Saurabh K. Sinha
- Computational Theory and Mathematics top 2%
- Pharmacology top 2%
- Complementary and alternative medicine top 2%
- Molecular Biology
- Infectious Diseases top 10%
- Co-authors
- Satyendra K. PrasadShailendra GuravSushant K. ShrivastavaAnshul ShakyaRupali S. PrasadNilambari GuravRajesh B. PatilRupesh V. Chikhale
- Topics
- Computational Drug Discovery Methods (12 papers)Pharmacological Effects of Natural Compounds (7 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of EthnopharmacologyBioorganic & Medicinal Chemistry
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Saurabh K. Sinha
37 papers receiving 891 citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 320
- Pharmacology 239
- Complementary and alternative medicine 233
- Molecular Biology 197
- Infectious Diseases 178
Countries citing papers authored by Saurabh K. Sinha
This map shows the geographic impact of Saurabh K. Sinha'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 Saurabh K. Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh K. Sinha more than expected).
Fields of papers citing papers by Saurabh K. Sinha
This network shows the impact of papers produced by Saurabh K. Sinha. 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 Saurabh K. Sinha. The network helps show where Saurabh K. Sinha may publish in the future.
Co-authorship network of co-authors of Saurabh K. Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh K. Sinha. A scholar is included among the top collaborators of Saurabh K. Sinha 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 Saurabh K. Sinha. Saurabh K. Sinha 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 | 13 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 30 | |
| 9 | 99 | |
| 10 | 40 | |
| 11 | 16 | |
| 12 | 47 | |
| 13 | 3 | |
| 14 | 29 | |
| 15 | 10 | |
| 16 | 48 | |
| 17 | Workplace Bullying in School Teachers:An Indian Enquiry | 4 |
| 18 | 31 | |
| 19 | 11 | |
| 20 | 30 |
About Saurabh K. Sinha
Saurabh K. Sinha is a scholar working on Pharmacology, Complementary and alternative medicine and Computational Theory and Mathematics, having authored 39 papers that have together received 912 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Pharmacological Effects of Natural Compounds (7 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Complementary and alternative medicine (233 citations), Pharmacology (239 citations) and Computational Theory and Mathematics (320 citations). Saurabh K. Sinha has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Satyendra K. Prasad, Shailendra Gurav, Sushant K. Shrivastava, Anshul Shakya, Rupali S. Prasad, Nilambari Gurav, Rajesh B. Patil, Rupesh V. Chikhale, Manish Wanjari and Prakash R. Itankar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and Bioorganic & Medicinal Chemistry.
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.