Mahesh Darna

572 total citations
16 papers, 452 citations indexed

About

Mahesh Darna is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Mahesh Darna has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Mahesh Darna's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Memory and Neural Mechanisms (4 papers). Mahesh Darna is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Memory and Neural Mechanisms (4 papers). Mahesh Darna collaborates with scholars based in United States, Germany and Switzerland. Mahesh Darna's co-authors include Linda P. Dwoskin, Michael T. Bardo, Joshua S. Beckmann, Jane E. Joseph, Thomas H. Kelly, Peter Huettl, Jennifer L. Perry, Yang Jiang, Rick S. Zimmerman and Cassandra D. Gipson and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Mahesh Darna

16 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahesh Darna United States 12 280 141 118 68 64 16 452
Valentina Bini Italy 13 271 1.0× 96 0.7× 110 0.9× 74 1.1× 72 1.1× 20 514
Stephanie A Carmack United States 11 333 1.2× 177 1.3× 107 0.9× 49 0.7× 103 1.6× 15 506
Mykel A. Robble United States 9 295 1.1× 143 1.0× 151 1.3× 69 1.0× 98 1.5× 12 533
Marcia Spoelder Netherlands 12 317 1.1× 150 1.1× 103 0.9× 91 1.3× 86 1.3× 24 567
Yolanda Peña‐Oliver United Kingdom 11 309 1.1× 174 1.2× 93 0.8× 46 0.7× 50 0.8× 14 448
Florence Allain Canada 11 373 1.3× 101 0.7× 166 1.4× 76 1.1× 76 1.2× 16 478
Zackary A. Cope United States 14 265 0.9× 156 1.1× 127 1.1× 101 1.5× 52 0.8× 21 441
Bryan F. Singer United States 10 379 1.4× 185 1.3× 148 1.3× 83 1.2× 61 1.0× 24 551
Gaëlle Augier Sweden 9 360 1.3× 158 1.1× 148 1.3× 49 0.7× 79 1.2× 10 587
Naozumi Araragi Germany 7 196 0.7× 67 0.5× 101 0.9× 85 1.3× 72 1.1× 9 403

Countries citing papers authored by Mahesh Darna

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Darna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Darna

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Darna. A scholar is included among the top collaborators of Mahesh Darna 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 Mahesh Darna. Mahesh Darna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Richter, Karin, et al.. (2017). VGLUT1 Binding to Endophilin or Intersectin1 and Dynamin Phosphorylation in a Diurnal Context. Neuroscience. 371. 29–37. 6 indexed citations
2.
Marusich, Julie A., Mahesh Darna, A. George Wilson, et al.. (2017). Tobacco's minor alkaloids: Effects on place conditioning and nucleus accumbens dopamine release in adult and adolescent rats. European Journal of Pharmacology. 814. 196–206. 11 indexed citations
3.
Chow, Jonathan J., Justin R. Nickell, Mahesh Darna, & Joshua S. Beckmann. (2016). Toward isolating the role of dopamine in the acquisition of incentive salience attribution. Neuropharmacology. 109. 320–331. 28 indexed citations
4.
Yates, Justin R., Mahesh Darna, Cassandra D. Gipson, Linda P. Dwoskin, & Michael T. Bardo. (2015). Dissociable roles of dopamine and serotonin transporter function in a rat model of negative urgency. Behavioural Brain Research. 291. 201–208. 13 indexed citations
5.
Yates, Justin R., Mahesh Darna, Joshua S. Beckmann, Linda P. Dwoskin, & Michael T. Bardo. (2015). Individual differences in impulsive action and dopamine transporter function in rat orbitofrontal cortex. Neuroscience. 313. 122–129. 20 indexed citations
6.
Darna, Mahesh, Jonathan J. Chow, Justin R. Yates, et al.. (2015). Role of serotonin transporter function in rat orbitofrontal cortex in impulsive choice. Behavioural Brain Research. 293. 134–142. 21 indexed citations
7.
Lee, Nara, Xuan Zhang, Mahesh Darna, Linda P. Dwoskin, & Guangrong Zheng. (2015). Muscarinic acetylcholine receptor binding affinities of pethidine analogs. Bioorganic & Medicinal Chemistry Letters. 25(22). 5032–5035. 1 indexed citations
8.
Hofford, Rebecca S., et al.. (2014). Environmental enrichment reduces methamphetamine cue-induced reinstatement but does not alter methamphetamine reward or VMAT2 function. Behavioural Brain Research. 270. 151–158. 34 indexed citations
9.
Darna, Mahesh, Joshua S. Beckmann, Cassandra D. Gipson, Michael T. Bardo, & Linda P. Dwoskin. (2014). Effect of environmental enrichment on dopamine and serotonin transporters and glutamate neurotransmission in medial prefrontal and orbitofrontal cortex. Brain Research. 1599. 115–125. 42 indexed citations
10.
Somkuwar, Sucharita S., Mahesh Darna, Kathleen M. Kantak, & Linda P. Dwoskin. (2013). Adolescence methylphenidate treatment in a rodent model of attention deficit/hyperactivity disorder: Dopamine transporter function and cellular distribution in adulthood. Biochemical Pharmacology. 86(2). 309–316. 32 indexed citations
11.
Yates, Justin R., Mahesh Darna, Cassandra D. Gipson, Linda P. Dwoskin, & Michael T. Bardo. (2012). Isolation rearing as a preclinical model of attention/deficit-hyperactivity disorder. Behavioural Brain Research. 234(2). 292–298. 12 indexed citations
12.
Marusich, Julie A., Mahesh Darna, Richard Charnigo, Linda P. Dwoskin, & Michael T. Bardo. (2011). A multivariate assessment of individual differences in sensation seeking and impulsivity as predictors of amphetamine self-administration and prefrontal dopamine function in rats.. Experimental and Clinical Psychopharmacology. 19(4). 275–284. 30 indexed citations
13.
Perry, Jennifer L., Jane E. Joseph, Yang Jiang, et al.. (2010). Prefrontal cortex and drug abuse vulnerability: Translation to prevention and treatment interventions. Brain Research Reviews. 65(2). 124–149. 134 indexed citations
14.
Darna, Mahesh, Isabelle Schmutz, Karin Richter, et al.. (2008). Time of Day-dependent Sorting of the Vesicular Glutamate Transporter to the Plasma Membrane. Journal of Biological Chemistry. 284(7). 4300–4307. 25 indexed citations
15.
Yelamanchili, Sowmya V., Gurudutt Pendyala, Irene Brunk, et al.. (2006). Differential Sorting of the Vesicular Glutamate Transporter 1 into a Defined Vesicular Pool Is Regulated by Light Signaling Involving the Clock Gene Period2. Journal of Biological Chemistry. 281(23). 15671–15679. 37 indexed citations
16.
Cotella, Diego, Norbert Jost, Mahesh Darna, et al.. (2005). Silencing the cardiac potassium channel Kv4.3 by RNA interference in a CHO expression system. Biochemical and Biophysical Research Communications. 330(2). 555–560. 6 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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