Merida M. Grant

1.3k citations
14 papers · 997 · h-index 11

Impact in

Papers in

Merida M. Grant

14 papers receiving 967 citations

Peers

Merida M. Grant
Comparison fields: 5 of 88
  • Behavioral Neuroscience 110
  • Experimental and Cognitive Psychology 208
  • Clinical Psychology 285
  • Biological Psychiatry 29
  • Cognitive Neuroscience 217
Replace Meghan E. Martz with:
Meghan E. Martz United States
Anda Gershon United States
Paul D. Carey South Africa
Tomoyuki Nishino United States
Jacques Dayan France
M.O. Olatawura Nigeria
Jan Christopher Cwik Germany
Andrzej Jakubczyk Poland
Margaret Bendersky United States
Megan Olden United States
Merida M. Grant relative to Meghan E. Martz United States Meghan E. Martz's profile →
Citations per field
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Meghan E. Martz · 1×
Citations per year

Countries citing papers authored by Merida M. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Merida M. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001250
2 2011138
3 2003120
4 2009114
5 199686
6 201876
7 201455
8 201552
9 200042
10 199526
11 202217
12 200210
13 20039
14 20232

About Merida M. Grant

Merida M. Grant is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Experimental and Cognitive Psychology, Genetics and Health, having authored 14 papers that have together received 997 indexed citations. Recurring topics across this work include Treatment of Major Depression (3 papers), Religion, Spirituality, and Psychology (2 papers), Mental Health Research Topics (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Stress Responses and Cortisol (2 papers), Child Abuse and Trauma (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Behavioral Neuroscience (110 citations), Experimental and Cognitive Psychology (208 citations), Clinical Psychology (285 citations), Biological Psychiatry (29 citations) and Cognitive Neuroscience (217 citations). Merida M. Grant has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John A. Sweeney, Michael E. Thase, John C. Gore, Steven D. Hollon, Richard C. Shelton, Christopher J. Cannistraci, Karen L. Cropsey, Karen M. Gil, Mary Ann Abrams and Zhaohua Ding. Their work appears in journals such as Journal of Abnormal Psychology, Annals of Behavioral Medicine, Seizure, Health Psychology and Journal of Psychiatric Research.

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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