Philip Gaskin

427 total citations
7 papers, 276 citations indexed

About

Philip Gaskin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biological Psychiatry. According to data from OpenAlex, Philip Gaskin has authored 7 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Biological Psychiatry. Recurrent topics in Philip Gaskin's work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Stress Responses and Cortisol (2 papers). Philip Gaskin is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Stress Responses and Cortisol (2 papers). Philip Gaskin collaborates with scholars based in United Kingdom, United States and Japan. Philip Gaskin's co-authors include Laith Alexander, Angela Roberts, K.C.F. Fone, S P H Alexander, Young T. Hong, Tim D. Fryer, Hannah F. Clarke, Stephen J. Sawiak, Gemma J. Cockcroft and Maria Toledo‐Rodriguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Philip Gaskin

7 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Gaskin United Kingdom	7	116	96	56	53	53	7	276
Aaron Tan United States	4	142 1.2×	120 1.3×	30 0.5×	47 0.9×	40 0.8×	4	324
Esteban C. Loetz United States	8	96 0.8×	109 1.1×	50 0.9×	32 0.6×	84 1.6×	13	306
Joyce Wang United States	5	213 1.8×	158 1.6×	60 1.1×	61 1.2×	96 1.8×	5	384
Suzy Tamie Niigaki Brazil	7	143 1.2×	159 1.7×	41 0.7×	40 0.8×	45 0.8×	7	345
Carolina Piletti Chatain Germany	5	85 0.7×	100 1.0×	46 0.8×	35 0.7×	54 1.0×	6	304
Daniela L. Uliana Brazil	11	100 0.9×	156 1.6×	55 1.0×	58 1.1×	86 1.6×	24	318
Yuxiu Shi China	14	100 0.9×	76 0.8×	34 0.6×	90 1.7×	159 3.0×	18	344
Christine Luckhart Canada	4	52 0.4×	129 1.3×	55 1.0×	66 1.2×	67 1.3×	4	300
Caesar M. Hernandez United States	13	130 1.1×	137 1.4×	55 1.0×	37 0.7×	86 1.6×	20	401
A.W. Hollais Brazil	11	130 1.1×	217 2.3×	32 0.6×	32 0.6×	25 0.5×	20	357

Countries citing papers authored by Philip Gaskin

Since Specialization

Citations

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

Fields of papers citing papers by Philip Gaskin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Gaskin

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

All Works

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7 of 7 papers shown

Fradley, Rosa, David J. Miller, Sarah Almond, et al.. (2023). Luvadaxistat: A Novel Potent and Selective d-Amino Acid Oxidase Inhibitor Improves Cognitive and Social Deficits in Rodent Models for Schizophrenia. Neurochemical Research. 48(10). 3027–3041. 14 indexed citations

Schiffer, Hans H., Holger Monenschein, Josephine M. Atienza, et al.. (2021). Discovery of TAK-041: a Potent and Selective GPR139 Agonist Explored for the Treatment of Negative Symptoms Associated with Schizophrenia. Journal of Medicinal Chemistry. 64(15). 11527–11542. 24 indexed citations

Horst, Nicole K., Ken Koda, Philip Gaskin, et al.. (2020). Ventromedial prefrontal area 14 provides opposing regulation of threat and reward-elicited responses in the common marmoset. Proceedings of the National Academy of Sciences. 117(40). 25116–25127. 18 indexed citations

Alexander, Laith, Christian M. Wood, Philip Gaskin, et al.. (2020). Over-activation of primate subgenual cingulate cortex enhances the cardiovascular, behavioral and neural responses to threat. Nature Communications. 11(1). 5386–5386. 59 indexed citations

Alexander, Laith, Philip Gaskin, Stephen J. Sawiak, et al.. (2018). Fractionating Blunted Reward Processing Characteristic of Anhedonia by Over-Activating Primate Subgenual Anterior Cingulate Cortex. Neuron. 101(2). 307–320.e6. 93 indexed citations

Gaskin, Philip, Maria Toledo‐Rodriguez, S P H Alexander, & K.C.F. Fone. (2016). Down-Regulation of Hippocampal Genes Regulating Dopaminergic, GABAergic, and Glutamatergic Function Following Combined Neonatal Phencyclidine and Post-Weaning Social Isolation of Rats as a Neurodevelopmental Model for Schizophrenia. The International Journal of Neuropsychopharmacology. 19(11). pyw062–pyw062. 31 indexed citations

Gaskin, Philip, S P H Alexander, & K.C.F. Fone. (2014). Neonatal phencyclidine administration and post-weaning social isolation as a dual-hit model of ‘schizophrenia-like’ behaviour in the rat. Psychopharmacology. 231(12). 2533–2545. 37 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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