Prabhash Nath Tripathi
- Pharmacology top 1%
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Organic Chemistry top 5%
- Physiology top 10%
- Co-authors
- Sushant K. ShrivastavaPavan SrivastavaPiyoosh SharmaAnkit SethAvanish TripathiSurya Pratap SinghSachchida NandManish Tripathi
- Topics
- Cholinesterase and Neurodegenerative Diseases (16 papers)Computational Drug Discovery Methods (13 papers)Medicinal Plants and Neuroprotection (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaProgress in NeurobiologyOrganic Letters
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Prabhash Nath Tripathi
28 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Pharmacology 678
- Computational Theory and Mathematics 474
- Molecular Biology 378
- Organic Chemistry 361
- Physiology 356
Countries citing papers authored by Prabhash Nath Tripathi
This map shows the geographic impact of Prabhash Nath Tripathi'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 Prabhash Nath Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhash Nath Tripathi more than expected).
Fields of papers citing papers by Prabhash Nath Tripathi
This network shows the impact of papers produced by Prabhash Nath Tripathi. 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 Prabhash Nath Tripathi. The network helps show where Prabhash Nath Tripathi may publish in the future.
Co-authorship network of co-authors of Prabhash Nath Tripathi
This figure shows the co-authorship network connecting the top 25 collaborators of Prabhash Nath Tripathi. A scholar is included among the top collaborators of Prabhash Nath Tripathi 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 Prabhash Nath Tripathi. Prabhash Nath Tripathi 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 | Review of Pharmacotherapeutic Targets in Alzheimer’s Disease and Its Management Using Traditional Medicinal Plantsbreakdown → | 80 |
| 3 | 15 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 16 | |
| 10 | 57 | |
| 11 | 84 | |
| 12 | 36 | |
| 13 | 17 | |
| 14 | 53 | |
| 15 | 48 | |
| 16 | 171 | |
| 17 | 31 | |
| 18 | 58 | |
| 19 | 7 | |
| 20 | 3 |
About Prabhash Nath Tripathi
Prabhash Nath Tripathi is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Complementary and alternative medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (16 papers), Computational Drug Discovery Methods (13 papers) and Medicinal Plants and Neuroprotection (5 papers). The work is most often cited by research in Pharmacology (678 citations), Computational Theory and Mathematics (474 citations) and Complementary and alternative medicine (213 citations). Prabhash Nath Tripathi has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Sushant K. Shrivastava, Pavan Srivastava, Piyoosh Sharma, Ankit Seth, Avanish Tripathi, Surya Pratap Singh, Sachchida Nand, Manish Tripathi, Anupam G. Banerjee and Rohit Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Progress in Neurobiology and Organic Letters.
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.