Caitlin V. Cosme

542 total citations
9 papers, 392 citations indexed

About

Caitlin V. Cosme is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Caitlin V. Cosme has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Caitlin V. Cosme's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Caitlin V. Cosme is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Caitlin V. Cosme collaborates with scholars based in United States, France and Germany. Caitlin V. Cosme's co-authors include Ryan T. LaLumiere, Jason J. Radley, John A. Wemmie, Yuan Lü, Jianyang Du, Levi P. Sowers, Collin J. Kreple, Michael J. Welsh, Madeliene Stump and Rebecca J. Taugher and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Current Biology.

In The Last Decade

Caitlin V. Cosme

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caitlin V. Cosme United States	8	241	212	154	41	36	9	392
David J. Ottenheimer United States	9	236 1.0×	120 0.6×	181 1.2×	32 0.8×	24 0.7×	14	362
Rita Gálosi Hungary	13	197 0.8×	114 0.5×	89 0.6×	57 1.4×	26 0.7×	30	329
Mariana Leriche Mexico	9	201 0.8×	98 0.5×	116 0.8×	31 0.8×	20 0.6×	11	302
Henrike Hartung United Kingdom	12	401 1.7×	256 1.2×	148 1.0×	38 0.9×	32 0.9×	15	615
Tanya Weerakkody United States	2	188 0.8×	116 0.5×	113 0.7×	47 1.1×	12 0.3×	2	312
Michelle R. Breier United States	15	257 1.1×	137 0.6×	128 0.8×	52 1.3×	12 0.3×	22	430
Daniel Eskenazi United States	5	314 1.3×	174 0.8×	127 0.8×	38 0.9×	10 0.3×	6	394
Tomoko Isosaka Japan	9	161 0.7×	107 0.5×	90 0.6×	49 1.2×	31 0.9×	10	313
Kayo Nishizawa Japan	11	292 1.2×	135 0.6×	215 1.4×	24 0.6×	16 0.4×	18	420
Leticia Ramı́rez-Lugo Mexico	12	309 1.3×	117 0.6×	252 1.6×	34 0.8×	96 2.7×	19	481

Countries citing papers authored by Caitlin V. Cosme

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin V. Cosme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin V. Cosme. 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 Caitlin V. Cosme. The network helps show where Caitlin V. Cosme may publish in the future.

Co-authorship network of co-authors of Caitlin V. Cosme

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

All Works

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9 of 9 papers shown

Cosme, Caitlin V., et al.. (2024). Insular cortex subregions have distinct roles in cued heroin seeking after extinction learning and prolonged withdrawal in rats. Neuropsychopharmacology. 49(10). 1540–1549. 7 indexed citations

Seiler, Jillian L., et al.. (2022). Dopamine signaling in the dorsomedial striatum promotes compulsive behavior. Current Biology. 32(5). 1175–1188.e5. 40 indexed citations

Cosme, Caitlin V., et al.. (2018). Overexpression of ASIC1A in the nucleus accumbens of rats potentiates cocaine‐seeking behavior. Addiction Biology. 25(2). e12690–e12690. 11 indexed citations

Cosme, Caitlin V., et al.. (2017). Extinction of Cocaine Seeking Requires a Window of Infralimbic Pyramidal Neuron Activity after Unreinforced Lever Presses. Journal of Neuroscience. 37(25). 6075–6086. 33 indexed citations

Cosme, Caitlin V., et al.. (2016). The infralimbic and prelimbic cortices contribute to the inhibitory control of cocaine‐seeking behavior during a discriminative stimulus task in rats. Addiction Biology. 22(6). 1719–1730. 25 indexed citations

Cosme, Caitlin V., et al.. (2016). D1, but not D2, receptor blockade within the infralimbic and medial orbitofrontal cortex impairs cocaine seeking in a region‐specific manner. Addiction Biology. 23(1). 16–27. 18 indexed citations

Radley, Jason J., Rachel M. Anderson, Caitlin V. Cosme, et al.. (2015). The Contingency of Cocaine Administration Accounts for Structural and Functional Medial Prefrontal Deficits and Increased Adrenocortical Activation. Journal of Neuroscience. 35(34). 11897–11910. 45 indexed citations

Cosme, Caitlin V., et al.. (2015). The Dorsal Agranular Insular Cortex Regulates the Cued Reinstatement of Cocaine-Seeking, but not Food-Seeking, Behavior in Rats. Neuropsychopharmacology. 40(10). 2425–2433. 55 indexed citations

Kreple, Collin J., Yuan Lü, Rebecca J. Taugher, et al.. (2014). Acid-sensing ion channels contribute to synaptic transmission and inhibit cocaine-evoked plasticity. Nature Neuroscience. 17(8). 1083–1091. 158 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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