David N. Johnson

53 total papers · 785 total citations
37 papers, 660 citations indexed

About

David N. Johnson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, David N. Johnson has authored 37 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Organic Chemistry. Recurrent topics in David N. Johnson's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). David N. Johnson is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). David N. Johnson collaborates with scholars based in United States, United Kingdom and South Africa. David N. Johnson's co-authors include Richard Young, William H. Funderburk, Louis S. Harris, Katrin Böhning‐Gaese, Bärbel Bleher, William J. Welstead, Young S. Lo, A. A. Johnson, Suzanne G. Laychock and Milton Diamond and has published in prestigious journals such as Journal of Medicinal Chemistry, Psychopharmacology and European Journal of Pharmacology.

In The Last Decade

David N. Johnson

33 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
David N. Johnson 222 185 156 82 69 37 660
Andrey D. Volgin 99 0.4× 160 0.9× 33 0.2× 48 0.6× 88 1.3× 28 649
Tatiana O. Kolesnikova 131 0.6× 197 1.1× 30 0.2× 45 0.5× 96 1.4× 59 738
Anton M. Lakstygal 95 0.4× 160 0.9× 26 0.2× 29 0.4× 97 1.4× 20 580
John J. Brink 280 1.3× 306 1.7× 32 0.2× 45 0.5× 38 0.6× 27 774
Jack Pearl 278 1.3× 202 1.1× 331 2.1× 74 0.9× 39 0.6× 25 773
Nathana J. Mezzomo 129 0.6× 159 0.9× 15 0.1× 39 0.5× 81 1.2× 20 678
Rudolph H. Ehrensing 469 2.1× 203 1.1× 33 0.2× 60 0.7× 108 1.6× 25 775
Dan Widzowski 203 0.9× 177 1.0× 26 0.2× 73 0.9× 22 0.3× 28 576
José A. Ramos 247 1.1× 142 0.8× 102 0.7× 223 2.7× 13 0.2× 28 601
Marie‐Claire Rettori 188 0.8× 217 1.2× 217 1.4× 55 0.7× 82 1.2× 32 680

Countries citing papers authored by David N. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by David N. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Johnson

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