Jeffrey M. Donlea

33 total papers · 2.1k total citations
20 papers, 1.1k citations indexed

About

Jeffrey M. Donlea is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Jeffrey M. Donlea has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 14 papers in Endocrine and Autonomic Systems and 11 papers in Cognitive Neuroscience. Recurrent topics in Jeffrey M. Donlea's work include Neurobiology and Insect Physiology Research (18 papers), Circadian rhythm and melatonin (14 papers) and Sleep and Wakefulness Research (11 papers). Jeffrey M. Donlea is often cited by papers focused on Neurobiology and Insect Physiology Research (18 papers), Circadian rhythm and melatonin (14 papers) and Sleep and Wakefulness Research (11 papers). Jeffrey M. Donlea collaborates with scholars based in United States, United Kingdom and Canada. Jeffrey M. Donlea's co-authors include Paul J. Shaw, Narendrakumar Ramanan, Matthew S. Thimgan, Yasuko Suzuki, Diogo Pimentel, Gero Miesenböck, Laura Gottschalk, Paul J. Shaw, Clifford B. Talbot and Seo Ho Song and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeffrey M. Donlea

20 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey M. Donlea 834 627 492 327 109 20 1.1k
Rozi Andretić Waldowski 774 0.9× 549 0.9× 326 0.7× 269 0.8× 143 1.3× 19 1.2k
Karen Panckeri 688 0.8× 842 1.3× 538 1.1× 221 0.7× 64 0.6× 13 1.3k
Laura Gottschalk 579 0.7× 486 0.8× 382 0.8× 237 0.7× 58 0.5× 18 1000
Qili Liu 640 0.8× 454 0.7× 316 0.6× 218 0.7× 76 0.7× 32 1.2k
Daniel Bushey 853 1.0× 613 1.0× 636 1.3× 291 0.9× 73 0.7× 20 1.4k
Zhifeng Yue 666 0.8× 724 1.2× 393 0.8× 185 0.6× 70 0.6× 20 1.3k
Wei L. Shen 661 0.8× 434 0.7× 260 0.5× 129 0.4× 92 0.8× 30 1.3k
Clifford B. Talbot 895 1.1× 307 0.5× 196 0.4× 406 1.2× 221 2.0× 11 1.1k
Takaomi Sakai 618 0.7× 322 0.5× 203 0.4× 331 1.0× 275 2.5× 47 1.2k
Ada Eban-Rothschild 447 0.5× 590 0.9× 744 1.5× 195 0.6× 168 1.5× 24 1.3k

Countries citing papers authored by Jeffrey M. Donlea

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Donlea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Donlea. 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 Jeffrey M. Donlea. The network helps show where Jeffrey M. Donlea may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Donlea

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Donlea. A scholar is included among the top collaborators of Jeffrey M. Donlea 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 Jeffrey M. Donlea. Jeffrey M. Donlea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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