Jonathan J. Chow

757 citations
26 papers · 508 · h-index 16

Impact in

Papers in

Jonathan J. Chow

24 papers receiving 502 citations

Peers

Jonathan J. Chow
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 299
  • Behavioral Neuroscience 53
  • General Decision Sciences 23
  • Cognitive Neuroscience 134
  • Applied Psychology 26
Replace T. H. C. Cheung with:
T. H. C. Cheung United Kingdom
Jonathan W. Pinkston United States
Kent Conover Canada
Felisa González Spain
Cara L. Buck United States
Bryan F. Singer United States
David N. Kearns United States
T.-J. Chiang United Kingdom
Metin Uengoer Germany
Joshua L. Jones United States
Jonathan J. Chow relative to T. H. C. Cheung United Kingdom T. H. C. Cheung's profile →
Citations per field
00.5×2.9×
T. H. C. Cheung · 1×
Citations per year

Countries citing papers authored by Jonathan J. Chow

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan J. Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan J. Chow Line = papers co-authored together Jonathan J. Chow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202168
2 201555
3 201651
4 201632
5 202232
6 201628
7 201726
8 201826
9 202224
10 201522
11 202021
12 201719
13 202319
14 201916
15 201915
16 202415
17 20218
18 20246
19 20206
20 20235

About Jonathan J. Chow

Jonathan J. Chow is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology, Behavioral Neuroscience and Developmental and Educational Psychology, having authored 26 papers that have together received 508 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (8 papers), Neuroendocrine regulation and behavior (5 papers), Neural and Behavioral Psychology Studies (5 papers), Behavioral and Psychological Studies (3 papers), Stress Responses and Cortisol (3 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (299 citations), Behavioral Neuroscience (53 citations), General Decision Sciences (23 citations), Cognitive Neuroscience (134 citations) and Applied Psychology (26 citations). Jonathan J. Chow has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Joshua S. Beckmann, Yavin Shaham, Marco Vènniro, Aaron P. Smith, Thomas R. Zentall, David J. Reiner, Jennifer M. Bossert, Ida Fredriksson, Michael T. Bardo and A. George Wilson. Their work appears in journals such as Psychopharmacology, Drug and Alcohol Dependence, Behavioural Brain Research, Journal of Neuroscience and Neuropharmacology.

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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