Yaw Senyah

530 total citations
7 papers, 460 citations indexed

About

Yaw Senyah is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yaw Senyah has authored 7 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yaw Senyah's work include Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). Yaw Senyah is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). Yaw Senyah collaborates with scholars based in United States, Mexico and Israel. Yaw Senyah's co-authors include John H. Kehne, Timothy C. McCloskey, Barry W. Siegel, Jack Elands, P L van Giersbergen, Robert Frank, Marc Poirot, B M Baron, A A Carr and Deborah R. McCarty and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Psychopharmacology.

In The Last Decade

Yaw Senyah

7 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaw Senyah United States	6	372	199	70	65	59	7	460
Norbert Bonhomme France	8	409 1.1×	236 1.2×	50 0.7×	71 1.1×	52 0.9×	10	524
John J. Rutter United States	8	424 1.1×	171 0.9×	121 1.7×	50 0.8×	61 1.0×	10	499
M.C. Scorza Uruguay	5	362 1.0×	156 0.8×	84 1.2×	108 1.7×	84 1.4×	6	477
Esa-Pekka Pälvimäki Finland	11	295 0.8×	197 1.0×	78 1.1×	66 1.0×	31 0.5×	12	440
Manuelle Touzard France	11	452 1.2×	320 1.6×	65 0.9×	107 1.6×	49 0.8×	14	637
Nicola H. Allen United Kingdom	7	344 0.9×	210 1.1×	72 1.0×	49 0.8×	36 0.6×	7	500
Mark J. Benvenga United States	16	319 0.9×	194 1.0×	51 0.7×	67 1.0×	116 2.0×	28	552
M.A. Geyer United States	4	440 1.2×	204 1.0×	68 1.0×	107 1.6×	114 1.9×	12	544
Taiichiro Imanishi Japan	11	208 0.6×	168 0.8×	129 1.8×	47 0.7×	68 1.2×	17	422
Kim Y. Avenell United Kingdom	7	519 1.4×	357 1.8×	54 0.8×	65 1.0×	70 1.2×	8	686

Countries citing papers authored by Yaw Senyah

Since Specialization

Citations

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

Fields of papers citing papers by Yaw Senyah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaw Senyah

This figure shows the co-authorship network connecting the top 25 collaborators of Yaw Senyah. A scholar is included among the top collaborators of Yaw Senyah 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 Yaw Senyah. Yaw Senyah 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

Black, Mark D., Robert E. Featherstone, Yaw Senyah, et al.. (2010). AVE1625, a cannabinoid CB1 receptor antagonist, as a co-treatment with antipsychotics for schizophrenia: improvement in cognitive function and reduction of antipsychotic-side effects in rodents. Psychopharmacology. 215(1). 149–163. 41 indexed citations

Black, Mark D., et al.. (2002). Neonatal nitric oxide synthase inhibition: social interaction deficits in adulthood and reversal by antipsychotic drugs. Neuropharmacology. 42(3). 414–420. 29 indexed citations

Baron, Bruce M., Boyd L. Harrison, John H. Kehne, et al.. (1997). Pharmacological characterization of MDL 105,519, an NMDA receptor glycine site antagonist. European Journal of Pharmacology. 323(2-3). 181–192. 40 indexed citations

Kehne, John H., John M. Kane, Timothy C. McCloskey, et al.. (1997). Preclinical characterization of MDL 27,192 as a potential broad spectrum anticonvulsant agent with neuroprotective properties. Epilepsy Research. 27(1). 41–54. 13 indexed citations

Kehne, John H., B M Baron, A A Carr, et al.. (1996). Preclinical characterization of the potential of the putative atypical antipsychotic MDL 100,907 as a potent 5-HT2A antagonist with a favorable CNS safety profile.. Journal of Pharmacology and Experimental Therapeutics. 277(2). 968–981. 318 indexed citations

Kehne, John H., John M. Kane, Francis P. Miller, et al.. (1992). MDL 27,531 selectively reverses strychnine‐induced seizures in mice. British Journal of Pharmacology. 106(4). 910–916. 17 indexed citations

Kehne, John H., et al.. (1992). MDL 27,531 reduces spontaneous hindlimb contractions in rats with chronic transections of the spinal cord. Neuroscience Letters. 147(1). 101–105. 2 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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