Megan E. Mikhail

1.1k citations
33 papers · 775 · h-index 12

Impact in

Papers in

Megan E. Mikhail

29 papers receiving 766 citations

Peers

Megan E. Mikhail
Comparison fields: 5 of 76
  • Cancer Research 311
  • Clinical Psychology 262
  • Applied Psychology 25
  • Behavioral Neuroscience 15
  • Molecular Biology 281
Replace Yu‐Hsin Huang with:
Yu‐Hsin Huang Taiwan
Agnès Bonnet France
Jennifer Judy United States
Mark Kotur United States
Linda Abadjian United States
Mary L. Lutzke United States
Lucy Palmer United Kingdom
Dara S. Berger United States
Jean‐Pierre Louvet France
Yongqiang Yang China
Megan E. Mikhail relative to Yu‐Hsin Huang Taiwan Yu‐Hsin Huang's profile →
Citations per field
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Yu‐Hsin Huang · 1×
Citations per year

Countries citing papers authored by Megan E. Mikhail

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Mikhail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013399
2 202072
3 201934
4 202128
5 201925
6 202124
7 202320
8 202118
9 201917
10 201917
11 202213
12 202011
13 202111
14 202310
15 202010
16 202310
17 202210
18 201910
19 20239
20 20224

About Megan E. Mikhail

Megan E. Mikhail is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems, Psychiatry and Mental health and Reproductive Medicine, having authored 33 papers that have together received 775 indexed citations. Recurring topics across this work include Eating Disorders and Behaviors (29 papers), Obesity, Physical Activity, Diet (6 papers), Regulation of Appetite and Obesity (4 papers), Hypothalamic control of reproductive hormones (3 papers), Behavioral Health and Interventions (2 papers), Child Nutrition and Feeding Issues (2 papers), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cancer Research (311 citations), Clinical Psychology (262 citations), Applied Psychology (25 citations), Behavioral Neuroscience (15 citations) and Molecular Biology (281 citations). Megan E. Mikhail has collaborated with scholars based in United States, Canada and Bulgaria. Frequent co-authors include Jiajing Zhang, Nicole A. Rapicavoli, Howard Y. Chang, Kun Qu, Rémi-Martin Laberge, Kelly L. Klump, S. Alexandra Burt, Michael C. Neale, Pamela K. Keel and Kristen M. Culbert. Their work appears in journals such as International Journal of Eating Disorders, Clinical Psychological Science, Psychological Medicine, Development and Psychopathology and Current Opinion in 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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