Su Wang

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

Impact in

Papers in

Su Wang

48 papers receiving 1.0k citations

Peers

Su Wang
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 331
  • Aging 11
  • Molecular Biology 395
  • Pulmonary and Respiratory Medicine 140
  • Pathology and Forensic Medicine 74
Replace Praphulla Chandra Shukla with:
Praphulla Chandra Shukla India
Andreas Jungmann Germany
Mingyue Lun United States
Katherine E. Harris United States
Mariana Kiomy Osako Japan
Xue‐Hai Zhu China
Joji Nitobe Japan
Kuang‐Hueih Chen Canada
Malik Bisserier United States
Haruhito Harada Japan
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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000251
2 2002150
3 2002106
4 200798
5 200251
6 200749
7 200942
8 201836
9 201723
10 202221
11 201217
12 201716
13 202316
14 202215
15 202312
16 202011
17 200811
18 202211
19 200111
20 202110

About Su Wang

Su Wang is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Surgery, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (5 papers), Aortic aneurysm repair treatments (5 papers), Astrophysics and Star Formation Studies (4 papers), Stellar, planetary, and galactic studies (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 (331 citations), Aging (11 citations), Molecular Biology (395 citations), Pulmonary and Respiratory Medicine (140 citations) and Pathology and Forensic Medicine (74 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, Ying-Ying Zhou, Brian K. Kobilka, Rui-Ping Xiao, Wei-Zhong Zhu, Bruce D. Ziman, Yibin Wang and James R. Tonra. Their work appears in journals such as BMC Cardiovascular Disorders, Frontiers in Cardiovascular Medicine, BMC Women s Health, IEEE Transactions on Biomedical Engineering and Journal of Thoracic and Cardiovascular Surgery.

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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