David J. Estrin

10 total papers · 578 total citations
9 papers, 319 citations indexed

About

David J. Estrin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, David J. Estrin has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in David J. Estrin's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroendocrine regulation and behavior (3 papers). David J. Estrin is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroendocrine regulation and behavior (3 papers). David J. Estrin collaborates with scholars based in United States and United Kingdom. David J. Estrin's co-authors include Marisela Morales, David H. Root, David J. Barker, Shiliang Zhang, Jorge Miranda‐Barrientos, Bing Liu, M. Flavia Barbano, Christopher OʼBrien, Karl Deisseroth and Bing Liu and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

David J. Estrin

9 papers receiving 317 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 J. Estrin 218 136 101 63 40 9 319
Jing Xiong 185 0.8× 119 0.9× 120 1.2× 50 0.8× 42 1.1× 11 361
Ivan Trujillo‐Pisanty 220 1.0× 201 1.5× 83 0.8× 54 0.9× 40 1.0× 12 343
Mariana Leriche 201 0.9× 116 0.9× 98 1.0× 31 0.5× 32 0.8× 11 302
Eric Hou-Jen Wang 189 0.9× 131 1.0× 85 0.8× 43 0.7× 52 1.3× 5 339
Heather Decot 191 0.9× 161 1.2× 96 1.0× 48 0.8× 23 0.6× 6 331
Hong-Yan Geng 163 0.7× 91 0.7× 88 0.9× 41 0.7× 31 0.8× 13 337
Christina A. Sanford 203 0.9× 121 0.9× 127 1.3× 77 1.2× 25 0.6× 8 328
Sun Jung Bang 201 0.9× 134 1.0× 114 1.1× 79 1.3× 30 0.8× 7 309
Evelien H.S. Schut 165 0.8× 175 1.3× 76 0.8× 73 1.2× 24 0.6× 7 310
J.G. de Mooij‐van Malsen 173 0.8× 106 0.8× 104 1.0× 79 1.3× 19 0.5× 16 336

Countries citing papers authored by David J. Estrin

Since Specialization
Citations

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

Fields of papers citing papers by David J. Estrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Estrin

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