Brendan J. Tunstall

1.4k total citations
39 papers, 985 citations indexed

About

Brendan J. Tunstall is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Brendan J. Tunstall has authored 39 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 11 papers in Social Psychology. Recurrent topics in Brendan J. Tunstall's work include Neurotransmitter Receptor Influence on Behavior (24 papers), Neuroendocrine regulation and behavior (11 papers) and Stress Responses and Cortisol (10 papers). Brendan J. Tunstall is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (24 papers), Neuroendocrine regulation and behavior (11 papers) and Stress Responses and Cortisol (10 papers). Brendan J. Tunstall collaborates with scholars based in United States, Italy and Australia. Brendan J. Tunstall's co-authors include David N. Kearns, Leandro F. Vendruscolo, George F. Koob, Lorenzo Leggio, Lia J. Zallar, Stephanie A Carmack, Mehdi Farokhnia, Renata C.N. Marchette, Janaina C. M. Vendruscolo and Mary R. Lee and has published in prestigious journals such as Journal of Neuroscience, PLoS Biology and Science Advances.

In The Last Decade

Brendan J. Tunstall

38 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan J. Tunstall United States 22 598 257 229 229 203 39 985
Michael E. Nizhnikov United States 22 516 0.9× 164 0.6× 263 1.1× 208 0.9× 100 0.5× 52 1.1k
Melissa A. Herman United States 20 830 1.4× 351 1.4× 219 1.0× 207 0.9× 370 1.8× 44 1.5k
Kelly J. Clemens Australia 20 891 1.5× 377 1.5× 183 0.8× 170 0.7× 364 1.8× 43 1.4k
Yuval Silberman United States 19 674 1.1× 244 0.9× 213 0.9× 115 0.5× 310 1.5× 45 1.0k
Jasmine Yap United States 12 777 1.3× 241 0.9× 369 1.6× 141 0.6× 275 1.4× 13 1.2k
Elena Krstew Australia 23 580 1.0× 331 1.3× 104 0.5× 400 1.7× 342 1.7× 37 1.3k
Scott A. Chen United States 13 935 1.6× 425 1.7× 145 0.6× 91 0.4× 279 1.4× 15 1.3k
Simon N. Katner United States 21 1.1k 1.8× 492 1.9× 116 0.5× 143 0.6× 369 1.8× 41 1.5k
Sunila G Nair United States 18 798 1.3× 268 1.0× 190 0.8× 276 1.2× 497 2.4× 31 1.2k
Angelo Blasio United States 16 403 0.7× 227 0.9× 139 0.6× 181 0.8× 116 0.6× 22 938

Countries citing papers authored by Brendan J. Tunstall

Since Specialization
Citations

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

Fields of papers citing papers by Brendan J. Tunstall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan J. Tunstall. 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 Brendan J. Tunstall. The network helps show where Brendan J. Tunstall may publish in the future.

