Nina S. Vincoff
- Cancer Research top 10%
- Breast Cancer Treatment Studies 8
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 5
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- Medical Imaging Techniques and Applications 4
- Radiation Dose and Imaging 2
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- Global Cancer Incidence and Screening 3
- Cancer Risks and Factors 2
- Dermatology top 10%
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- Digital Radiography and Breast Imaging 9
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- AI in cancer detection 3
- Co-authors
- Mary S. NewellSusan P. WeinsteinLinda MoyAlana A. LewinPriscilla J. SlanetzPaul L. BaronAshley StuckeyRoberta M. diFlorio‐Alexander
- Journals
- Journal of the American College of Radiology (15 papers)Radiographics (1 paper)Journal of Ultrasound in Medicine (1 paper)
- Partner nations
- United StatesSwitzerlandIreland
In The Last Decade
Nina S. Vincoff
19 papers receiving 489 citations
Peers
Comparison fields: 5 of 46
- Cancer Research 179
- Pathology and Forensic Medicine 167
- Radiology, Nuclear Medicine and Imaging 162
- Oncology 180
- Dermatology 48
Countries citing papers authored by Nina S. Vincoff
This map shows the geographic impact of Nina S. Vincoff'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 Nina S. Vincoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina S. Vincoff more than expected).
Fields of papers citing papers by Nina S. Vincoff
This network shows the impact of papers produced by Nina S. Vincoff. 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 Nina S. Vincoff. The network helps show where Nina S. Vincoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nina S. Vincoff, 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 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 45 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 38 | |
| 14 | 2018 | 54 | |
| 15 | 2018 | 24 | |
| 16 | 2018 | 43 | |
| 17 | 2017 | 119 | |
| 18 | 2017 | 60 | |
| 19 | 2017 | 44 | |
| 20 | 1999 | 24 |
About Nina S. Vincoff
Nina S. Vincoff is a scholar working on Health Informatics, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 499 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (9 papers), Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers), Medical Imaging Techniques and Applications (4 papers), Global Cancer Incidence and Screening (3 papers), AI in cancer detection (3 papers), Cancer Risks and Factors (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Cancer Research (179 citations), Pathology and Forensic Medicine (167 citations) and Radiology, Nuclear Medicine and Imaging (162 citations). Nina S. Vincoff has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Mary S. Newell, Susan P. Weinstein, Linda Moy, Alana A. Lewin, Priscilla J. Slanetz, Paul L. Baron, Ashley Stuckey, Roberta M. diFlorio‐Alexander, Samantha L. Heller and Bethany L. Niell. Their work appears in journals such as Journal of the American College of Radiology, Radiographics, Journal of Ultrasound in Medicine, Clinical Imaging and Journal of Breast 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.