Govindan Dayanithi

152 total papers · 6.1k total citations
134 papers, 5.0k citations indexed

About

Govindan Dayanithi is a scholar working on Social Psychology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Govindan Dayanithi has authored 134 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Social Psychology, 63 papers in Cellular and Molecular Neuroscience and 59 papers in Molecular Biology. Recurrent topics in Govindan Dayanithi's work include Neuroendocrine regulation and behavior (81 papers), Ion channel regulation and function (33 papers) and Neuroscience and Neuropharmacology Research (29 papers). Govindan Dayanithi is often cited by papers focused on Neuroendocrine regulation and behavior (81 papers), Ion channel regulation and function (33 papers) and Neuroscience and Neuropharmacology Research (29 papers). Govindan Dayanithi collaborates with scholars based in France, United Kingdom and Czechia. Govindan Dayanithi's co-authors include Monique Cazalis, J Nordmann, Nancy Sabatier, José R. Lémos, Gareth Leng, F. Antoni, Jean J. Nordmann, Philip M. Bull, F. Moos and Yoichi Ueta and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Govindan Dayanithi

133 papers receiving 4.9k citations

Author Peers

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

Author Last Decade Papers Cites
Govindan Dayanithi 2.5k 2.0k 1.8k 1.8k 657 134 5.0k
Serge Jard 3.2k 1.3× 1.3k 0.6× 2.7k 1.5× 1.4k 0.8× 656 1.0× 122 5.7k
Gilles Guillon 2.5k 1.0× 1.0k 0.5× 2.3k 1.3× 1.1k 0.6× 801 1.2× 165 5.6k
Michel Dubois‐Dauphin 2.3k 0.9× 1.9k 0.9× 2.6k 1.5× 1.4k 0.8× 735 1.1× 102 7.2k
Glenn I. Hatton 2.3k 0.9× 2.1k 1.0× 1.2k 0.7× 1.9k 1.0× 610 0.9× 95 5.1k
Daniel M. Dorsa 2.1k 0.8× 2.3k 1.1× 1.9k 1.1× 1.7k 1.0× 1.6k 2.4× 112 7.7k
F.W. van Leeuwen 2.4k 1.0× 1.2k 0.6× 1.1k 0.6× 1.4k 0.8× 952 1.4× 72 4.1k
William E. Armstrong 2.4k 0.9× 2.5k 1.3× 1.2k 0.7× 2.0k 1.1× 464 0.7× 95 5.0k
Jean‐Didier Vincent 983 0.4× 2.3k 1.2× 1.8k 1.0× 842 0.5× 397 0.6× 111 5.2k
Jean Jacques Dreifuss 1.9k 0.8× 1.1k 0.6× 749 0.4× 1.3k 0.7× 522 0.8× 81 3.1k
F. Moos 2.5k 1.0× 1.2k 0.6× 552 0.3× 1.9k 1.0× 575 0.9× 71 3.8k

Countries citing papers authored by Govindan Dayanithi

Since Specialization
Citations

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

Fields of papers citing papers by Govindan Dayanithi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Govindan Dayanithi

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