David Pleasure

20 total papers · 793 total citations
19 papers, 694 citations indexed

About

David Pleasure is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, David Pleasure has authored 19 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Developmental Neuroscience and 6 papers in Molecular Biology. Recurrent topics in David Pleasure's work include Nerve injury and regeneration (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Hereditary Neurological Disorders (3 papers). David Pleasure is often cited by papers focused on Nerve injury and regeneration (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Hereditary Neurological Disorders (3 papers). David Pleasure collaborates with scholars based in United States, Japan and Italy. David Pleasure's co-authors include Gen Sobue, Judith B. Grinspan, Barbara Franceschini, Peter Bannerman, Alonzo H. Ross, A. Hodson, Usha R. Reddy, Takeshi Yasuda, Terunori Mitsuma and Gen Sobue and has published in prestigious journals such as Annals of Neurology, Brain Research and Experimental Neurology.

In The Last Decade

David Pleasure

18 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
David Pleasure	370	322	206	88	75	19	694
Usha R. Reddy	349 0.9×	431 1.3×	151 0.7×	109 1.2×	58 0.8×	22	702
Perrine Gaub	362 1.0×	424 1.3×	228 1.1×	56 0.6×	54 0.7×	14	759
Diego J. Rodriguez‐Gil	263 0.7×	258 0.8×	139 0.7×	81 0.9×	53 0.7×	18	785
Reiner Westermann	265 0.7×	343 1.1×	113 0.5×	62 0.7×	77 1.0×	23	718
Florentia Papastefanaki	399 1.1×	301 0.9×	228 1.1×	74 0.8×	38 0.5×	19	775
C.J. Emmett	336 0.9×	264 0.8×	198 1.0×	44 0.5×	53 0.7×	15	654
Konstantin Feinberg	469 1.3×	313 1.0×	236 1.1×	101 1.1×	59 0.8×	15	735
Laetitia Prestoz	364 1.0×	278 0.9×	344 1.7×	65 0.7×	37 0.5×	20	699
Brian A. Pierchala	362 1.0×	373 1.2×	181 0.9×	42 0.5×	69 0.9×	33	773
Felicia Yu Hsuan Teng	343 0.9×	335 1.0×	200 1.0×	42 0.5×	91 1.2×	20	700

Countries citing papers authored by David Pleasure

Since Specialization

Citations

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

Fields of papers citing papers by David Pleasure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pleasure

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