Priyanka Parihar

25 total papers · 816 total citations
16 papers, 634 citations indexed

About

Priyanka Parihar is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Priyanka Parihar has authored 16 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Priyanka Parihar's work include Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (4 papers) and Alzheimer's disease research and treatments (3 papers). Priyanka Parihar is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (4 papers) and Alzheimer's disease research and treatments (3 papers). Priyanka Parihar collaborates with scholars based in India and United States. Priyanka Parihar's co-authors include Mordhwaj S. Parihar, Isha Solanki, Pedram Ghafourifar, Arti Parihar, Gyanesh Kumar Tiwari, Amit Kumar and Jai Prakash Jaiswal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Experimental Gerontology.

In The Last Decade

Priyanka Parihar

15 papers receiving 621 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 Parihar 223 172 111 101 78 16 634
Kasthuri Bai Magalingam 223 1.0× 126 0.7× 90 0.8× 99 1.0× 108 1.4× 19 587
Juliano Marchi Vieira 167 0.7× 144 0.8× 165 1.5× 141 1.4× 116 1.5× 19 749
Natalie A. Kelsey 257 1.2× 113 0.7× 63 0.6× 98 1.0× 123 1.6× 12 659
Ikram Ullah 197 0.9× 144 0.8× 142 1.3× 106 1.0× 94 1.2× 21 665
Everton Luiz Pompeu Varela 180 0.8× 154 0.9× 71 0.6× 66 0.7× 46 0.6× 29 669
Alice Cheng 304 1.4× 277 1.6× 89 0.8× 38 0.4× 57 0.7× 14 694
Pamela Nardiello 208 0.9× 148 0.9× 51 0.5× 66 0.7× 138 1.8× 14 702
Amin Iranpanah 265 1.2× 75 0.4× 81 0.7× 87 0.9× 109 1.4× 23 695
Aimee N. Winter 279 1.3× 109 0.6× 81 0.7× 83 0.8× 155 2.0× 16 698
Sung-Jun Kim 199 0.9× 79 0.5× 75 0.7× 151 1.5× 84 1.1× 16 642

Countries citing papers authored by Priyanka Parihar

Since Specialization
Citations

This map shows the geographic impact of Priyanka Parihar'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 Parihar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Parihar more than expected).

Fields of papers citing papers by Priyanka Parihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priyanka Parihar. 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 Parihar. The network helps show where Priyanka Parihar may publish in the future.

Co-authorship network of co-authors of Priyanka Parihar

This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Parihar. A scholar is included among the top collaborators of Priyanka Parihar 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 Parihar. Priyanka Parihar 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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