Susan C. Harvey
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 10%
- Artificial Intelligence top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Lisa A. MullenRichard L. FishmanFrank J. OverdykEmily B. AmbinderDorothy A. SippoRyan W. WoodsEniola ObadinaMark L. Pinosky
- Topics
- AI in cancer detection (30 papers)Global Cancer Incidence and Screening (27 papers)Breast Lesions and Carcinomas (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingAnesthesiology and Pain MedicinePathology and Forensic Medicine
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Susan C. Harvey
90 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 692
- Oncology 440
- Artificial Intelligence 397
- Surgery 386
- Pulmonary and Respiratory Medicine 384
Countries citing papers authored by Susan C. Harvey
This map shows the geographic impact of Susan C. Harvey'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 Susan C. Harvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan C. Harvey more than expected).
Fields of papers citing papers by Susan C. Harvey
This network shows the impact of papers produced by Susan C. Harvey. 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 Susan C. Harvey. The network helps show where Susan C. Harvey may publish in the future.
Co-authorship network of co-authors of Susan C. Harvey
This figure shows the co-authorship network connecting the top 25 collaborators of Susan C. Harvey. A scholar is included among the top collaborators of Susan C. Harvey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan C. Harvey. Susan C. Harvey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 42 | |
| 10 | 111 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 88 | |
| 18 | 9 | |
| 19 | 95 | |
| 20 | 6 |
About Susan C. Harvey
Susan C. Harvey is a scholar working on Pathology and Forensic Medicine, Oncology and Anesthesiology and Pain Medicine, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI in cancer detection (30 papers), Global Cancer Incidence and Screening (27 papers) and Breast Lesions and Carcinomas (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (692 citations), Anesthesiology and Pain Medicine (161 citations) and Pathology and Forensic Medicine (382 citations). Susan C. Harvey has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Lisa A. Mullen, Richard L. Fishman, Frank J. Overdyk, Emily B. Ambinder, Dorothy A. Sippo, Ryan W. Woods, Eniola Obadina, Mark L. Pinosky, Yuko Y. Palesch and Sunil Patel. Their work appears in journals such as PLoS ONE, Cancer Research and Journal of Bone and Joint Surgery.
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.