Su Wang

2.0k citations
51 papers · 1.0k · h-index 14

Impact in

Papers in

Su Wang

47 papers receiving 983 citations

Peers

Su Wang
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 321
  • Aging 11
  • Molecular Biology 373
  • Pulmonary and Respiratory Medicine 131
  • Pathology and Forensic Medicine 72
Replace Praphulla Chandra Shukla with:
Praphulla Chandra Shukla India
Mingyue Lun United States
Katherine E. Harris United States
Joji Nitobe Japan
Haruhito Harada Japan
Kenichi Sekiguchi Japan
Kuang‐Hueih Chen Canada
Malik Bisserier United States
Marc J. Semigran United States
Su Wang relative to Praphulla Chandra Shukla India Praphulla Chandra Shukla's profile →
Citations per field
00.5×1.5×
Praphulla Chandra Shukla · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000248
2 2002140
3 2002100
4 200794
5 200250
6 200745
7 200940
8 201836
9 201723
10 202221
11 201217
12 201716
13 202316
14 202215
15 202312
16 202011
17 200811
18 202211
19 202110
20 20177

About Su Wang

Su Wang is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Astronomy and Astrophysics, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Astrophysics and Star Formation Studies (4 papers), Stellar, planetary, and galactic studies (4 papers), Aortic Disease and Treatment Approaches (4 papers), Aortic aneurysm repair treatments (4 papers), Astro and Planetary Science (3 papers), Clinical Nutrition and Gastroenterology (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Vascular Procedures and Complications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (321 citations), Aging (11 citations), Molecular Biology (373 citations), Pulmonary and Respiratory Medicine (131 citations) and Pathology and Forensic Medicine (72 citations). Su Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shi‐Qiang Wang, Heping Cheng, Edward G. Lakatta, Rui-Ping Xiao, Brian K. Kobilka, Bruce D. Ziman, Wei-Zhong Zhu, Ying-Ying Zhou, Yibin Wang and Ming Zheng. Their work appears in journals such as BMC Cardiovascular Disorders, BMC Women s Health, Frontiers in Cardiovascular Medicine, Monthly Notices of the Royal Astronomical Society and Modern Pathology.

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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