Mayur Virarkar
- Surgery
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Priya BhosaleSanaz JavadiMohammed SalehSherif ElsherifAtif B. AwadPeter G. BradfordDheeraj Reddy GopireddyAjaykumar C. Morani
- Topics
- Radiomics and Machine Learning in Medical Imaging (14 papers)Endometrial and Cervical Cancer Treatments (11 papers)Neuroendocrine Tumor Research Advances (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaCritical Reviews in Food Science and NutritionAmerican Journal of Roentgenology
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Mayur Virarkar
65 papers receiving 647 citations
Peers
Comparison fields: 5 of 102
- Surgery 196
- Oncology 186
- Radiology, Nuclear Medicine and Imaging 158
- Pulmonary and Respiratory Medicine 125
- Epidemiology 119
Countries citing papers authored by Mayur Virarkar
This map shows the geographic impact of Mayur Virarkar'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 Mayur Virarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayur Virarkar more than expected).
Fields of papers citing papers by Mayur Virarkar
This network shows the impact of papers produced by Mayur Virarkar. 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 Mayur Virarkar. The network helps show where Mayur Virarkar may publish in the future.
Co-authorship network of co-authors of Mayur Virarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Mayur Virarkar. A scholar is included among the top collaborators of Mayur Virarkar 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 Mayur Virarkar. Mayur Virarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | 24 | |
| 20 | 74 |
About Mayur Virarkar
Mayur Virarkar is a scholar working on Obstetrics and Gynecology, Health Informatics and Reproductive Medicine, having authored 76 papers that have together received 660 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Neuroendocrine Tumor Research Advances (10 papers). The work is most often cited by research in Obstetrics and Gynecology (116 citations), Reproductive Medicine (86 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). Mayur Virarkar has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Priya Bhosale, Sanaz Javadi, Mohammed Saleh, Sherif Elsherif, Atif B. Awad, Peter G. Bradford, Dheeraj Reddy Gopireddy, Ajaykumar C. Morani, Silvana de Castro Faria and Chandana Lall. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Reviews in Food Science and Nutrition and American Journal of Roentgenology.
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.