Rohan Patil
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Plant Science
- Pharmacology
- Co-authors
- Akulapalli SudhakarAshley StanleyAshok K. VarmaSuranjana DasFlorian WiesingerHariharan RavishankarDeepa AnandSuchandrima Banerjee
- Topics
- Topic Modeling (2 papers)Food composition and properties (1 paper)Artificial Intelligence in Healthcare (1 paper)
- Journals
- PLoS ONEEuropean Journal of Medicinal Plants2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
- Partner nations
- IndiaSpainUnited States
In The Last Decade
Rohan Patil
7 papers receiving 506 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 221
- Computational Theory and Mathematics 159
- Organic Chemistry 105
- Plant Science 65
- Pharmacology 60
Countries citing papers authored by Rohan Patil
This map shows the geographic impact of Rohan 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 Rohan Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohan Patil more than expected).
Fields of papers citing papers by Rohan Patil
This network shows the impact of papers produced by Rohan 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 Rohan Patil. The network helps show where Rohan Patil may publish in the future.
Co-authorship network of co-authors of Rohan Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Patil. A scholar is included among the top collaborators of Rohan 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 Rohan Patil. Rohan 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | EFFECT OF PRE-TREATMENTS ON PHYSICO-CHEMICAL COMPOSITION OF DEHYDRATED JACKFRUIT CHIPS DURING STORAGE AT AMBIENT TEMPERATURE | 2 |
| 10 | Optimized Hydrophobic Interactions and Hydrogen Bonding at the Target-Ligand Interface Leads the Pathways of Drug-Designingbreakdown → | 506 |
About Rohan Patil
Rohan Patil is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 519 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Food composition and properties (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Drug Discovery (2 citations), Computational Theory and Mathematics (159 citations) and Pharmacology (56 citations). Rohan Patil has collaborated with scholars based in India, Spain and United States. Frequent co-authors include Akulapalli Sudhakar, Ashley Stanley, Ashok K. Varma, Suranjana Das, Florian Wiesinger, Hariharan Ravishankar, Deepa Anand, Suchandrima Banerjee, Dattesh Shanbhag and Ajai Kumar. Their work appears in journals such as PLoS ONE, European Journal of Medicinal Plants and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
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.