Conor D. Cox

1.5k citations
24 papers · 1.1k · h-index 17

Impact in

Papers in

Conor D. Cox

24 papers receiving 1.1k citations

Peers

Conor D. Cox
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 501
  • Behavioral Neuroscience 93
  • Biological Psychiatry 45
  • Neurology 146
  • Cognitive Neuroscience 351
Replace Massimo Trusel with:
Massimo Trusel Italy
Chuljung Kwak South Korea
Akane Sano Japan
János Fuzik Sweden
Melissa Malvaez United States
Alberto Jarrin Lopez United States
Kasia Radwańska Poland
Frederick L. Hitti United States
Tatiana M. Kazdoba United States
Hyoung‐Gon Ko South Korea
Conor D. Cox relative to Massimo Trusel Italy Massimo Trusel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Conor D. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Conor D. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor D. Cox. 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 Conor D. Cox. The network helps show where Conor D. Cox may publish in the future.

Co-authors

The 25 scholars most cited alongside Conor D. Cox, 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 Conor D. Cox Line = papers co-authored together Conor D. Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015170
2 2012151
3 2021105
4 201897
5 201492
6 201254
7 201653
8 201744
9 202241
10 201735
11 201333
12 202232
13 201731
14 201928
15 202126
16 201524
17 201919
18 201916
19 201613
20 201410

About Conor D. Cox

Conor D. Cox is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Developmental Neuroscience and Genetics, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (5 papers), Neuroendocrine regulation and behavior (3 papers), Alzheimer's disease research and treatments (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cannabis and Cannabinoid Research (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (501 citations), Behavioral Neuroscience (93 citations), Biological Psychiatry (45 citations), Neurology (146 citations) and Cognitive Neuroscience (351 citations). Conor D. Cox has collaborated with scholars based in United States, Bulgaria and Italy. Frequent co-authors include Christine M. Gall, GARY S. LYNCH, Julie C. Lauterborn, Alex H. Babayan, Aliza A. Le, Daniele Piomelli, Weisheng Wang, Enikö A. Kramár, Oswald Steward and Gavin Rumbaugh. Their work appears in journals such as Journal of Neuroscience, Cerebral Cortex, Proceedings of the National Academy of Sciences, The Journal of Physiology and Acta Neuropathologica.

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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