David S. Wang

81 papers receiving 2.3k citations

Peers

David S. Wang
Comparison fields: 5 of 119
  • Hepatology 354
  • Radiology, Nuclear Medicine and Imaging 568
  • Urology 146
  • Pulmonary and Respiratory Medicine 585
  • Genetics 180
Replace Spencer C. Behr with:
Spencer C. Behr United States
Mark K. Buyyounouski United States
Wendy Hayes United States
Masayuki Matsuo Japan
Alan H. Stolpen United States
Philippe Camparo France
Shiva K. Das United States
MingDe Lin United States
Andrew Protheroe United Kingdom
Jean‐Paul Vallée Switzerland
David S. Wang relative to Spencer C. Behr United States Spencer C. Behr's profile →
Citations per field
00.5×6.3×
Spencer C. Behr · 1×
Citations per year

Countries citing papers authored by David S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by David S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008345
2 2015274
3 2011223
4 2010117
5 201690
6 201288
7 201278
8 201658
9 200056
10 200556
11 200855
12 200447
13 201841
14 201339
15 201038
16 200136
17 200732
18 201531
19 200430
20 201026

About David S. Wang

David S. Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Pediatric Urology and Nephrology Studies (10 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Urological Disorders and Treatments (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Ureteral procedures and complications (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Renal and Vascular Pathologies (6 papers). The work is most often cited by research in Hepatology (354 citations), Radiology, Nuclear Medicine and Imaging (568 citations), Urology (146 citations), Pulmonary and Respiratory Medicine (585 citations) and Genetics (180 citations). David S. Wang has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Austin G. Fowler, Lloyd C. L. Hollenberg, Michael Kuo, Jürgen K. Willmann, Mahesh Jayaraman, Yu Liang, Susan L. McGovern, Kenneth Aldape, Maximilian Diehn and Soonmee Cha. Their work appears in journals such as Journal of Endourology, Journal of Vascular and Interventional Radiology, Quantum Information and Computation, Journal of the American College of Radiology and The Journal of Urology.

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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