Devasenathipathy Kandasamy
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology
- Oncology
- Co-authors
- Raju SharmaSameer BakhshiAmit MehndirattaAshu Seith BhallaShivanand GamanagattiAnkur GoyalRajesh KhadgawatKedar Khare
- Topics
- Radiomics and Machine Learning in Medical Imaging (20 papers)MRI in cancer diagnosis (15 papers)Pancreatic and Hepatic Oncology Research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Devasenathipathy Kandasamy
129 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Surgery 369
- Pulmonary and Respiratory Medicine 275
- Radiology, Nuclear Medicine and Imaging 271
- Epidemiology 174
- Oncology 150
Countries citing papers authored by Devasenathipathy Kandasamy
This map shows the geographic impact of Devasenathipathy Kandasamy'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 Devasenathipathy Kandasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devasenathipathy Kandasamy more than expected).
Fields of papers citing papers by Devasenathipathy Kandasamy
This network shows the impact of papers produced by Devasenathipathy Kandasamy. 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 Devasenathipathy Kandasamy. The network helps show where Devasenathipathy Kandasamy may publish in the future.
Co-authorship network of co-authors of Devasenathipathy Kandasamy
This figure shows the co-authorship network connecting the top 25 collaborators of Devasenathipathy Kandasamy. A scholar is included among the top collaborators of Devasenathipathy Kandasamy 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 Devasenathipathy Kandasamy. Devasenathipathy Kandasamy 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 27 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 0 |
About Devasenathipathy Kandasamy
Devasenathipathy Kandasamy is a scholar working on Nephrology, Surgery and Pulmonary and Respiratory Medicine, having authored 161 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (15 papers) and Pancreatic and Hepatic Oncology Research (11 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (271 citations) and Nephrology (81 citations). Devasenathipathy Kandasamy has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Raju Sharma, Sameer Bakhshi, Amit Mehndiratta, Ashu Seith Bhalla, Shivanand Gamanagatti, Ankur Goyal, Rajesh Khadgawat, Kedar Khare, Nikhil Tandon and Manisha Jana. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.