Mitchell D. Schnall
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.01%
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies
Papers in
-
- MRI in cancer diagnosis 84
- Advanced MRI Techniques and Applications 67
- Radiomics and Machine Learning in Medical Imaging 34
- Medical Imaging Techniques and Applications 25
-
- Digital Radiography and Breast Imaging 20
- Co-authors
- Susan G. Orel (35 shared papers)Constance D. Lehman (23 shared papers)Mark Rosen (31 shared papers)Etta D. Pisano (20 shared papers)Britton Chance (12 shared papers)Lawrence J. Solin (13 shared papers)Vasilis Ntziachristos (6 shared papers)Jeffrey C. Weinreb (3 shared papers)
- Journals
- Radiology (40 papers)American Journal of Roentgenology (18 papers)Magnetic Resonance in Medicine (17 papers)Journal of Clinical Oncology (15 papers)Journal of Magnetic Resonance Imaging (12 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Mitchell D. Schnall
274 papers receiving 22.9k citations
Mitchell D. Schnall's Hit Papers
Peers
Comparison fields: 5 of 168
- Radiology, Nuclear Medicine and Imaging 11.7k
- Cancer Research 2.7k
- Pulmonary and Respiratory Medicine 5.6k
- Pathology and Forensic Medicine 2.9k
- Oncology 2.3k
Countries citing papers authored by Mitchell D. Schnall
This map shows the geographic impact of Mitchell D. Schnall'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 Mitchell D. Schnall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell D. Schnall more than expected).
Fields of papers citing papers by Mitchell D. Schnall
This network shows the impact of papers produced by Mitchell D. Schnall. 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 Mitchell D. Schnall. The network helps show where Mitchell D. Schnall may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell D. Schnall, 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 279 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2 Hit paper breakdown → | 2015 | 2265 |
| 2 | American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography Hit paper breakdown → | 2007 | 1882 |
| 3 | The National Lung Screening Trial: Overview and Study Design Hit paper breakdown → | 2010 | 914 |
| 4 | Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement Hit paper breakdown → | 2000 | 645 |
| 5 | MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer Hit paper breakdown → | 2007 | 642 |
| 6 | MR Imaging of the Breast for the Detection, Diagnosis, and Staging of Breast Cancer Hit paper breakdown → | 2001 | 604 |
| 7 | Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. Hit paper breakdown → | 1992 | 585 |
| 8 | 2006 | 390 | |
| 9 | 1994 | 377 | |
| 10 | Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy—Results from ACRIN 6657/I-SPY TRIAL Hit paper breakdown → | 2012 | 362 |
| 11 | 1995 | 315 | |
| 12 | 2002 | 302 | |
| 13 | 2005 | 291 | |
| 14 | 2007 | 288 | |
| 15 | 2007 | 285 | |
| 16 | 2002 | 273 | |
| 17 | Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening Hit paper breakdown → | 2020 | 272 |
| 18 | 2002 | 269 | |
| 19 | 2003 | 265 | |
| 20 | 2003 | 252 |
About Mitchell D. Schnall
Mitchell D. Schnall is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Biomedical Engineering, having authored 279 papers that have together received 23.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (84 papers), Advanced MRI Techniques and Applications (67 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Medical Imaging Techniques and Applications (25 papers), Digital Radiography and Breast Imaging (20 papers), AI in cancer detection (20 papers), Advanced NMR Techniques and Applications (17 papers) and Breast Cancer Treatment Studies (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (11.7k citations), Cancer Research (2.7k citations), Pulmonary and Respiratory Medicine (5.6k citations), Pathology and Forensic Medicine (2.9k citations) and Oncology (2.3k citations). Mitchell D. Schnall has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Susan G. Orel, Constance D. Lehman, Mark Rosen, Etta D. Pisano, Britton Chance, Lawrence J. Solin, Vasilis Ntziachristos, Jeffrey C. Weinreb, Clare M. Tempany and Emily F. Conant. Their work appears in journals such as Radiology, American Journal of Roentgenology, Magnetic Resonance in Medicine, Journal of Clinical Oncology and Journal of Magnetic Resonance Imaging.
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.