Purna C. Datta

12 total papers · 414 total citations
12 papers, 341 citations indexed

About

Purna C. Datta is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Purna C. Datta has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrine and Autonomic Systems, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Behavioral Neuroscience. Recurrent topics in Purna C. Datta's work include Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (4 papers) and Circadian rhythm and melatonin (4 papers). Purna C. Datta is often cited by papers focused on Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (4 papers) and Circadian rhythm and melatonin (4 papers). Purna C. Datta collaborates with scholars based in Australia and United States. Purna C. Datta's co-authors include M.G. King, Maurice G. King, Curt A. Sandman, Fred K. Hoehler, James M. Swanson, Charles F. Williams and Jennifer L. Barron and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Journal of Autism and Developmental Disorders and Pharmacology Biochemistry and Behavior.

In The Last Decade

Purna C. Datta

12 papers receiving 326 citations

Author Peers

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

Author Last Decade Papers Cites
Purna C. Datta 164 118 107 68 59 12 341
David Pritchett 97 0.6× 146 1.2× 70 0.7× 37 0.5× 42 0.7× 16 385
Xiyu Zhu 97 0.6× 95 0.8× 138 1.3× 69 1.0× 115 1.9× 12 368
Brenda Mc Mahon 75 0.5× 96 0.8× 96 0.9× 37 0.5× 73 1.2× 15 331
Inge G. Wolterink‐Donselaar 118 0.7× 72 0.6× 151 1.4× 66 1.0× 34 0.6× 19 399
Chelsea A. Vadnie 158 1.0× 73 0.6× 87 0.8× 26 0.4× 33 0.6× 15 316
Victoria M. Smith 182 1.1× 185 1.6× 101 0.9× 55 0.8× 44 0.7× 25 383
Jeffrey J. Olney 175 1.1× 161 1.4× 160 1.5× 42 0.6× 42 0.7× 12 403
Kariina Laas 69 0.4× 87 0.7× 108 1.0× 77 1.1× 43 0.7× 19 316
Laurent Coque 221 1.3× 147 1.2× 101 0.9× 45 0.7× 36 0.6× 6 392
Shannon L. Cole 105 0.6× 124 1.1× 175 1.6× 54 0.8× 46 0.8× 11 402

Countries citing papers authored by Purna C. Datta

Since Specialization
Citations

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

Fields of papers citing papers by Purna C. Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Purna C. Datta. 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 Purna C. Datta. The network helps show where Purna C. Datta may publish in the future.

Co-authorship network of co-authors of Purna C. Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Purna C. Datta. A scholar is included among the top collaborators of Purna C. Datta 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 Purna C. Datta. Purna C. Datta 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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