Priyanka Joshi
- Molecular Biology
- Physiology
- Computational Theory and Mathematics top 10%
- Pharmacology
- Materials Chemistry
- Co-authors
- Michele VendruscoloSean ChiaJohnny HabchiChristopher M. DobsonTuomas P. J. KnowlesMichele PerniSara LinseMaho Yagi‐Utsumi
- Topics
- Computational Drug Discovery Methods (4 papers)Alzheimer's disease research and treatments (3 papers)Cholinesterase and Neurodegenerative Diseases (2 papers)
- Cited by
- AgingPhysiologyBiological Psychiatry
- Journals
- SHILAP Revista de lepidopterologíaScience AdvancesEuropean Journal of Neuroscience
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Priyanka Joshi
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 193
- Physiology 178
- Computational Theory and Mathematics 57
- Pharmacology 38
- Materials Chemistry 33
Countries citing papers authored by Priyanka Joshi
This map shows the geographic impact of Priyanka Joshi'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 Priyanka Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Joshi more than expected).
Fields of papers citing papers by Priyanka Joshi
This network shows the impact of papers produced by Priyanka Joshi. 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 Priyanka Joshi. The network helps show where Priyanka Joshi may publish in the future.
Co-authorship network of co-authors of Priyanka Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Joshi. A scholar is included among the top collaborators of Priyanka Joshi 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 Priyanka Joshi. Priyanka Joshi 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 36 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 170 | |
| 15 | 31 | |
| 16 | 58 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Microbial Chit-Chat: Quorum Sensing | 3 |
| 20 | 2 |
About Priyanka Joshi
Priyanka Joshi is a scholar working on Aging, Biological Psychiatry and Nephrology, having authored 21 papers that have together received 342 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Alzheimer's disease research and treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Aging (18 citations), Physiology (178 citations) and Biological Psychiatry (15 citations). Priyanka Joshi has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Michele Vendruscolo, Sean Chia, Johnny Habchi, Christopher M. Dobson, Tuomas P. J. Knowles, Michele Perni, Sara Linse, Maho Yagi‐Utsumi, Martin Müller and Ellen A. A. Nollen. Their work appears in journals such as SHILAP Revista de lepidopterología, Science Advances and European Journal of Neuroscience.
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.