Reva Stidd

10 papers receiving 656 citations

Peers

Reva Stidd
Comparison fields: 5 of 74
  • Cognitive Neuroscience 360
  • Behavioral Neuroscience 42
  • Psychiatry and Mental health 116
  • Radiology, Nuclear Medicine and Imaging 173
  • Experimental and Cognitive Psychology 94
Replace Sebastian Ganger with:
Sebastian Ganger Austria
Elizabeth Molloy United States
Chérine Fahim Canada
Martin Küblböck Austria
Helen L. Alderson United Kingdom
René S. Kahn Netherlands
M. Perron Canada
S. Veillette Canada
Rachel G.H. Brans Netherlands
Elizabeth H. Lacey United States
Reva Stidd relative to Sebastian Ganger Austria Sebastian Ganger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Reva Stidd

Since Specialization
Citations

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

Fields of papers citing papers by Reva Stidd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reva Stidd. 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 Reva Stidd. The network helps show where Reva Stidd may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012240
2 2010207
3 200948
4 201147
5 201136
6 200931
7 201226
8 201114
9 201212
10 20122

About Reva Stidd

Reva Stidd is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 663 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Hypothalamic control of reproductive hormones (1 paper), Brain Tumor Detection and Classification (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Mental Health Research Topics (1 paper), Neural dynamics and brain function (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (360 citations), Behavioral Neuroscience (42 citations), Psychiatry and Mental health (116 citations), Radiology, Nuclear Medicine and Imaging (173 citations) and Experimental and Cognitive Psychology (94 citations). Reva Stidd has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Liv Clasen, Nitin Gogtay, Judith L. Rapoport, Jay N. Giedd, François Lalonde, Petra E. Vértes, Edward T. Bullmore, Aaron Alexander‐Bloch, Armin Raznahan and Anjené Addington. Their work appears in journals such as Schizophrenia Research, Genes Brain & Behavior, American Journal of Psychiatry, Schizophrenia Bulletin and Journal of the American Academy of Child & Adolescent Psychiatry.

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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