Da David Jiang
Impact in
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- Reproductive Health and Technologies
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in
-
- Renal cell carcinoma treatment 2
- Renal and Vascular Pathologies 1
- Surgery 3
- Testicular diseases and treatments 1
- Bladder and Urothelial Cancer Treatments 1
- Co-authors
- Gang Chen (1 shared paper)Anthony K. H. Tung (1 shared paper)Daniel Dugi (3 shared papers)Jens U. Berli (2 shared papers)Nicholas H. Chakiryan (11 shared papers)Laura Burchill (1 shared paper)Casey A. Seideman (6 shared papers)Jason C. Hedges (5 shared papers)
- Journals
- Journal of Pediatric Urology (4 papers)Urology (3 papers)JAMA Network Open (2 papers)The Journal of Urology (2 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Da David Jiang
19 papers receiving 419 citations
Peers
Comparison fields: 5 of 54
- Reproductive Medicine 38
- Information Systems 111
- Social Psychology 94
- Computer Networks and Communications 101
- Urology 20
Countries citing papers authored by Da David Jiang
This map shows the geographic impact of Da David Jiang'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 Da David Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da David Jiang more than expected).
Fields of papers citing papers by Da David Jiang
This network shows the impact of papers produced by Da David Jiang. 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 Da David Jiang. The network helps show where Da David Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Da David Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 131 | |
| 2 | 2018 | 59 | |
| 3 | 2019 | 52 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2021 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 1 | |
| 18 | Educational value of the transplant experience in urology residency. | 2021 | 1 |
| 19 | 2017 | 1 | |
| 20 | Perioperative stroke and myocardial infarction in urologic surgery. | 2021 | 0 |
About Da David Jiang
Da David Jiang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Urology, Public Health, Environmental and Occupational Health and Computer Networks and Communications, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Testicular diseases and treatments (1 paper), Bladder and Urothelial Cancer Treatments (1 paper), Cloud Computing and Resource Management (1 paper), Renal and Vascular Pathologies (1 paper), Liver Disease and Transplantation (1 paper), Urological Disorders and Treatments (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (38 citations), Information Systems (111 citations), Social Psychology (94 citations), Computer Networks and Communications (101 citations) and Urology (20 citations). Da David Jiang has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Gang Chen, Anthony K. H. Tung, Daniel Dugi, Jens U. Berli, Nicholas H. Chakiryan, Laura Burchill, Casey A. Seideman, Jason C. Hedges, J. Christopher Austin and Aaron Bayne. Their work appears in journals such as Journal of Pediatric Urology, Urology, JAMA Network Open, The Journal of Urology and IEEE Transactions on Knowledge and Data Engineering.
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.