Priti Jain
- Molecular Biology
- Information Systems top 10%
- Physiology
- Pharmacology
- Computational Theory and Mathematics top 10%
- Co-authors
- Hemant R. JadhavPankaj WadhwaNanasaheb D. ThoratSantosh RudrawarShreyans K. JainNalini GuptaArchna SumanAtul A. Shirkhedkar
- Topics
- Computational Drug Discovery Methods (8 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)HIV/AIDS drug development and treatment (6 papers)
- Cited by
- Library and Information SciencesPharmaceutical ScienceStatistics, Probability and Uncertainty
- Partner nations
- IndiaBotswanaUnited States
In The Last Decade
Priti Jain
39 papers receiving 464 citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 167
- Information Systems 64
- Physiology 62
- Pharmacology 60
- Computational Theory and Mathematics 53
Countries citing papers authored by Priti Jain
This map shows the geographic impact of Priti Jain'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 Priti Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priti Jain more than expected).
Fields of papers citing papers by Priti Jain
This network shows the impact of papers produced by Priti Jain. 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 Priti Jain. The network helps show where Priti Jain may publish in the future.
Co-authorship network of co-authors of Priti Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Priti Jain. A scholar is included among the top collaborators of Priti Jain 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 Priti Jain. Priti Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 88 | |
| 9 | 73 | |
| 10 | 3 | |
| 11 | 4-Substituted Benzylideneisoquinoline-1,3(2H, 4H)-dione Derivatives: Synthesis and Biological Evaluation as Potential HIV-1 Integrase Inhibitors | 1 |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 30 | |
| 18 | Promoting Open Access to Research in Academic Libraries | 22 |
| 19 | Microbial degradation of grains, oil seeds, textiles, wood, corrosion of metals and bioleaching of mineral ores | 4 |
| 20 | Sugarcane juice concentrate: Preparation, preservation and storage | 3 |
About Priti Jain
Priti Jain is a scholar working on Virology, Library and Information Sciences and Computational Theory and Mathematics, having authored 43 papers that have together received 501 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Library and Information Sciences (19 citations), Pharmaceutical Science (32 citations) and Statistics, Probability and Uncertainty (28 citations). Priti Jain has collaborated with scholars based in India, Botswana and United States. Frequent co-authors include Hemant R. Jadhav, Pankaj Wadhwa, Nanasaheb D. Thorat, Santosh Rudrawar, Shreyans K. Jain, Nalini Gupta, Archna Suman, Atul A. Shirkhedkar, Pushpa Singh and Rajeev Singh Raghuvanshi. Their work appears in journals such as Carbohydrate Polymers, European Journal of Medicinal Chemistry and Frontiers in Pharmacology.
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.