Priyanka Joshi

39 total papers · 465 total citations
21 papers, 337 citations indexed

About

Priyanka Joshi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Priyanka Joshi has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Physiology. Recurrent topics in Priyanka Joshi's work include Computational Drug Discovery Methods (4 papers), Alzheimer's disease research and treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Priyanka Joshi is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Alzheimer's disease research and treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Priyanka Joshi collaborates with scholars based in India, United Kingdom and United States. Priyanka Joshi's co-authors include Michele Vendruscolo, Sean Chia, Christopher M. Dobson, Johnny Habchi, Tuomas P. J. Knowles, Michele Perni, Sara Linse, Ellen A. A. Nollen, Maho Yagi‐Utsumi and Samuel I. A. Cohen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and European Journal of Neuroscience.

In The Last Decade

Priyanka Joshi

18 papers receiving 329 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Priyanka Joshi 189 178 57 36 33 21 337
M. Mahafuzur Rahman 146 0.8× 185 1.0× 21 0.4× 38 1.1× 13 0.4× 10 312
Paola Marzullo 133 0.7× 70 0.4× 55 1.0× 92 2.6× 20 0.6× 16 355
Xinyi Cheng 121 0.6× 117 0.7× 39 0.7× 36 1.0× 22 0.7× 29 331
Sudip Dhakal 195 1.0× 85 0.5× 16 0.3× 38 1.1× 62 1.9× 23 399
Krzysztof Młynarczyk 112 0.6× 116 0.7× 20 0.4× 42 1.2× 38 1.2× 21 308
Alexey B. Mantsyzov 236 1.2× 186 1.0× 56 1.0× 40 1.1× 54 1.6× 20 386
Hong‐Zhuan Chen 159 0.8× 71 0.4× 23 0.4× 59 1.6× 29 0.9× 18 377
Nicolò Tonali 234 1.2× 140 0.8× 41 0.7× 49 1.4× 16 0.5× 31 370
Sara García‐Viñuales 196 1.0× 181 1.0× 26 0.5× 47 1.3× 21 0.6× 19 357
Marie Jouanne 130 0.7× 121 0.7× 31 0.5× 66 1.8× 9 0.3× 14 368

Countries citing papers authored by Priyanka Joshi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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