Gary A. Pritchard

43 total papers · 990 total citations
33 papers, 740 citations indexed

About

Gary A. Pritchard is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Gary A. Pritchard has authored 33 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Gary A. Pritchard's work include Neuroscience and Neuropharmacology Research (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Memory and Neural Mechanisms (5 papers). Gary A. Pritchard is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Memory and Neural Mechanisms (5 papers). Gary A. Pritchard collaborates with scholars based in United States, United Kingdom and Australia. Gary A. Pritchard's co-authors include Lawrence G. Miller, David J. Greenblatt, Richard I. Shader, Jeanne M. Fahey, Robert E. Mansel, Dean Jones, Jerold S. Harmatz, Lisa L. von Moltke, Shuhuai Duan and Caroline Wright and has published in prestigious journals such as The Journal of Physical Chemistry, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Gary A. Pritchard

33 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
Gary A. Pritchard	207	169	150	127	111	33	740
M. L. Rao	143 0.7×	75 0.4×	268 1.8×	77 0.6×	47 0.4×	34	866
Mayumi Mizutani	133 0.6×	254 1.5×	246 1.6×	106 0.8×	50 0.5×	35	732
Rongrong Jiang	116 0.6×	100 0.6×	158 1.1×	86 0.7×	55 0.5×	30	713
Elvia Coballase-Urrutía	138 0.7×	80 0.5×	206 1.4×	48 0.4×	100 0.9×	30	702
Jesús Novalbos	73 0.4×	217 1.3×	161 1.1×	91 0.7×	92 0.8×	46	789
Wuping Sun	97 0.5×	51 0.3×	240 1.6×	98 0.8×	28 0.3×	53	904
C.‐J. Estler	211 1.0×	96 0.6×	265 1.8×	59 0.5×	30 0.3×	93	857
Grant L. Schoenhard	90 0.4×	145 0.9×	190 1.3×	101 0.8×	47 0.4×	35	763
Leonor Rivera‐Calimlim	164 0.8×	69 0.4×	101 0.7×	60 0.5×	93 0.8×	37	876
S. Sturman	136 0.7×	130 0.8×	168 1.1×	51 0.4×	31 0.3×	22	681

Countries citing papers authored by Gary A. Pritchard

Since Specialization

Citations

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

Fields of papers citing papers by Gary A. Pritchard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary A. Pritchard

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