Ritesh P. Daya

25 total papers · 522 total citations
13 papers, 381 citations indexed

About

Ritesh P. Daya is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Ritesh P. Daya has authored 13 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 3 papers in Pharmaceutical Science. Recurrent topics in Ritesh P. Daya's work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Receptor Mechanisms and Signaling (3 papers). Ritesh P. Daya is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Receptor Mechanisms and Signaling (3 papers). Ritesh P. Daya collaborates with scholars based in Canada, United States and Spain. Ritesh P. Daya's co-authors include Ram K. Mishra, Yogesh K. Katare, Youssef El-Hayek, Alison Evans, Ryan E. Wiley, Clive Ballard, Matthew Norton, José Luís Molinuevo, Alireza Atri and Abhay Singh Chauhan and has published in prestigious journals such as Brain Research, Neuropharmacology and Schizophrenia Research.

In The Last Decade

Ritesh P. Daya

13 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Ritesh P. Daya 140 85 79 69 43 13 381
Megan J. Ehret 62 0.4× 72 0.8× 178 2.3× 12 0.2× 37 0.9× 22 411
Ulrika Bergman 58 0.4× 67 0.8× 35 0.4× 53 0.8× 7 0.2× 6 347
Kunj Gohil 78 0.6× 47 0.6× 127 1.6× 13 0.2× 26 0.6× 12 373
Valentina Cenacchi 61 0.4× 22 0.3× 18 0.2× 14 0.2× 166 3.9× 21 391
Mark D. Watanabe 50 0.4× 33 0.4× 251 3.2× 16 0.2× 14 0.3× 11 412
Tímea Varga 71 0.5× 44 0.5× 93 1.2× 3 0.0× 57 1.3× 7 383
Rossana Aiello 102 0.7× 119 1.4× 96 1.2× 30 0.4× 42 1.0× 11 356
Hye Sook Ahn 251 1.8× 185 2.2× 23 0.3× 6 0.1× 83 1.9× 16 411
Nazem Bassil 38 0.3× 22 0.3× 84 1.1× 14 0.2× 73 1.7× 16 350
Jorge Trejo‐Lopez 92 0.7× 50 0.6× 41 0.5× 5 0.1× 147 3.4× 26 356

Countries citing papers authored by Ritesh P. Daya

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh P. Daya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ritesh P. Daya. 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 Ritesh P. Daya. The network helps show where Ritesh P. Daya may publish in the future.

Co-authorship network of co-authors of Ritesh P. Daya

This figure shows the co-authorship network connecting the top 25 collaborators of Ritesh P. Daya. A scholar is included among the top collaborators of Ritesh P. Daya 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 Ritesh P. Daya. Ritesh P. Daya 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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