John W. Hennessy

15 total papers · 516 total citations
13 papers, 445 citations indexed

About

John W. Hennessy is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, John W. Hennessy has authored 13 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Behavioral Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Social Psychology. Recurrent topics in John W. Hennessy's work include Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (5 papers) and Olfactory and Sensory Function Studies (4 papers). John W. Hennessy is often cited by papers focused on Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (5 papers) and Olfactory and Sensory Function Studies (4 papers). John W. Hennessy collaborates with scholars based in United States. John W. Hennessy's co-authors include Seymour Levine, William P. Smotherman, Richard Levin, Scott N. Grossman, Maurice G. King, Michael Cohen, Kenneth S. Kendler, Sebastian P. Grossman and Stephen Z. Levine and has published in prestigious journals such as Physiology & Behavior, Journal of Comparative and Physiological Psychology and Behavioral Biology.

In The Last Decade

John W. Hennessy

13 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
John W. Hennessy 192 144 135 124 75 13 445
Garth A. Hargreaves 91 0.5× 223 1.5× 130 1.0× 93 0.8× 66 0.9× 10 436
Eloísa Pavesi 100 0.5× 149 1.0× 124 0.9× 164 1.3× 50 0.7× 18 414
Finn Konow Jellestad 148 0.8× 133 0.9× 94 0.7× 144 1.2× 33 0.4× 18 427
Yannick Sevelinges 148 0.8× 126 0.9× 192 1.4× 180 1.5× 145 1.9× 13 432
Mónica Rodríguez Zafra 151 0.8× 119 0.8× 156 1.2× 47 0.4× 63 0.8× 24 420
Philippe Ropartz 110 0.6× 158 1.1× 188 1.4× 117 0.9× 87 1.2× 17 466
Tara J. Nyhuis 210 1.1× 87 0.6× 118 0.9× 57 0.5× 52 0.7× 15 397
Shelley K. Cross-Mellor 132 0.7× 125 0.9× 112 0.8× 152 1.2× 86 1.1× 20 452
John P. Heybach 203 1.1× 112 0.8× 167 1.2× 60 0.5× 26 0.3× 12 437
Sílvia Maisonnette 139 0.7× 277 1.9× 137 1.0× 154 1.2× 44 0.6× 20 435

Countries citing papers authored by John W. Hennessy

Since Specialization
Citations

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

Fields of papers citing papers by John W. Hennessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Hennessy. 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 John W. Hennessy. The network helps show where John W. Hennessy may publish in the future.

Co-authorship network of co-authors of John W. Hennessy

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Hennessy. A scholar is included among the top collaborators of John W. Hennessy 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 John W. Hennessy. John W. Hennessy 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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