Palaniyandi Ravanan

2.5k citations
35 papers · 2.0k indexed · 2 hit papers · h-index 17
Topics
Autophagy in Disease and Therapy (11 papers)Endoplasmic Reticulum Stress and Disease (10 papers)Cell death mechanisms and regulation (5 papers)
Partner nations
IndiaFranceUnited States

In The Last Decade

Palaniyandi Ravanan

35 papers receiving 2.0k citations

Hit Papers

A Molecular Web: Endoplasmic Reticulum Stress, Inflammati...201420262018202220142017100200300400500

Peers

Palaniyandi Ravanan
Comparison fields: 5 of 118
  • Molecular Biology 835
  • Epidemiology 595
  • Cell Biology 357
  • Physiology 260
  • Immunology 204
Replace Priti Talwar with:
Priti Talwar India
Eiji Warabi Japan
Behzad Yeganeh Canada
Tae Woo Jung South Korea
Xiaoyu Li China
Brijesh Kumar Singh Singapore
Ji Hyung Chung South Korea
Tomohiro Omura Japan
Namakkal S. Rajasekaran United States
Guillaume Vial France
Palaniyandi Ravanan relative to Priti Talwar India Priti Talwar's profile →
Citations per field
00.5×1.5×1.9×
Priti Talwar · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 5
4 13
5 16
6 6
7 79
8 16
9 52
10 20
11 9
12 14
13 139
14
A Molecular Web: Endoplasmic Reticulum Stress, Inflammation, and Oxidative Stressbreakdown →
503
15 16
16 12
17 18
18 27
19 58
20 53

About Palaniyandi Ravanan

Palaniyandi Ravanan is a scholar working on Cell Biology, Geriatrics and Gerontology and Neurology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Cell Biology (357 citations), Biological Psychiatry (44 citations) and Epidemiology (595 citations). Palaniyandi Ravanan has collaborated with scholars based in India, France and United States. Frequent co-authors include Priti Talwar, Ida Florance, Avinash Parimisetty, Namrata Chaudhari, Pratibha Singh, Christian Lefebvre d’Hellencourt, Rana Awada, Nicolas Diotel, Anne-Claire Dorsemans and Régis Roche. Their work appears in journals such as PLoS ONE, Scientific Reports and Tetrahedron.

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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