Megan Gray

19 papers receiving 500 citations

Peers

Megan Gray
Comparison fields: 5 of 68
  • Behavioral Neuroscience 178
  • Biological Psychiatry 34
  • Endocrine and Autonomic Systems 50
  • Social Psychology 136
  • Anesthesiology and Pain Medicine 29
Replace Uwe Tewes with:
Uwe Tewes Germany
Lauren Sands United States
L J. Fulk United States
Benoît Averland France
Cybele Garcia-Leal Brazil
Chang-Jiang Yang China
Kristina A. Uban United States
Yi‐Wei Yeh Taiwan
Laura Cousino Klein United States
Scott W Woods United States
Megan Gray relative to Uwe Tewes Germany Uwe Tewes's profile →
Citations per field
00.5×9.7×
Uwe Tewes · 1×
Citations per year

Countries citing papers authored by Megan Gray

Since Specialization
Citations

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

Fields of papers citing papers by Megan Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 201893
3 199464
4 200944
5 201032
6 201227
7 201126
8 201020
9 200915
10 201814
11 201813
12 20147
13 20176
14 20186
15 20205
16 20204
17 20184
18 20183
19 19831
20 20170

About Megan Gray

Megan Gray is a scholar working on Social Psychology, Behavioral Neuroscience, Endocrine and Autonomic Systems, Infectious Diseases and Epidemiology, having authored 23 papers that have together received 512 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (8 papers), Stress Responses and Cortisol (8 papers), Circadian rhythm and melatonin (6 papers), HIV/AIDS Research and Interventions (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), HIV Research and Treatment (2 papers), Sex work and related issues (1 paper) and Dietetics, Nutrition, and Education (1 paper). The work is most often cited by research in Behavioral Neuroscience (178 citations), Biological Psychiatry (34 citations), Endocrine and Autonomic Systems (50 citations), Social Psychology (136 citations) and Anesthesiology and Pain Medicine (29 citations). Megan Gray has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Victor Viau, Brenda Bingham, Stan Floresco, Rebecca Dillingham, Elizabeth T. Rogawski McQuade, W. Michael Scheld, Leyla Innala, Susan B. Rutkowski, Philip J. Siddall and Michael J. Cousins. Their work appears in journals such as Neuropsychopharmacology, BMC Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Pain and Psychoneuroendocrinology.

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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