M. Catherine DeSoto

1.5k citations
25 papers · 1.1k indexed · h-index 15

M. Catherine DeSoto

25 papers receiving 1.1k citations

Peers

M. Catherine DeSoto
Comparison fields: 5 of 113
  • Statistics and Probability 344
  • Developmental and Educational Psychology 283
  • Cognitive Neuroscience 260
  • Education 255
  • Social Psychology 207
Replace Jiannong Shi with:
Jiannong Shi China
Tuija Aro Finland
Helen St Clair‐Thompson United Kingdom
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Deborah O. Day United States
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M. Catherine DeSoto relative to Jiannong Shi China Jiannong Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Catherine DeSoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Catherine DeSoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Catherine DeSoto. 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 M. Catherine DeSoto. The network helps show where M. Catherine DeSoto may publish in the future.

Co-authorship network of co-authors of M. Catherine DeSoto

This figure shows the co-authorship network connecting the top 25 collaborators of M. Catherine DeSoto. A scholar is included among the top collaborators of M. Catherine DeSoto 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 M. Catherine DeSoto. M. Catherine DeSoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Overestimating COVID-19 Mortality: Differential Findings Based on Support for Trump versus Biden
1
2 20
3 5
4
Can Dual Hormones Ever Duel? Neuroendocrine Interactions during Social Exclusion
1
5 22
6 17
7 5
8 23
9 26
10 5
11 77
12
Investigating the Role of Hormones in Theory of Mind
7
13
Perceived Exclusion in the Workplace: The Moderating Effects of Gender on Work-Related Attitudes and Psychological Health
178
14 26
15 413
16 31
17 48
18 73
19
Sex Differences in Spatial Abilities Among Adults from the United States and China Implications for Evolutionary Theory
25
20 31

About M. Catherine DeSoto

M. Catherine DeSoto is a scholar working on Behavioral Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (6 papers), Autism Spectrum Disorder Research (6 papers) and Child Nutrition and Feeding Issues (5 papers). The work is most often cited by research in Statistics and Probability (344 citations), Developmental and Educational Psychology (283 citations) and Experimental and Cognitive Psychology (199 citations). M. Catherine DeSoto has collaborated with scholars based in United States. Frequent co-authors include David C. Geary, Robert T. Hitlan, Mary K. Hoard, Jennifer Byrd‐Craven, Darrell Wiens, Monica Fabiani, Gabriele Gratton, Melanie Skaggs Sheldon, M. Lynne Cooper and Manuel Salinas. Their work appears in journals such as NeuroImage, Journal of Cognitive Neuroscience and Personality and Social Psychology Bulletin.

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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