Philip A. Barish

765 total citations
8 papers, 619 citations indexed

About

Philip A. Barish is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Social Psychology. According to data from OpenAlex, Philip A. Barish has authored 8 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Behavioral Neuroscience and 2 papers in Social Psychology. Recurrent topics in Philip A. Barish's work include Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (3 papers) and Nerve injury and regeneration (3 papers). Philip A. Barish is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (3 papers) and Nerve injury and regeneration (3 papers). Philip A. Barish collaborates with scholars based in United States and China. Philip A. Barish's co-authors include Ying Xu, William O. Ogle, Jianchun Pan, Bao‐Shan Ku, Thomas C. Foster, Li Cui, Xue-Jun Li, Wenting You, Shan Li and Xiuhua Zhang and has published in prestigious journals such as Brain Research, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Philip A. Barish

8 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip A. Barish United States	8	159	158	152	148	138	8	619
Yao Haiyan China	7	253 1.6×	195 1.2×	266 1.8×	153 1.0×	149 1.1×	12	775
Xing Ma China	10	270 1.7×	204 1.3×	267 1.8×	161 1.1×	143 1.0×	12	789
Sadia Sadir Pakistan	13	175 1.1×	102 0.6×	73 0.5×	259 1.8×	184 1.3×	23	805
Laraib Liaquat Pakistan	13	187 1.2×	112 0.7×	80 0.5×	296 2.0×	197 1.4×	26	878
Yingcong Yu China	13	140 0.9×	128 0.8×	44 0.3×	181 1.2×	190 1.4×	22	644
Renata Giacomeli Brazil	10	86 0.5×	143 0.9×	54 0.4×	134 0.9×	113 0.8×	13	517
Luli R. Akinfiresoye United States	10	314 2.0×	282 1.8×	79 0.5×	122 0.8×	129 0.9×	19	737
Bao‐Shan Ku China	12	332 2.1×	261 1.7×	367 2.4×	227 1.5×	268 1.9×	18	1.2k
Eun‐Sang Hwang South Korea	16	131 0.8×	72 0.5×	53 0.3×	146 1.0×	152 1.1×	28	772
Jogender Mehla India	21	303 1.9×	75 0.5×	132 0.9×	331 2.2×	265 1.9×	39	1.3k

Countries citing papers authored by Philip A. Barish

Since Specialization

Citations

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

Fields of papers citing papers by Philip A. Barish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip A. Barish

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

All Works

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8 of 8 papers shown

Barish, Philip A., Ying Xu, Jianxin Li, et al.. (2013). Design and functional evaluation of an optically active μ-opioid receptor. European Journal of Pharmacology. 705(1-3). 42–48. 24 indexed citations

Xu, Ying, Jianchun Pan, Ling Chen, et al.. (2011). Curcumin prevents corticosterone‐induced neurotoxicity and abnormalities of neuroplasticity via 5‐HT receptor pathway. Journal of Neurochemistry. 118(5). 784–795. 33 indexed citations

Xu, Ying, Philip A. Barish, Jianchun Pan, William O. Ogle, & James M. O’Donnell. (2011). Animal Models of Depression and Neuroplasticity: Assessing Drug Action in Relation to Behavior and Neurogenesis. Methods in molecular biology. 829. 103–124. 19 indexed citations

Xu, Ying, Chao Zhang, Subramaniam S. Govindarajan, et al.. (2011). Corticosterone induced morphological changes of hippocampal and amygdaloid cell lines are dependent on 5-HT7 receptor related signal pathway. Neuroscience. 182. 71–81. 28 indexed citations

Xu, Ying, Zhichao Wang, Wenting You, et al.. (2010). Antidepressant-like effect of trans-resveratrol: Involvement of serotonin and noradrenaline system. European Neuropsychopharmacology. 20(6). 405–413. 144 indexed citations

Xu, Ying, Shan Li, Ruijie Chen, et al.. (2009). Antidepressant-like effect of low molecular proanthocyanidin in mice: Involvement of monoaminergic system. Pharmacology Biochemistry and Behavior. 94(3). 447–453. 51 indexed citations

Xu, Ying, Dan Lin, Shan Li, et al.. (2009). Curcumin reverses impaired cognition and neuronal plasticity induced by chronic stress. Neuropharmacology. 57(4). 463–471. 96 indexed citations

Xu, Ying, Bao‐Shan Ku, Li Cui, et al.. (2007). Curcumin reverses impaired hippocampal neurogenesis and increases serotonin receptor 1A mRNA and brain-derived neurotrophic factor expression in chronically stressed rats. Brain Research. 1162. 9–18. 224 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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