Rushabh H. Doshi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiology practices and education
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Artificial Intelligence in Healthcare and Education 7
-
- Radiology practices and education 3
- Autopsy Techniques and Outcomes 2
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Kanhai Amin (11 shared papers)Howard Paul Forman (4 shared papers)Simar Singh Bajaj (3 shared papers)Pavan Khosla (4 shared papers)Sophie Chheang (3 shared papers)Michel Kahaleh (4 shared papers)Amy Tyberg (3 shared papers)Reem Z. Sharaiha (3 shared papers)
- Journals
- The Yale Journal of Biology and Medicine (3 papers)Radiology (2 papers)Gastrointestinal Endoscopy (2 papers)Journal of Clinical Pathology (2 papers)World Journal of Gastroenterology (1 paper)
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
Rushabh H. Doshi
19 papers receiving 470 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 153
- Radiology, Nuclear Medicine and Imaging 92
- Surgery 149
- Family Practice 6
- Oncology 85
Countries citing papers authored by Rushabh H. Doshi
This map shows the geographic impact of Rushabh H. Doshi'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 Rushabh H. Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushabh H. Doshi more than expected).
Fields of papers citing papers by Rushabh H. Doshi
This network shows the impact of papers produced by Rushabh H. Doshi. 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 Rushabh H. Doshi. The network helps show where Rushabh H. Doshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rushabh H. Doshi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 151 | |
| 2 | 2024 | 86 | |
| 3 | 2023 | 83 | |
| 4 | 2023 | 48 | |
| 5 | 2023 | 38 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 15 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 1991 | 1 | |
| 16 | 1991 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Rushabh H. Doshi
Rushabh H. Doshi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, General Health Professions, Oncology and Artificial Intelligence, having authored 24 papers that have together received 481 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Radiology practices and education (3 papers), Autopsy Techniques and Outcomes (2 papers), Pancreatitis Pathology and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Topic Modeling (2 papers) and Health and Conflict Studies (2 papers). The work is most often cited by research in Health Informatics (153 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Surgery (149 citations), Family Practice (6 citations) and Oncology (85 citations). Rushabh H. Doshi has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Kanhai Amin, Howard Paul Forman, Simar Singh Bajaj, Pavan Khosla, Sophie Chheang, Michel Kahaleh, Amy Tyberg, Reem Z. Sharaiha, Moamen M. Gabr and Amit P. Desai. Their work appears in journals such as The Yale Journal of Biology and Medicine, Radiology, Gastrointestinal Endoscopy, Journal of Clinical Pathology and World Journal of Gastroenterology.
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.