D. Murphy

10 total papers · 474 total citations
9 papers, 378 citations indexed

About

D. Murphy is a scholar working on Pharmacology, Computational Theory and Mathematics and Psychiatry and Mental health. According to data from OpenAlex, D. Murphy has authored 9 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Computational Theory and Mathematics and 3 papers in Psychiatry and Mental health. Recurrent topics in D. Murphy's work include Epilepsy research and treatment (3 papers), Computational Drug Discovery Methods (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). D. Murphy is often cited by papers focused on Epilepsy research and treatment (3 papers), Computational Drug Discovery Methods (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). D. Murphy collaborates with scholars based in Canada, United States and Singapore. D. Murphy's co-authors include K. M. Kutty, Prakash Kotagal, H. Lüders, Michael W.L. Chee, Paul C. Van Ness, Lisa A. Gragg, F H Gage, J Ray, P. Fontaine and Hans O. Lüders and has published in prestigious journals such as Journal of Neuroscience, Neurology and Cellular and Molecular Life Sciences.

In The Last Decade

D. Murphy

9 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
D. Murphy	191	130	86	84	81	9	378
Piotr Czapiński	182 1.0×	143 1.1×	117 1.4×	26 0.3×	25 0.3×	9	353
M Todorović	136 0.7×	215 1.7×	57 0.7×	52 0.6×	46 0.6×	14	361
Sarah Gourmaud	67 0.4×	111 0.9×	26 0.3×	52 0.6×	13 0.2×	11	383
Paulo Victor Pontes Araújo	97 0.5×	161 1.2×	50 0.6×	38 0.5×	19 0.2×	7	446
Valérie Leduc	62 0.3×	51 0.4×	17 0.2×	42 0.5×	23 0.3×	13	420
Otoni Cardoso do Vale	87 0.5×	165 1.3×	50 0.6×	27 0.3×	25 0.3×	16	432
Yangfeng Liu	57 0.3×	68 0.5×	22 0.3×	57 0.7×	31 0.4×	13	407
Holger Lehmann	74 0.4×	292 2.2×	25 0.3×	26 0.3×	78 1.0×	16	408
Franck Dhote	128 0.7×	176 1.4×	52 0.6×	53 0.6×	9 0.1×	7	332
Kushal Kumar	29 0.2×	112 0.9×	17 0.2×	82 1.0×	35 0.4×	11	420

Countries citing papers authored by D. Murphy

Since Specialization

Citations

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

Fields of papers citing papers by D. Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Murphy

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

All Works

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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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