Kevin Snyder

744 total citations
23 papers, 546 citations indexed

About

Kevin Snyder is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kevin Snyder has authored 23 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Behavioral Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Kevin Snyder's work include Stress Responses and Cortisol (7 papers), Neuroendocrine regulation and behavior (5 papers) and Immunotoxicology and immune responses (3 papers). Kevin Snyder is often cited by papers focused on Stress Responses and Cortisol (7 papers), Neuroendocrine regulation and behavior (5 papers) and Immunotoxicology and immune responses (3 papers). Kevin Snyder collaborates with scholars based in United States, Japan and Denmark. Kevin Snyder's co-authors include Rita J. Valentino, Andre L. Curtis, Steven C. Leiser, Rebecca Han, Kile McFadden, Weiwen Wang, Mark Barry, Anubhuti Goel, Hey‐Kyoung Lee and Kogo Takamiya and has published in prestigious journals such as PLoS ONE, The Journal of Organic Chemistry and Chemistry - A European Journal.

In The Last Decade

Kevin Snyder

21 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Snyder United States 12 229 215 120 118 116 23 546
Jeffery N. Talbot United States 17 166 0.7× 158 0.7× 89 0.7× 139 1.2× 347 3.0× 28 724
Sylvie Raison France 12 166 0.7× 100 0.5× 102 0.8× 118 1.0× 74 0.6× 16 506
Eszter Sipos Hungary 12 150 0.7× 124 0.6× 153 1.3× 114 1.0× 104 0.9× 26 489
Sora Shin South Korea 12 289 1.3× 107 0.5× 98 0.8× 145 1.2× 217 1.9× 18 627
Juergen Gottowik Switzerland 11 93 0.4× 134 0.6× 48 0.4× 55 0.5× 85 0.7× 16 402
Stephen I. Deutsch United States 12 256 1.1× 85 0.4× 61 0.5× 76 0.6× 180 1.6× 17 482
Kohfuku Kohda Japan 13 170 0.7× 167 0.8× 79 0.7× 106 0.9× 305 2.6× 33 682
A. Korneyev United States 11 348 1.5× 203 0.9× 114 0.9× 64 0.5× 181 1.6× 17 609
Marco Orsetti Italy 15 308 1.3× 123 0.6× 85 0.7× 166 1.4× 290 2.5× 49 833
Rick E. Bernardi Germany 16 536 2.3× 221 1.0× 141 1.2× 305 2.6× 291 2.5× 44 948

Countries citing papers authored by Kevin Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Snyder. A scholar is included among the top collaborators of Kevin Snyder 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 Kevin Snyder. Kevin Snyder 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.
Carfagna, Mark A., et al.. (2024). Cross study analyses of SEND data: toxicity profile classification. Toxicological Sciences. 200(2). 277–286. 1 indexed citations
2.
Allen, David, Alexander Amberg, Lennart T. Anger, et al.. (2023). Toward implementing virtual control groups in nonclinical safety studies. ALTEX. 41(2). 282–301. 11 indexed citations
3.
Dodson, Andrew, et al.. (2022). Analysis of secondary pharmacology assays received by the US Food and Drug Administration. Journal of Pharmacological and Toxicological Methods. 117. 107205–107205. 10 indexed citations
4.
5.
Dodson, Andrew, et al.. (2021). Aggregation and analysis of secondary pharmacology data from investigational new drug submissions at the US Food and Drug Administration. Journal of Pharmacological and Toxicological Methods. 111. 107098–107098. 9 indexed citations
6.
McHugh, Leo, Kevin Snyder, & Thomas D. Yager. (2019). The effect of uncertainty in patient classification on diagnostic performance estimations. PLoS ONE. 14(5). e0217146–e0217146. 13 indexed citations
7.
Carfagna, Mark A., et al.. (2019). SEND harmonization & cross-study analysis: A proposal to better harvest the value from SEND data. Regulatory Toxicology and Pharmacology. 111. 104542–104542. 6 indexed citations
8.
Snyder, Kevin. (2019). The Role of Capabilities in Innovation AdoptionDecisions. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
9.
Maso, Michael J. Di, et al.. (2016). Diastereoselective Synthesis of and Mechanistic Understanding for the Formation of 2‐Piperidinones from Imines and Cyano‐Substituted Anhydrides. Chemistry - A European Journal. 22(14). 4794–4801. 18 indexed citations
10.
Snyder, Kevin, et al.. (2016). Sex Differences in μ-Opioid Receptor Regulation of the Rat Locus Coeruleus and Their Cognitive Consequences. Neuropsychopharmacology. 42(6). 1295–1304. 33 indexed citations
11.
Snyder, Kevin, Justyna Sikorska, Tao Ye, et al.. (2016). Towards theory driven structure elucidation of complex natural products: mandelalides and coibamide A. Organic & Biomolecular Chemistry. 14(24). 5826–5831. 15 indexed citations
12.
Snyder, Kevin, et al.. (2015). The impact of social stress during adolescence or adulthood and coping strategy on cognitive function of female rats. Behavioural Brain Research. 286. 175–183. 23 indexed citations
13.
Snyder, Kevin, Tiffany E. Hill‐Smith, Irwin Lucki, & Rita J. Valentino. (2015). Corticotropin-releasing Factor in the Rat Dorsal Raphe Nucleus Promotes Different Forms of Behavioral Flexibility Depending on Social Stress History. Neuropsychopharmacology. 40(11). 2517–2525. 17 indexed citations
14.
Snyder, Kevin, et al.. (2014). Repeated Social Stress Increases Reward Salience and Impairs Encoding of Prediction by Rat Locus Coeruleus Neurons. Neuropsychopharmacology. 40(2). 513–523. 15 indexed citations
15.
Snyder, Kevin, Mark Barry, & Rita J. Valentino. (2014). Cognitive impact of social stress and coping strategy throughout development. Psychopharmacology. 232(1). 185–195. 43 indexed citations
16.
Snyder, Kevin, et al.. (2012). Asymmetric total synthesis of (+)-sattazolin. Tetrahedron Letters. 54(2). 192–194. 9 indexed citations
17.
Goel, Anubhuti, Linda Xu, Kevin Snyder, et al.. (2011). Phosphorylation of AMPA Receptors Is Required for Sensory Deprivation-Induced Homeostatic Synaptic Plasticity. PLoS ONE. 6(3). e18264–e18264. 81 indexed citations
18.
Curtis, Andre L., Steven C. Leiser, Kevin Snyder, & Rita J. Valentino. (2011). Predator stress engages corticotropin-releasing factor and opioid systems to alter the operating mode of locus coeruleus norepinephrine neurons. Neuropharmacology. 62(4). 1737–1745. 97 indexed citations
19.
Mills, Peter K. & Kevin Snyder. (2009). Knowledge Services Management. 3 indexed citations
20.
Mills, Peter K. & Kevin Snyder. (2008). Knowledge Services Management: Organizing Around Internal Markets. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 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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