Mark A. Silberman
Impact in
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- Cancer Genomics and Diagnostics
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
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- AI in cancer detection 3
- Surgery 2
- Co-authors
- Jonathan I. Epstein (4 shared papers)Alan W. Partin (1 shared paper)Robert W. Veltri (1 shared paper)William C. Allsbrook (3 shared papers)Joseph D. Kronz (3 shared papers)Michael J. Borowitz (1 shared paper)Theresa L. Nicol (1 shared paper)Dorothy L. Rosenthal (1 shared paper)
- Journals
- Cancer (4 papers)American Journal of Clinical Pathology (1 paper)Kidney Medicine (1 paper)The American Journal of Surgical Pathology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Mark A. Silberman
11 papers receiving 583 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 110
- Pulmonary and Respiratory Medicine 230
- Oncology 111
- Pathology and Forensic Medicine 72
- Rheumatology 43
Countries citing papers authored by Mark A. Silberman
This map shows the geographic impact of Mark A. Silberman'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 A. Silberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Silberman more than expected).
Fields of papers citing papers by Mark A. Silberman
This network shows the impact of papers produced by Mark A. Silberman. 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 A. Silberman. The network helps show where Mark A. Silberman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Silberman, 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 | 1997 | 175 | |
| 2 | 2011 | 159 | |
| 3 | 2000 | 84 | |
| 4 | A web-based tutorial improves practicing pathologists' Gleason grading of images of prostate carcinoma specimens obtained by needle biopsy: validation of a new medical education paradigm. | 2000 | 74 |
| 5 | 2000 | 61 | |
| 6 | 1997 | 32 | |
| 7 | Rapid identification of patient specimens with microsatellite DNA markers. | 1996 | 15 |
| 8 | 2023 | 12 | |
| 9 | 2024 | 2 | |
| 10 | 2000 | 2 | |
| 11 | 1992 | 1 | |
| 12 | 2024 | 0 |
About Mark A. Silberman
Mark A. Silberman is a scholar working on Artificial Intelligence, Surgery, Nephrology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 12 papers that have together received 617 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Housing Market and Economics (1 paper), Urologic and reproductive health conditions (1 paper), Cancer Genomics and Diagnostics (1 paper), SARS-CoV-2 detection and testing (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Cancer Research (110 citations), Pulmonary and Respiratory Medicine (230 citations), Oncology (111 citations), Pathology and Forensic Medicine (72 citations) and Rheumatology (43 citations). Mark A. Silberman has collaborated with scholars based in United States and Germany. Frequent co-authors include Jonathan I. Epstein, Alan W. Partin, Robert W. Veltri, William C. Allsbrook, Joseph D. Kronz, Michael J. Borowitz, Theresa L. Nicol, Dorothy L. Rosenthal, Charles E. Grier and Richard Wenstrup. Their work appears in journals such as Cancer, American Journal of Clinical Pathology, Kidney Medicine, The American Journal of Surgical Pathology and PLoS ONE.
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.