Ankita Narayan

13 total papers · 652 total citations
11 papers, 502 citations indexed

About

Ankita Narayan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Ankita Narayan has authored 11 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Ankita Narayan's work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Ankita Narayan is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Ankita Narayan collaborates with scholars based in United States, India and China. Ankita Narayan's co-authors include Gavril W. Pasternak, Ying‐Xian Pan, Jin Xu, Susruta Majumdar, Amanda Hunkele, Gina F. Marrone, Valerie Le Rouzic, Steven G. Grinnell, Joan Subrath and Sanjay Kalra and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Comparative Neurology and The FASEB Journal.

In The Last Decade

Ankita Narayan

11 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Ankita Narayan	253	238	149	119	116	11	502
Dana N. Loury	287 1.1×	403 1.7×	103 0.7×	53 0.4×	143 1.2×	24	610
Jutta Walstab	198 0.8×	258 1.1×	68 0.5×	58 0.5×	18 0.2×	13	589
E.S. Vesell	81 0.3×	185 0.8×	143 1.0×	37 0.3×	33 0.3×	21	517
Fleur Clarisse Okomolo Moto	127 0.5×	111 0.5×	109 0.7×	47 0.4×	39 0.3×	17	588
Joseph J. McPhillips	164 0.6×	219 0.9×	58 0.4×	36 0.3×	28 0.2×	25	613
U Svensson	256 1.0×	257 1.1×	158 1.1×	59 0.5×	22 0.2×	20	590
Ranjithkumar Chellian	137 0.5×	191 0.8×	62 0.4×	22 0.2×	27 0.2×	22	517
Senait Ghirmai	124 0.5×	190 0.8×	86 0.6×	45 0.4×	14 0.1×	14	606
A. F. GREEN	181 0.7×	190 0.8×	41 0.3×	90 0.8×	31 0.3×	27	598
Sundari Rallapalli	276 1.1×	235 1.0×	64 0.4×	125 1.1×	25 0.2×	26	511

Countries citing papers authored by Ankita Narayan

Since Specialization

Citations

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

Fields of papers citing papers by Ankita Narayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Narayan

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