M Reading

507 citations
10 papers · 435 · h-index 10

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Olfactory and Sensory Function Studies

Papers in

    • Autoimmune Neurological Disorders and Treatments 2
    • Immunotherapy and Immune Responses 1

M Reading

10 papers receiving 401 citations

Peers

M Reading
Comparison fields: 5 of 73
  • Neurology 121
  • Sensory Systems 47
  • Developmental Neuroscience 35
  • Neurology 113
  • Immunology and Allergy 24
Replace Corey R. Seehus with:
Corey R. Seehus United States
Edward J. Parr Canada
S. Limonta Netherlands
Günfer Gürer Türkiye
Audrey D. Lafrenaye United States
Nathan Tu United States
Haowu Jiang United States
Rani Shiao United States
Keigo Suzukawa Japan
Robert J. Kahoud United States
M Reading relative to Corey R. Seehus United States Corey R. Seehus's profile →
Citations per field
00.5×2.8×
Corey R. Seehus · 1×
Citations per year

Countries citing papers authored by M Reading

Since Specialization
Citations

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

Fields of papers citing papers by M Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside M Reading, 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 M Reading Line = papers co-authored together M Reading links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200777
2 199167
3 199564
4 198755
5 197752
6 198940
7 198827
8 199322
9 198920
10 198911

About M Reading

M Reading is a scholar working on Neurology, Immunology, Molecular Biology, Epidemiology and Neurology, having authored 10 papers that have together received 435 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Immunotherapy and Immune Responses (1 paper), Mathematical Biology Tumor Growth (1 paper), Virology and Viral Diseases (1 paper), Polyomavirus and related diseases (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Neurology (121 citations), Sensory Systems (47 citations), Developmental Neuroscience (35 citations), Neurology (113 citations) and Immunology and Allergy (24 citations). M Reading has collaborated with scholars based in United Kingdom. Frequent co-authors include Margaret M. Esiri, Rupert McShane, Paul Hubbard, Zsuzsanna Nagy, Kathy Gedling, Tony Hope, B. McDonald, F. F. Cruz-Sánchez, M. V. Squier and John T. Hughes. Their work appears in journals such as Neuropathology and Applied Neurobiology, Journal of Clinical Pathology, Journal of Anatomy, Journal of Neurology Neurosurgery & Psychiatry and Journal of Neuroimmunology.

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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