Lokesh Ravi
- Co-authors
- Jegathalaprathaban RajeshMookkandi Palsamy KesavanG. RajagopalKasi GopinathAyyakannu ArumugamJamal M. KhaledGiovanni BenelliShine Kadaikunnan
- Topics
- Computational Drug Discovery Methods (12 papers)Microbial Natural Products and Biosynthesis (9 papers)Synthesis and biological activity (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Hazardous MaterialsBMC Bioinformatics
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Lokesh Ravi
53 papers receiving 605 citations
Peers
Comparison fields: 5 of 92
- Organic Chemistry 150
- Molecular Biology 142
- Oncology 135
- Plant Science 133
- Materials Chemistry 131
Countries citing papers authored by Lokesh Ravi
This map shows the geographic impact of Lokesh Ravi'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 Lokesh Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lokesh Ravi more than expected).
Fields of papers citing papers by Lokesh Ravi
This network shows the impact of papers produced by Lokesh Ravi. 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 Lokesh Ravi. The network helps show where Lokesh Ravi may publish in the future.
Co-authorship network of co-authors of Lokesh Ravi
This figure shows the co-authorship network connecting the top 25 collaborators of Lokesh Ravi. A scholar is included among the top collaborators of Lokesh Ravi 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 Lokesh Ravi. Lokesh Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 60 | |
| 14 | 29 | |
| 15 | 92 | |
| 16 | A Handbook on Protein-Ligand Docking Tool: AutoDock 4 | 16 |
| 17 | Potential antibacterial drug targets for Quercetin and Rutin: An in silicostudy using AutoDock | 5 |
| 18 | Molecular docking analysis of anticancerous interactions of salinomycin | 2 |
| 19 | Annoreticuin and sabadelin,a potential oncogenic transcriptional factorinhibitors: An in silico analysis | 3 |
| 20 | IN SILICO ANALYSIS OF STREPTOMYCES SP SECONDARY METABOLITE 1, 2- BENZENEDICARBOXYLIC ACID, MONO (2-ETHYLHEXYL) ESTER WITH ESBL PROTEINS | 3 |
About Lokesh Ravi
Lokesh Ravi is a scholar working on Horticulture, Applied Microbiology and Biotechnology and Computational Theory and Mathematics, having authored 60 papers that have together received 620 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Microbial Natural Products and Biosynthesis (9 papers) and Synthesis and biological activity (8 papers). The work is most often cited by research in Drug Discovery (2 citations), Complementary and alternative medicine (46 citations) and Organic Chemistry (150 citations). Lokesh Ravi has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Jegathalaprathaban Rajesh, Mookkandi Palsamy Kesavan, G. Rajagopal, Kasi Gopinath, Ayyakannu Arumugam, Jamal M. Khaled, Giovanni Benelli, Shine Kadaikunnan, Naiyf S. Alharbi and Marimuthu Govindarajan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and BMC Bioinformatics.
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.