Co-authorship network of co-authors of Brendan J. Tunstall

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan J. Tunstall. A scholar is included among the top collaborators of Brendan J. Tunstall 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 Brendan J. Tunstall. Brendan J. Tunstall 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.
Tunstall, Brendan J., et al.. (2024). Analgesic effect of oxytocin in alcohol-dependent male and female rats. Alcohol. 123. 27–38. 2 indexed citations
2.
Tunstall, Brendan J., et al.. (2023). Intermittent access cocaine self-administration produces context-specific escalation and increased motivation. Drug and Alcohol Dependence. 245. 109797–109797.
3.
4.
Tunstall, Brendan J., et al.. (2022). Intermittent access training produces greater motivation for a non-drug reinforcer than long access training. Learning & Behavior. 50(4). 509–523. 5 indexed citations
5.
Farokhnia, Mehdi, Lia J. Zallar, Zhi‐Bing You, et al.. (2021). A closer look at alcohol‐induced changes in the ghrelin system: novel insights from preclinical and clinical data. Addiction Biology. 27(1). e13033–e13033. 23 indexed citations
6.
Madangopal, Rajtarun, Leslie A. Ramsey, Sophia J. Weber, et al.. (2021). Inactivation of the infralimbic cortex decreases discriminative stimulus-controlled relapse to cocaine seeking in rats. Neuropsychopharmacology. 46(11). 1969–1980. 19 indexed citations
7.
Tunstall, Brendan J., et al.. (2021). Food-Seeking Behavior Is Mediated by Fos-Expressing Neuronal Ensembles Formed at First Learning in Rats. eNeuro. 8(2). ENEURO.0373–20.2021. 10 indexed citations
8.
Marchette, Renata C.N., Brendan J. Tunstall, Leandro F. Vendruscolo, & Khaled Moussawi. (2021). Operant Vapor Self-administration in Mice. BIO-PROTOCOL. 11(10). e4023–e4023. 6 indexed citations
9.
Pantazis, Caroline B., et al.. (2021). Cues conditioned to withdrawal and negative reinforcement: Neglected but key motivational elements driving opioid addiction. Science Advances. 7(15). 43 indexed citations
10.
Marchette, Renata C.N., Brendan J. Tunstall, Shelley N. Jackson, et al.. (2021). κ-Opioid receptor antagonism reverses heroin withdrawal-induced hyperalgesia in male and female rats. Neurobiology of Stress. 14. 100325–100325. 18 indexed citations
11.
McGinn, M. Adrienne, Caroline B. Pantazis, Brendan J. Tunstall, et al.. (2021). Drug addiction co-morbidity with alcohol: Neurobiological insights. International review of neurobiology. 157. 409–472. 6 indexed citations
12.
Madangopal, Rajtarun, Brendan J. Tunstall, Sophia J. Weber, et al.. (2019). Discriminative stimuli are sufficient for incubation of cocaine craving. eLife. 8. 27 indexed citations
13.
Tunstall, Brendan J., Dean Kirson, Lia J. Zallar, et al.. (2019). Oxytocin blocks enhanced motivation for alcohol in alcohol dependence and blocks alcohol effects on GABAergic transmission in the central amygdala. PLoS Biology. 17(4). e2006421–e2006421. 76 indexed citations
14.
Vendruscolo, Janaina C. M., Brendan J. Tunstall, Stephanie A Carmack, et al.. (2017). Compulsive-Like Sufentanil Vapor Self-Administration in Rats. Neuropsychopharmacology. 43(4). 801–809. 38 indexed citations
15.
Zallar, Lia J., Mehdi Farokhnia, Brendan J. Tunstall, Leandro F. Vendruscolo, & Lorenzo Leggio. (2017). The Role of the Ghrelin System in Drug Addiction. International review of neurobiology. 136. 89–119. 75 indexed citations
16.
Tunstall, Brendan J. & Stephanie A Carmack. (2016). Social Stress-Induced Alterations in CRF Signaling in the VTA Facilitate the Emergence of Addiction-like Behavior. Journal of Neuroscience. 36(34). 8780–8782. 6 indexed citations
17.
Connolly, Nina P., et al.. (2015). A test of stress, cues, and re-exposure to large wins as potential reinstaters of suboptimal decision making in rats. Frontiers in Psychology. 6. 394–394. 5 indexed citations
18.
Tunstall, Brendan J. & David N. Kearns. (2014). Sign-tracking predicts increased choice of cocaine over food in rats. Behavioural Brain Research. 281. 222–228. 54 indexed citations
19.
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael E. Nizhnikov Breakdown of academic impact, for papers by Melissa A. Herman Breakdown of academic impact, for papers by Kelly J. Clemens Breakdown of academic impact, for papers by Yuval Silberman Breakdown of academic impact, for papers by Jasmine Yap Breakdown of academic impact, for papers by Elena Krstew Breakdown of academic impact, for papers by Scott A. Chen Breakdown of academic impact, for papers by Simon N. Katner Breakdown of academic impact, for papers by Sunila G Nair Breakdown of academic impact, for papers by Angelo Blasio
Rankless by CCL
2026