Jenna A. McHenry

35 total papers · 2.2k total citations
15 papers, 1.4k citations indexed

About

Jenna A. McHenry is a scholar working on Cellular and Molecular Neuroscience, Social Psychology and Molecular Biology. According to data from OpenAlex, Jenna A. McHenry has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Social Psychology and 5 papers in Molecular Biology. Recurrent topics in Jenna A. McHenry's work include Neuroendocrine regulation and behavior (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Stress Responses and Cortisol (3 papers). Jenna A. McHenry is often cited by papers focused on Neuroendocrine regulation and behavior (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Stress Responses and Cortisol (3 papers). Jenna A. McHenry collaborates with scholars based in United States, Russia and United Kingdom. Jenna A. McHenry's co-authors include Garret D. Stuber, Elaine M. Hull, Nicole Carrier, Mohamed Kabbaj, James M. Otis, Oksana Kosyk, Mark A. Rossi, Vijay Mohan K Namboodiri, J. Elliott Robinson and Shanna L. Resendez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jenna A. McHenry

15 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jenna A. McHenry 559 501 380 314 252 15 1.4k
Pamela P. Auerbach 813 1.5× 509 1.0× 267 0.7× 403 1.3× 209 0.8× 30 1.5k
Alan E. Fisher 611 1.1× 329 0.7× 453 1.2× 292 0.9× 175 0.7× 42 1.7k
W. Meelis 429 0.8× 306 0.6× 772 2.0× 150 0.5× 407 1.6× 26 1.3k
Maria A. Morgan 430 0.8× 362 0.7× 235 0.6× 302 1.0× 197 0.8× 29 1.4k
Erin B. Larson 1.0k 1.8× 298 0.6× 318 0.8× 486 1.5× 287 1.1× 24 1.5k
A.M. van der Poel 519 0.9× 365 0.7× 833 2.2× 223 0.7× 413 1.6× 30 1.3k
J. N. Crawley 734 1.3× 419 0.8× 404 1.1× 501 1.6× 175 0.7× 19 1.5k
Maric Tse 1.0k 1.8× 877 1.8× 298 0.8× 347 1.1× 302 1.2× 16 1.7k
Rebecca Yang 530 0.9× 232 0.5× 290 0.8× 421 1.3× 330 1.3× 29 1.3k
Danielle Wenkstern 916 1.6× 243 0.5× 634 1.7× 373 1.2× 225 0.9× 9 1.5k

Countries citing papers authored by Jenna A. McHenry

Since Specialization
Citations

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

Fields of papers citing papers by Jenna A. McHenry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenna A. McHenry

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