Grace E. Giles

44 papers receiving 1.1k citations

Peers

Grace E. Giles
Comparison fields: 5 of 132
  • Behavioral Neuroscience 98
  • Experimental and Cognitive Psychology 238
  • Applied Psychology 88
  • Biological Psychiatry 40
  • Pharmacology 223
Replace Kei Mizuno with:
Kei Mizuno Japan
Judith Cukor United States
Nuno Rocha Portugal
Stephan Bandelow United Kingdom
Kurt Wahlstedt Sweden
Helena Moraes Brazil
Simona Gardini Italy
Natalie S. Werner Germany
Sabine Pompéia Brazil
Mary M. Boggiano United States
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Citations per field
00.5×1.7×
Kei Mizuno · 1×
Citations per year

Countries citing papers authored by Grace E. Giles

Since Specialization
Citations

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

Fields of papers citing papers by Grace E. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace E. Giles. 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 Grace E. Giles. The network helps show where Grace E. Giles may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018130
2 2020125
3 2012115
4 201396
5 201489
6 201055
7 201751
8 201442
9 201139
10 201534
11 202131
12 201830
13 201530
14 201330
15 201625
16 201824
17 201919
18 201617
19 202015
20 201115

About Grace E. Giles

Grace E. Giles is a scholar working on Social Psychology, Cardiology and Cardiovascular Medicine, Clinical Psychology, Pharmacology and Cognitive Neuroscience, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (10 papers), Coffee research and impacts (9 papers), Eating Disorders and Behaviors (8 papers), Behavioral Health and Interventions (7 papers), Neural and Behavioral Psychology Studies (7 papers), Obesity, Physical Activity, Diet (7 papers), Stress Responses and Cortisol (6 papers) and Occupational Health and Performance (4 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Experimental and Cognitive Psychology (238 citations), Applied Psychology (88 citations), Biological Psychiatry (40 citations) and Pharmacology (223 citations). Grace E. Giles has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Caroline R. Mahoney, Tad T. Brunyé, Holly A. Taylor, Robin B. Kanarek, Harris R. Lieberman, Marianna D. Eddy, Heather L. Urry, Ellen L. Glickman, Paula J. Geiselman and Daniel A. Judelson. Their work appears in journals such as Medicine & Science in Sports & Exercise, Frontiers in Psychology, Pharmacology Biochemistry and Behavior, PLoS ONE and Brain and Cognition.

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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