Ashlesh Patil
- Infectious Diseases
- Radiology, Nuclear Medicine and Imaging
- Modeling and Simulation
- Neurology
- Clinical Psychology
- Co-authors
- S. C. TripathiJaya Prasad TripathyKishore Kumar DeepakChad J. CreightonAnamika PandeyJody V. VykoukalArvind Chandra PandeyDavid I. Douphrate
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (3 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Science and TechnologyFrontiers in Molecular Biosciences
- Partner nations
- IndiaUnited StatesOman
In The Last Decade
Ashlesh Patil
13 papers receiving 70 citations
Peers
Comparison fields: 5 of 48
- Infectious Diseases 37
- Radiology, Nuclear Medicine and Imaging 12
- Modeling and Simulation 12
- Neurology 8
- Clinical Psychology 8
Countries citing papers authored by Ashlesh Patil
This map shows the geographic impact of Ashlesh Patil'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 Ashlesh Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashlesh Patil more than expected).
Fields of papers citing papers by Ashlesh Patil
This network shows the impact of papers produced by Ashlesh Patil. 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 Ashlesh Patil. The network helps show where Ashlesh Patil may publish in the future.
Co-authorship network of co-authors of Ashlesh Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Ashlesh Patil. A scholar is included among the top collaborators of Ashlesh Patil 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 Ashlesh Patil. Ashlesh Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | COVID 19 diagnostic multiplicity and its role in community surveillance and control. | 12 |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 |
About Ashlesh Patil
Ashlesh Patil is a scholar working on Biological Psychiatry, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 71 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Modeling and Simulation (12 citations), Infectious Diseases (37 citations) and Health Informatics (2 citations). Ashlesh Patil has collaborated with scholars based in India, United States and Oman. Frequent co-authors include S. C. Tripathi, Jaya Prasad Tripathy, Kishore Kumar Deepak, Chad J. Creighton, Anamika Pandey, Jody V. Vykoukal, Arvind Chandra Pandey, David I. Douphrate, David Gilkey and Mamta Arya. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Science and Technology and Frontiers in Molecular Biosciences.
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.