Rajesh B. Patil
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Pharmacology top 2%
- Complementary and alternative medicine top 2%
- Co-authors
- Jayant KhandareShashwat S. BanerjeeShailendra GuravSatyendra K. PrasadSaurabh K. SinhaRupesh V. ChikhaleNilambari GuravJaiprakash N. Sangshetti
- Topics
- Computational Drug Discovery Methods (23 papers)Synthesis and biological activity (18 papers)vaccines and immunoinformatics approaches (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaBangladeshSaudi Arabia
In The Last Decade
Rajesh B. Patil
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 442
- Computational Theory and Mathematics 261
- Organic Chemistry 255
- Pharmacology 173
- Complementary and alternative medicine 171
Countries citing papers authored by Rajesh B. Patil
This map shows the geographic impact of Rajesh B. 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 Rajesh B. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh B. Patil more than expected).
Fields of papers citing papers by Rajesh B. Patil
This network shows the impact of papers produced by Rajesh B. 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 Rajesh B. Patil. The network helps show where Rajesh B. Patil may publish in the future.
Co-authorship network of co-authors of Rajesh B. Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh B. Patil. A scholar is included among the top collaborators of Rajesh B. 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 Rajesh B. Patil. Rajesh B. 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 31 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | Multi-dimensional QSAR Studies on Aurora-A kinase Inhibitors | 1 |
| 18 | 99 | |
| 19 | 5 | |
| 20 | SYNTHESIS, DOCKING STUDIES AND EVALUATION OF ANTIMICROBIAL AND IN VITRO ANTIPROLIFERATIVE ACTIVITY OF 5H-CHROMENO 4,3-D PYRIMIDIN-2-AMINE DERIVATIVES | 3 |
About Rajesh B. Patil
Rajesh B. Patil is a scholar working on Computational Theory and Mathematics, Pharmacology and Organic Chemistry, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Synthesis and biological activity (18 papers) and vaccines and immunoinformatics approaches (8 papers). The work is most often cited by research in Complementary and alternative medicine (171 citations), Pharmacology (173 citations) and Computational Theory and Mathematics (261 citations). Rajesh B. Patil has collaborated with scholars based in India, Bangladesh and Saudi Arabia. Frequent co-authors include Jayant Khandare, Shashwat S. Banerjee, Shailendra Gurav, Satyendra K. Prasad, Saurabh K. Sinha, Rupesh V. Chikhale, Nilambari Gurav, Jaiprakash N. Sangshetti, Anshul Shakya and Sanjay D. Sawant. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.