T. J. Crow

3.4k citations
49 papers · 1.9k · h-index 22

Impact in

Papers in

    • Hemispheric Asymmetry in Neuroscience 10
    • Functional Brain Connectivity Studies 4
    • Autism Spectrum Disorder Research 3
    • Prion Diseases and Protein Misfolding 6

T. J. Crow

49 papers receiving 1.8k citations

Peers

T. J. Crow
Comparison fields: 5 of 123
  • Psychiatry and Mental health 484
  • Cognitive Neuroscience 656
  • Biological Psychiatry 74
  • Neurology 136
  • Experimental and Cognitive Psychology 192
Replace Milan Dragović with:
Milan Dragović Australia
Karen A. Nolan United States
James Shields United States
Michele T. Pato United States
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Takuya Kojima Japan
D. G. Cunningham Owens United Kingdom
Pamela DeRosse United States
Ogúz Kelemen Hungary
Tamás Tényi Hungary
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Citations per field
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Citations per year

Countries citing papers authored by T. J. Crow

Since Specialization
Citations

This map shows the geographic impact of T. J. Crow'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 T. J. Crow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Crow more than expected).

Fields of papers citing papers by T. J. Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990325
2 2000265
3 1988135
4 1993130
5 1994125
6 1995103
7 199678
8 200371
9 200453
10 198550
11 197849
12 199545
13 201335
14 201333
15 198431
16 198630
17 201927
18 197822
19 200722
20 199122

About T. J. Crow

T. J. Crow is a scholar working on Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, Genetics and Clinical Psychology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hemispheric Asymmetry in Neuroscience (10 papers), Cognitive Abilities and Testing (8 papers), Prion Diseases and Protein Misfolding (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Autism Spectrum Disorder Research (3 papers), Schizophrenia research and treatment (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Psychiatry and Mental health (484 citations), Cognitive Neuroscience (656 citations), Biological Psychiatry (74 citations), Neurology (136 citations) and Experimental and Cognitive Psychology (192 citations). T. J. Crow has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include R.M. Ridley, H. F. Baker, Chris Frith, P.M. Conneally, L. W. Duchen, Marilyn Stevens, C.J. Bruton, I. C. McManus, Michael C. Corballis and George R. Taylor. Their work appears in journals such as Schizophrenia Research, The British Journal of Psychiatry, Psychological Medicine, Biological Psychiatry and Cerebral Cortex.

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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