgery 152
  • Physiology 138
Replace Niina Sandholm with:
Niina Sandholm Finland
Ching-Chu Chen Taiwan
Wenjia Yang China
Núria Alonso Spain
Stela McLachlan United Kingdom
Masayasu Yoneda Japan
Amin Jayyousi Qatar
Jordi Goldstein‐Fuchs United States
Monica Vedovato Italy
Dariusz Moczulski Poland
Niina Sandholm Finland View profile →
Citations per field, relative to Jun‐Sing Wang
Jun‐Sing Wang · 1×
Citations per year, relative to Jun‐Sing Wang
Jun‐Sing Wang · 1×

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-authorship network of co-authors of Jun‐Sing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Sing Wang. A scholar is included among the top collaborators of Jun‐Sing Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun‐Sing Wang. Jun‐Sing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 0
5 0
6 4
7 20
8 1
9 19
10 15
11 3
12 4
13 5
14 12
15 4
16 5
17 11
18 69
19 87
20 18

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026