Ankita Narayan

669 total citations
11 papers, 506 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 506 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 Hungary. Ankita Narayan's co-authors include Gavril W. Pasternak, Jin Xu, Ying‐Xian Pan, Susruta Majumdar, Amanda Hunkele, Gina F. Marrone, Steven G. Grinnell, Valerie Le Rouzic, Sanjay Kalra and Attila Borics 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 492 citations

Peers

Ankita Narayan
Steven G. Grinnell United States
Anthony Lozama United States
Shainnel O. Eans United States
Madalee M. Gassaway United States
Samuel Obeng United States
Dana N. Loury United States
Sundari Rallapalli United States
D. Malcolm Duckworth United Kingdom
Scot McIntosh United States
Steven G. Grinnell United States
Ankita Narayan
Citations per year, relative to Ankita Narayan Ankita Narayan (= 1×) peers Steven G. Grinnell

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

11 of 11 papers shown
1.
Narayan, Ankita, Amanda Hunkele, Jin Xu, Daniel L. Bassoni, & Ying‐Xian Pan. (2021). Biased signaling at mu opioid receptor full‐length C‐terminal splice variants. The FASEB Journal. 35(S1). 1 indexed citations
2.
Narayan, Ankita, Amanda Hunkele, Jin Xu, et al.. (2020). Mu Opioids Induce Biased Signaling at the Full-Length Seven Transmembrane C-Terminal Splice Variants of the mu Opioid Receptor Gene, Oprm1. Cellular and Molecular Neurobiology. 41(5). 1059–1074. 18 indexed citations
3.
Rouzic, Valerie Le, Ankita Narayan, Gina F. Marrone, et al.. (2018). Pharmacological Characterization of Levorphanol, a G-Protein Biased Opioid Analgesic. Anesthesia & Analgesia. 128(2). 365–373. 23 indexed citations
4.
Xu, Jin, Zhigang Lu, Ankita Narayan, et al.. (2017). Alternatively spliced mu opioid receptor C termini impact the diverse actions of morphine. Journal of Clinical Investigation. 127(4). 1561–1573. 57 indexed citations
5.
Niederkofler, Vera, Benjamin W. Okaty, Benjamin D. Rood, et al.. (2016). Identification of Serotonergic Neuronal Modules that Affect Aggressive Behavior. Cell Reports. 17(8). 1934–1949. 73 indexed citations
6.
Grinnell, Steven G., Michael Ansonoff, Gina F. Marrone, et al.. (2016). Mediation of buprenorphine analgesia by a combination of traditional and truncated mu opioid receptor splice variants. Synapse. 70(10). 395–407. 38 indexed citations
7.
Marrone, Gina F., Zhigang Lu, Grace C. Rossi, et al.. (2016). Tetrapeptide Endomorphin Analogs Require Both Full Length and Truncated Splice Variants of the Mu Opioid Receptor GeneOprm1for Analgesia. ACS Chemical Neuroscience. 7(12). 1717–1727. 11 indexed citations
8.
Váradi, András, Gina F. Marrone, Travis C. Palmer, et al.. (2016). Mitragynine/Corynantheidine Pseudoindoxyls As Opioid Analgesics with Mu Agonism and Delta Antagonism, Which Do Not Recruit β-Arrestin-2. Journal of Medicinal Chemistry. 59(18). 8381–8397. 245 indexed citations
9.
Kempen, Tracey A. Van, Ankita Narayan, Elizabeth M. Waters, et al.. (2015). Alterations in the subcellular distribution of NADPH oxidase p47phoxin hypothalamic paraventricular neurons following slow‐pressor angiotensin II hypertension in female mice with accelerated ovarian failure. The Journal of Comparative Neurology. 524(11). 2251–2265. 11 indexed citations
10.
Grinnell, Steven G., Susruta Majumdar, Ankita Narayan, et al.. (2014). Pharmacologic Characterization in the Rat of a Potent Analgesic Lacking Respiratory Depression, IBNtxA. Journal of Pharmacology and Experimental Therapeutics. 350(3). 710–718. 20 indexed citations
11.
Paliwal, Sarvesh, et al.. (2009). Quantitative Structure Activity Relationship Analysis of Dicationic Diphenylisoxazole as Potent Anti‐Trypanosomal Agents. QSAR & Combinatorial Science. 28(11-12). 1367–1375. 9 indexed citations

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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