Merida M. Grant

1.2k citations
13 papers · 973 · h-index 11

Impact in

Papers in

Merida M. Grant

13 papers receiving 943 citations

Peers

Merida M. Grant
Comparison fields: 5 of 93
  • Behavioral Neuroscience 132
  • Experimental and Cognitive Psychology 287
  • Biological Psychiatry 46
  • Clinical Psychology 356
  • Cognitive Neuroscience 290
Replace Meghan E. Martz with:
Meghan E. Martz United States
Jacques Dayan France
Paul D. Carey South Africa
Cristiane von Werne Baes Brazil
Tomoyuki Nishino United States
Jan Christopher Cwik Germany
Jill A. Tarr United States
Isabella Berardelli Italy
M.O. Olatawura Nigeria
Blake McClarty Canada
Merida M. Grant relative to Meghan E. Martz United States Meghan E. Martz's profile →
Citations per field
00.5×3.6×
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

13 of 13 papers shown
#Work
1 2001249
2 2011136
3 2003120
4 2009114
5 199686
6 201873
7 201454
8 201552
9 200042
10 199526
11 200210
12 20039
13 20232

About Merida M. Grant

Merida M. Grant is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology, Pharmacology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 973 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (4 papers), Child Abuse and Trauma (3 papers), Treatment of Major Depression (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Mental Health Research Topics (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (132 citations), Experimental and Cognitive Psychology (287 citations), Biological Psychiatry (46 citations), Clinical Psychology (356 citations) and Cognitive Neuroscience (290 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, Steven D. Hollon, John C. Gore, Richard C. Shelton, Christopher J. Cannistraci, Karen L. Cropsey, Mary Ann Abrams, Karen M. Gil and Richard C. Shelton. Their work appears in journals such as Journal of Abnormal Psychology, Health Psychology, Journal of Adolescent Health, Journal of Psychiatric Research and Biological 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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