Shashank M. Patil
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Food Science top 5%
- Co-authors
- Ramith RamuPrithvi S. ShirahattiReshma Mary MartizChandan ShivamalluRaghavendra G. AmachawadiV. Lakshmi RanganathaShaukath Ara KhanumMohammed Al‐Ghorbani
- Topics
- Natural Antidiabetic Agents Studies (14 papers)Computational Drug Discovery Methods (10 papers)Synthesis and biological activity (7 papers)
- Partner nations
- IndiaSaudi ArabiaMalaysia
In The Last Decade
Shashank M. Patil
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 315
- Molecular Biology 296
- Organic Chemistry 262
- Computational Theory and Mathematics 223
- Food Science 183
Countries citing papers authored by Shashank M. Patil
This map shows the geographic impact of Shashank M. 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 Shashank M. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashank M. Patil more than expected).
Fields of papers citing papers by Shashank M. Patil
This network shows the impact of papers produced by Shashank M. 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 Shashank M. Patil. The network helps show where Shashank M. Patil may publish in the future.
Co-authorship network of co-authors of Shashank M. Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Shashank M. Patil. A scholar is included among the top collaborators of Shashank M. 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 Shashank M. Patil. Shashank M. 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 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 40 | |
| 12 | 23 | |
| 13 | 28 | |
| 14 | 54 | |
| 15 | 57 | |
| 16 | 49 | |
| 17 | 22 | |
| 18 | 38 | |
| 19 | 42 | |
| 20 | 2 |
About Shashank M. Patil
Shashank M. Patil is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (14 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Biochemistry (137 citations), Endocrinology, Diabetes and Metabolism (315 citations) and Computational Theory and Mathematics (223 citations). Shashank M. Patil has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include Ramith Ramu, Prithvi S. Shirahatti, Reshma Mary Martiz, Chandan Shivamallu, Raghavendra G. Amachawadi, V. Lakshmi Ranganatha, Shaukath Ara Khanum, Mohammed Al‐Ghorbani, V. Kumari and Ashwini Prasad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.
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.