Mark V. Silva
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Surgery 6
- Bladder and Urothelial Cancer Treatments 4
- Enhanced Recovery After Surgery 1
-
- Renal and Vascular Pathologies 2
- Kidney Stones and Urolithiasis Treatments 2
- Renal cell carcinoma treatment 1
- Co-authors
- Mitchell C. Benson (4 shared papers)Justin T. Matulay (3 shared papers)Kwanghee Kim (1 shared paper)Hikmat Al‐Ahmadie (2 shared papers)Cory Abate‐Shen (1 shared paper)Michael M. Shen (2 shared papers)Eugene J. Pietzak (1 shared paper)Barry S. Taylor (1 shared paper)
- Journals
- The Journal of Urology (4 papers)Urology (4 papers)Clinical Transplantation (1 paper)Journal of Pediatric Urology (1 paper)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Mark V. Silva
16 papers receiving 749 citations
Mark V. Silva's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 365
- Cancer Research 148
- Biotechnology 54
- Urology 34
- Biomedical Engineering 206
Countries citing papers authored by Mark V. Silva
This map shows the geographic impact of Mark V. Silva'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 Mark V. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Silva more than expected).
Fields of papers citing papers by Mark V. Silva
This network shows the impact of papers produced by Mark V. Silva. 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 Mark V. Silva. The network helps show where Mark V. Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark V. Silva, 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 | Tumor Evolution and Drug Response in Patient-Derived Organoid Models of Bladder Cancer Hit paper breakdown → | 2018 | 608 |
| 2 | 2016 | 24 | |
| 3 | 2015 | 21 | |
| 4 | 2016 | 19 | |
| 5 | 2019 | 19 | |
| 6 | 2014 | 17 | |
| 7 | 2005 | 17 | |
| 8 | 2011 | 9 | |
| 9 | 2013 | 8 | |
| 10 | 2019 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2015 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 1 |
About Mark V. Silva
Mark V. Silva is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Organic Chemistry, having authored 16 papers that have together received 758 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (4 papers), Pediatric Urology and Nephrology Studies (3 papers), Renal and Vascular Pathologies (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Renal cell carcinoma treatment (1 paper) and Enhanced Recovery After Surgery (1 paper). The work is most often cited by research in Oncology (365 citations), Cancer Research (148 citations), Biotechnology (54 citations), Urology (34 citations) and Biomedical Engineering (206 citations). Mark V. Silva has collaborated with scholars based in United States. Frequent co-authors include Mitchell C. Benson, Justin T. Matulay, Kwanghee Kim, Hikmat Al‐Ahmadie, Cory Abate‐Shen, Michael M. Shen, Eugene J. Pietzak, Barry S. Taylor, Cyriac Kandoth and Christopher B. Anderson. Their work appears in journals such as The Journal of Urology, Urology, Clinical Transplantation, Journal of Pediatric Urology and Organic & Biomolecular Chemistry.
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.