David S. Wang
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Kidney Stones and Urolithiasis Treatments 7
- Renal cell carcinoma treatment 5
- Aortic aneurysm repair treatments 5
- Surgery 23
- Bladder and Urothelial Cancer Treatments 4
- Co-authors
- Lloyd C. L. Hollenberg (6 shared papers)Austin G. Fowler (6 shared papers)Michael Kuo (8 shared papers)Jürgen K. Willmann (6 shared papers)Yu Liang (1 shared paper)Kenneth Aldape (1 shared paper)Christine Nardini (1 shared paper)Mahesh Jayaraman (1 shared paper)
- Journals
- Journal of Endourology (12 papers)Journal of Vascular and Interventional Radiology (11 papers)Journal of the American College of Radiology (4 papers)Quantum Information and Computation (4 papers)The Journal of Urology (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David S. Wang
86 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Hepatology 322
- Radiology, Nuclear Medicine and Imaging 416
- Genetics 163
- Urology 84
- Pulmonary and Respiratory Medicine 434
Countries citing papers authored by David S. Wang
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
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.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 374 | |
| 2 | 2015 | 282 | |
| 3 | 2011 | 229 | |
| 4 | 2010 | 124 | |
| 5 | 2012 | 95 | |
| 6 | 2016 | 92 | |
| 7 | 2012 | 83 | |
| 8 | 2005 | 62 | |
| 9 | 2016 | 60 | |
| 10 | 2008 | 59 | |
| 11 | 2000 | 59 | |
| 12 | 2004 | 49 | |
| 13 | 2010 | 43 | |
| 14 | 2018 | 42 | |
| 15 | 2001 | 40 | |
| 16 | 2013 | 39 | |
| 17 | 2007 | 34 | |
| 18 | 2015 | 33 | |
| 19 | 2004 | 31 | |
| 20 | 2013 | 27 |
About David S. Wang
David S. Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Hepatology and Oncology, having authored 92 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Renal cell carcinoma treatment (5 papers), Quantum Information and Cryptography (5 papers), Aortic aneurysm repair treatments (5 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Hepatology (322 citations), Radiology, Nuclear Medicine and Imaging (416 citations), Genetics (163 citations), Urology (84 citations) and Pulmonary and Respiratory Medicine (434 citations). David S. Wang has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Lloyd C. L. Hollenberg, Austin G. Fowler, Michael Kuo, Jürgen K. Willmann, Yu Liang, Kenneth Aldape, Christine Nardini, Mahesh Jayaraman, Maximilian Diehn and Soonmee Cha. Their work appears in journals such as Journal of Endourology, Journal of Vascular and Interventional Radiology, Journal of the American College of Radiology, Quantum Information and Computation 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.