David L. Deupree

24 total papers · 806 total citations
20 papers, 683 citations indexed

About

David L. Deupree is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, David L. Deupree has authored 20 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in David L. Deupree's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). David L. Deupree is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). David L. Deupree collaborates with scholars based in United States and Taiwan. David L. Deupree's co-authors include Jennifer Bradley, Dennis A. Turner, Don L. Jewett, Sigmund Hsiao, X. W. Tang, D. Bommannan, Jingjing Wu, Yi‐Hsuan Lee, Jang‐Yen Wu and Lung‐Sen Kao and has published in prestigious journals such as Brain Research, Journal of Neurochemistry and Neurobiology of Aging.

In The Last Decade

David L. Deupree

20 papers receiving 667 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 L. Deupree 482 305 156 119 101 20 683
Kim David Ferrari 420 0.9× 300 1.0× 182 1.2× 259 2.2× 100 1.0× 13 755
Monika Liguz‐Lecznar 378 0.8× 235 0.8× 196 1.3× 125 1.1× 91 0.9× 30 681
Gustavo Morrone Parfitt 314 0.7× 196 0.6× 219 1.4× 72 0.6× 77 0.8× 24 668
Xiaoxing Zhang 319 0.7× 257 0.8× 168 1.1× 81 0.7× 46 0.5× 17 618
Xinming Wang 376 0.8× 270 0.9× 153 1.0× 97 0.8× 41 0.4× 24 712
Ting‐Jia Lu 375 0.8× 219 0.7× 270 1.7× 107 0.9× 53 0.5× 13 745
Wanpeng Cui 347 0.7× 138 0.5× 288 1.8× 101 0.8× 133 1.3× 19 748
Sonja Binder 271 0.6× 374 1.2× 130 0.8× 125 1.1× 98 1.0× 20 704
R. Ferres-Torres 409 0.8× 214 0.7× 142 0.9× 86 0.7× 72 0.7× 46 722
Keiko Tominaga‐Yoshino 414 0.9× 125 0.4× 225 1.4× 80 0.7× 72 0.7× 28 578

Countries citing papers authored by David L. Deupree

Since Specialization
Citations

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

Fields of papers citing papers by David L. Deupree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Deupree

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