Dilip Verma

515 total citations
21 papers, 413 citations indexed

About

Dilip Verma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Dilip Verma has authored 21 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 8 papers in Social Psychology. Recurrent topics in Dilip Verma's work include Neuropeptides and Animal Physiology (9 papers), Neuroendocrine regulation and behavior (8 papers) and Receptor Mechanisms and Signaling (7 papers). Dilip Verma is often cited by papers focused on Neuropeptides and Animal Physiology (9 papers), Neuroendocrine regulation and behavior (8 papers) and Receptor Mechanisms and Signaling (7 papers). Dilip Verma collaborates with scholars based in Austria, Australia and Germany. Dilip Verma's co-authors include Ramon Tasan, Günther Sperk, Herbert Herzog, James Wood, Gilliard Lach, Thereza Christina Monteiro de Lima, Subrata Basu Ray, Pascal Bonaventure, Shashi Wadhwa and Hans‐Christian Pape and has published in prestigious journals such as Brain Research, British Journal of Pharmacology and Neuropsychopharmacology.

In The Last Decade

Dilip Verma

21 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilip Verma Austria 11 250 141 123 95 93 21 413
Sónia Borges Portugal 11 194 0.8× 116 0.8× 97 0.8× 108 1.1× 109 1.2× 12 425
Nathan A. Holtz United States 12 232 0.9× 90 0.6× 98 0.8× 67 0.7× 78 0.8× 18 401
Joanne M. Valone United States 7 305 1.2× 94 0.7× 146 1.2× 115 1.2× 127 1.4× 9 474
M. A. Gingras Netherlands 10 291 1.2× 156 1.1× 86 0.7× 66 0.7× 111 1.2× 10 432
Katherine A. Boss-Williams United States 13 287 1.1× 121 0.9× 108 0.9× 75 0.8× 148 1.6× 21 493
Brittany M. Navarre United States 9 286 1.1× 85 0.6× 131 1.1× 132 1.4× 158 1.7× 15 467
Catherine E. Sykes United States 8 167 0.7× 92 0.7× 126 1.0× 87 0.9× 73 0.8× 9 420
Heather B. Madsen Australia 14 275 1.1× 136 1.0× 112 0.9× 206 2.2× 80 0.9× 20 506
Daniel W. Bloodgood United States 7 279 1.1× 127 0.9× 67 0.5× 182 1.9× 120 1.3× 7 409
Thomas N. Greenwell United States 10 345 1.4× 188 1.3× 52 0.4× 98 1.0× 100 1.1× 12 491

Countries citing papers authored by Dilip Verma

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip Verma

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

All Works

20 of 20 papers shown
1.
Gupta, Suraksha, et al.. (2025). Metaverse for digital health solutions. International Journal of Information Management. 83. 102869–102869. 3 indexed citations
2.
3.
Verma, Dilip, Ramon Tasan, Günther Sperk, & Hans‐Christian Pape. (2018). Neuropeptide Y2 receptors in anteroventral BNST control remote fear memory depending on extinction training. Neurobiology of Learning and Memory. 149. 144–153. 13 indexed citations
4.
Verma, Dilip, et al.. (2018). Single stimulation of Y2 receptors in BNSTav facilitates extinction and dampens reinstatement of fear. Psychopharmacology. 236(1). 281–291. 8 indexed citations
5.
Verma, Dilip, et al.. (2018). Hippocampal NPY Y2 receptors modulate memory depending on emotional valence and time. Neuropharmacology. 143(2). 20–28. 21 indexed citations
6.
Verma, Dilip, Kathrin Bellmann‐Sickert, Annette G. Beck‐Sickinger, et al.. (2016). Pancreatic polypeptide and its central Y4receptors are essential for cued fear extinction and permanent suppression of fear. British Journal of Pharmacology. 173(12). 1925–1938. 14 indexed citations
7.
Tasan, Ramon, Dilip Verma, James Wood, et al.. (2015). The role of Neuropeptide Y in fear conditioning and extinction. Neuropeptides. 55. 111–126. 94 indexed citations
8.
Verma, Dilip, James Wood, Gilliard Lach, et al.. (2015). Hunger Promotes Fear Extinction by Activation of an Amygdala Microcircuit. Neuropsychopharmacology. 41(2). 431–439. 51 indexed citations
9.
Verma, Dilip, James Wood, Gilliard Lach, et al.. (2015). NPY Y2 receptors in the central amygdala reduce cued but not contextual fear. Neuropharmacology. 99. 665–674. 26 indexed citations
10.
Wood, James, Dilip Verma, Gilliard Lach, et al.. (2015). Structure and function of the amygdaloid NPY system: NPY Y2 receptors regulate excitatory and inhibitory synaptic transmission in the centromedial amygdala. Brain Structure and Function. 221(7). 3373–3391. 46 indexed citations
11.
Verma, Dilip, Ramon Tasan, Herbert Herzog, & Günther Sperk. (2012). NPY controls fear conditioning and fear extinction by combined action on Y1 and Y2 receptors. British Journal of Pharmacology. 166(4). 1461–1473. 57 indexed citations
12.
Verma, Dilip, Ramon Tasan, Mario Mietzsch, et al.. (2011). Reduced fear conditioning after viral vector mediated neuropeptide Y administration into the basolateral amygdala. BMC Pharmacology. 11(S2). 1 indexed citations
13.
Tasan, Ramon, Dilip Verma, Herbert Herzog, & Günther Sperk. (2010). Neuropeptide Y in the basolateral amygdala modulates the acquisition of conditioned fear. BMC Pharmacology. 10(S1). 19 indexed citations
14.
Verma, Dilip, Ramon Tasan, Herbert Herzog, & Günther Sperk. (2009). The role of NPY in expression and extinction of conditioned fear. BMC Pharmacology. 9(S2). 1 indexed citations
15.
Ray, Subrata Basu, P Mishra, Dilip Verma, Ankur Gupta, & Shashi Wadhwa. (2008). Nimodipine is more effective than nifedipine in attenuating morphine tolerance on chronic co-administration in the rat tail-flick test.. PubMed. 46(4). 219–28. 12 indexed citations
16.
Verma, Dilip, Yogendra Kumar Gupta, Akhil Parashar, & Subrata Basu Ray. (2008). Differential expression of L- and N-type voltage-sensitive calcium channels in the spinal cord of morphine+nimodipine treated rats. Brain Research. 1249. 128–134. 16 indexed citations
17.
18.
Verma, Dilip, Subrata Basu Ray, Ishan Patro, & Shashi Wadhwa. (2005). Enhanced analgesic effect of morphine-nimodipine combination after intraspinal administration as compared to systemic administration in mice. Journal of Biosciences. 30(4). 491–497. 6 indexed citations
19.
Ray, Subrata Basu, Dilip Verma, & Shashi Wadhwa. (2005). Acute analgesic effect of loperamide as compared to morphine after intrathecal administration in rat.. PubMed. 43(5). 425–9. 7 indexed citations
20.
Sc, Gupta, et al.. (1999). The 5HT3 receptors and the descending nociceptive pathway--a review.. PubMed. 15(3). 247–58. 3 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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