Adam Kimbrough

748 total citations
26 papers, 401 citations indexed

About

Adam Kimbrough is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Adam Kimbrough has authored 26 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 6 papers in Physiology. Recurrent topics in Adam Kimbrough's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neural dynamics and brain function (4 papers). Adam Kimbrough is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neural dynamics and brain function (4 papers). Adam Kimbrough collaborates with scholars based in United States, Sweden and Italy. Adam Kimbrough's co-authors include Olivier George, Giordano de Guglielmo, Marsida Kallupi, Jenni Kononoff, Sierra Simpson, Andrés Collazo, Molly Brennan, Maury Cole, Sarah Kim and Lauren C. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Brain Research.

In The Last Decade

Adam Kimbrough

25 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Kimbrough United States 11 216 111 106 72 70 26 401
Nicholas J. Jury United States 8 225 1.0× 120 1.1× 94 0.9× 53 0.7× 50 0.7× 11 383
Rémi Legastelois France 11 289 1.3× 164 1.5× 78 0.7× 63 0.9× 33 0.5× 15 454
Lovisa Holm Sweden 10 200 0.9× 89 0.8× 64 0.6× 36 0.5× 106 1.5× 17 365
Janaina C. M. Vendruscolo United States 9 263 1.2× 106 1.0× 107 1.0× 83 1.2× 31 0.4× 14 509
Zuzana Babinská Czechia 12 202 0.9× 121 1.1× 38 0.4× 60 0.8× 109 1.6× 17 401
T. V. Ilchibaeva Russia 12 218 1.0× 101 0.9× 67 0.6× 83 1.2× 37 0.5× 39 409
Chelsea R. Kasten United States 12 205 0.9× 62 0.6× 59 0.6× 40 0.6× 109 1.6× 19 310
Zeeba D. Kabir United States 12 170 0.8× 183 1.6× 75 0.7× 33 0.5× 26 0.4× 12 422
Laura Cutando France 10 193 0.9× 76 0.7× 92 0.9× 43 0.6× 141 2.0× 12 381
Stacey L. Robinson United States 11 252 1.2× 123 1.1× 114 1.1× 54 0.8× 40 0.6× 17 386

Countries citing papers authored by Adam Kimbrough

Since Specialization
Citations

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

Fields of papers citing papers by Adam Kimbrough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Kimbrough

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Kimbrough. A scholar is included among the top collaborators of Adam Kimbrough 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 Adam Kimbrough. Adam Kimbrough 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.
Crodian, Jennifer, et al.. (2024). Temporal differential effects of post-injury alcohol consumption in a mouse model of blast-induced traumatic brain injury. Neuroscience. 562. 239–251. 1 indexed citations
2.
Kimbrough, Adam, et al.. (2024). Escalation of intravenous fentanyl self-administration and assessment of withdrawal behavior in male and female mice. Psychopharmacology. 242(6). 1419–1435. 1 indexed citations
3.
Chen, Yueyi, et al.. (2024). Sex differences in neural networks recruited by frontloaded binge alcohol drinking. Addiction Biology. 29(9). e13434–e13434. 2 indexed citations
4.
Carrette, Lieselot L. G., Adam Kimbrough, Pasha A. Davoudian, et al.. (2023). Hyperconnectivity of Two Separate Long-Range Cholinergic Systems Contributes to the Reorganization of the Brain Functional Connectivity during Nicotine Withdrawal in Male Mice. eNeuro. 10(6). ENEURO.0019–23.2023. 3 indexed citations
5.
6.
Ma, Zhixiong, Jingliang Zhang, Xiaoling Chen, et al.. (2022). Deficiency of autism-related Scn2a gene in mice disrupts sleep patterns and circadian rhythms. Neurobiology of Disease. 168. 105690–105690. 17 indexed citations
8.
Kimbrough, Adam, et al.. (2021). POS0801 VASCULITIS IN PATIENTS WITH SARCOIDOSIS: A SINGLE-INSTITUTION CASE SERIES OF 17 PATIENTS. Annals of the Rheumatic Diseases. 80. 652–653. 1 indexed citations
9.
Kimbrough, Adam, et al.. (2021). Pair Bond-Induced Affiliation and Aggression in Male Prairie Voles Elicit Distinct Functional Connectivity in the Social Decision-Making Network. Frontiers in Neuroscience. 15. 748431–748431. 6 indexed citations
10.
Simpson, Sierra, et al.. (2021). The Hidden Brain: Uncovering Previously Overlooked Brain Regions by Employing Novel Preclinical Unbiased Network Approaches. Frontiers in Systems Neuroscience. 15. 595507–595507. 10 indexed citations
11.
Kimbrough, Adam, Jenni Kononoff, Sierra Simpson, et al.. (2020). Oxycodone self-administration and withdrawal behaviors in male and female Wistar rats. Psychopharmacology. 237(5). 1545–1555. 42 indexed citations
12.
Simpson, Sierra, et al.. (2020). Role of corticotropin-releasing factor in alcohol and nicotine addiction. Brain Research. 1740. 146850–146850. 15 indexed citations
13.
Simpson, Sierra, et al.. (2020). Depletion of the Microbiome Alters the Recruitment of Neuronal Ensembles of Oxycodone Intoxication and Withdrawal. eNeuro. 7(3). ENEURO.0312–19.2020. 45 indexed citations
14.
George, Olivier, et al.. (2020). Chronic voluntary caffeine intake in male Wistar rats reveals individual differences in addiction-like behavior. Pharmacology Biochemistry and Behavior. 191. 172880–172880. 11 indexed citations
15.
Smith, Lauren C. & Adam Kimbrough. (2020). Leveraging Neural Networks in Preclinical Alcohol Research. Brain Sciences. 10(9). 578–578. 6 indexed citations
16.
Kimbrough, Adam & Thomas A. Houpt. (2019). Forty-eight hour conditioning produces a robust long lasting flavor preference in rats. Appetite. 139. 159–163. 3 indexed citations
18.
Kononoff, Jenni, Philippe A. Melas, Marsida Kallupi, et al.. (2018). Adolescent cannabinoid exposure induces irritability-like behavior and cocaine cross-sensitization without affecting the escalation of cocaine self-administration in adulthood. Scientific Reports. 8(1). 13893–13893. 21 indexed citations
19.
Kimbrough, Adam, Giordano de Guglielmo, Jenni Kononoff, et al.. (2017). CRF 1 Receptor‐Dependent Increases in Irritability‐Like Behavior During Abstinence from Chronic Intermittent Ethanol Vapor Exposure. Alcoholism Clinical and Experimental Research. 41(11). 1886–1895. 36 indexed citations
20.
Kimbrough, Adam, Bumsup Kwon, Lisa A. Eckel, & Thomas A. Houpt. (2011). Systemic 5-bromo-2-deoxyuridine induces conditioned flavor aversion and c-Fos in the visceral neuraxis. Learning & Memory. 18(5). 292–295. 4 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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