Meghan Mitchell

21 papers receiving 722 citations

Peers

Meghan Mitchell
Comparison fields: 5 of 85
  • Neuropsychology and Physiological Psychology 77
  • Psychiatry and Mental health 340
  • Cognitive Neuroscience 179
  • Health 59
  • Experimental and Cognitive Psychology 76
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Elizabeth Muñoz United States
Shufei Yin China
Iris Rawtaer Singapore
George M. Hoganson United States
Simona Sacuiu Sweden
Wolf D. Oswald Germany
Yohko Maki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Meghan Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Meghan Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 201273
3 200870
4 201259
5 201252
6 201046
7 201243
8 201241
9 201240
10 200839
11 201138
12 201222
13 201320
14 201510
15 20108
16 20177
17 20233
18 20241
19 20141
20 20141

About Meghan Mitchell

Meghan Mitchell is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Neuropsychology and Physiological Psychology, Experimental and Cognitive Psychology and Physiology, having authored 21 papers that have together received 738 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Aging and Gerontology Research (5 papers), Functional Brain Connectivity Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Cognitive Functions and Memory (2 papers), Memory Processes and Influences (2 papers), Cognitive Abilities and Testing (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (77 citations), Psychiatry and Mental health (340 citations), Cognitive Neuroscience (179 citations), Health (59 citations) and Experimental and Cognitive Psychology (76 citations). Meghan Mitchell has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include L. Stephen Miller, Alireza Atri, Steven D. Shirk, Lynn Shaughnessy, Joseph J. Locascio, Janet C. Sherman, Sandra Weıntraub, Donald G. McLaren, Lovingly Quitania Park and Judy Pa. Their work appears in journals such as Brain Imaging and Behavior, Journal of Aging Research, Journal of the International Neuropsychological Society, Aging Neuropsychology and Cognition and Alzheimer s & Dementia.

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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