Palaniyandi Ravanan

60 total papers · 2.5k total citations
35 papers, 2.0k citations indexed

About

Palaniyandi Ravanan is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Palaniyandi Ravanan has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Epidemiology and 10 papers in Cell Biology. Recurrent topics in Palaniyandi Ravanan's work include Autophagy in Disease and Therapy (11 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Cell death mechanisms and regulation (5 papers). Palaniyandi Ravanan is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Cell death mechanisms and regulation (5 papers). Palaniyandi Ravanan collaborates with scholars based in India, France and Réunion. Palaniyandi Ravanan's co-authors include Priti Talwar, Ida Florance, Avinash Parimisetty, Namrata Chaudhari, Pratibha Singh, Christian Lefebvre d’Hellencourt, Nicolas Diotel, Rana Awada, Anne-Claire Dorsemans and Laurence Hoareau and has published in prestigious journals such as PLoS ONE, Scientific Reports and Tetrahedron.

In The Last Decade

Palaniyandi Ravanan

35 papers receiving 1.9k citations

Hit Papers

A Molecular Web: Endoplas... 2014 2026 2018 2022 2014 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Palaniyandi Ravanan 828 591 355 260 202 35 2.0k
Jean-Paul Decuypere 917 1.1× 780 1.3× 374 1.1× 255 1.0× 103 0.5× 28 1.9k
Karen S. Poksay 1.2k 1.4× 303 0.5× 307 0.9× 328 1.3× 162 0.8× 33 1.9k
Scott Kulich 1.4k 1.7× 765 1.3× 263 0.7× 345 1.3× 158 0.8× 28 2.6k
Carlo Follo 795 1.0× 513 0.9× 231 0.7× 266 1.0× 156 0.8× 36 1.7k
Maria Markaki 1.2k 1.5× 1.1k 1.8× 209 0.6× 418 1.6× 172 0.9× 35 2.7k
Samantha Giordano 1.2k 1.4× 761 1.3× 199 0.6× 408 1.6× 129 0.6× 18 2.3k
Yajun Wu 1.0k 1.2× 798 1.4× 203 0.6× 504 1.9× 165 0.8× 57 2.5k
Mariasole Perrone 1.2k 1.5× 347 0.6× 306 0.9× 264 1.0× 198 1.0× 34 1.9k
Yeonsoo Joe 1.5k 1.8× 594 1.0× 405 1.1× 432 1.7× 331 1.6× 85 2.6k
Yeon Ja Choi 801 1.0× 271 0.5× 433 1.2× 452 1.7× 219 1.1× 53 2.2k

Countries citing papers authored by Palaniyandi Ravanan

Since Specialization
Citations

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

Fields of papers citing papers by Palaniyandi Ravanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Palaniyandi Ravanan

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