Megan Sealey

477 citations
19 papers · 326 · h-index 13

Impact in

    • Alzheimer's disease research and treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Peripheral Neuropathies and Disorders

Papers in

Megan Sealey

17 papers receiving 324 citations

Peers

Megan Sealey
Comparison fields: 5 of 67
  • Physiology 140
  • Neurology 39
  • Pathology and Forensic Medicine 76
  • Aging 7
  • Biological Psychiatry 10
Replace Riyun Yang with:
Riyun Yang China
Qinming Zhou China
Qingnan Liang United States
Genki Hayashi United States
Mailis Liiv Estonia
Sophie Robinson United Kingdom
Jinzhi Zhang China
Akbar Zeb Estonia
James P. Schavocky United States
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Megan Sealey relative to Riyun Yang China Riyun Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Megan Sealey

Since Specialization
Citations

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

Fields of papers citing papers by Megan Sealey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201763
2 202235
3 201532
4 201925
5 202223
6 201319
7 201117
8 202016
9 202116
10 202115
11 201615
12 202014
13 202313
14 201110
15 20228
16 20234
17 20191
18 20220
19 20250

About Megan Sealey

Megan Sealey is a scholar working on Pathology and Forensic Medicine, Physiology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Multiple Sclerosis Research Studies (6 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Healthcare and Venom Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Physiology (140 citations), Neurology (39 citations), Pathology and Forensic Medicine (76 citations), Aging (7 citations) and Biological Psychiatry (10 citations). Megan Sealey has collaborated with scholars based in United Kingdom, Singapore and Switzerland. Frequent co-authors include Amritpal Mudher, Shmma Quraishe, Catherine M. Cowan, Daniel C. Anthony, Fay Probert, Timothy D. W. Claridge, Tianrong Yeo, Torsten Bossing, Sofia Grammenoudi and Efthimios M. C. Skoulakis. Their work appears in journals such as Brain Communications, Scientific Reports, Frontiers in Immunology, Neurology Neuroimmunology & Neuroinflammation and International Journal of Alzheimer s Disease.

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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