Michael Neystat

4.6k citations
8 papers · 885 · h-index 7

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Nuclear Receptors and Signaling
    • Nerve injury and regeneration
    • Neuroscience and Neuropharmacology Research

Papers in

Michael Neystat

8 papers receiving 860 citations

Peers

Michael Neystat
Comparison fields: 5 of 65
  • Neurology 550
  • Cellular and Molecular Neuroscience 438
  • Neurology 100
  • Psychiatry and Mental health 119
  • Cell Biology 96
Replace Concepción Marín with:
Concepción Marín United States
Fabienne Wavrant‐De Vrièze United States
Charles Duyckaerts France
Oliver Foster United Kingdom
Kelly M. Hinkle United States
Edito Fabrizio Italy
Lasse Pihlstrøm Norway
Gürdal Şahin Sweden
Wen Zhu United States
Shirley Yin-Yu Pang Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Michael Neystat

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neystat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2000344
2 1995266
3 199998
4 199993
5 200134
6 200231
7 200015
8
Molecular genetic analysis of Lubag.
19984

About Michael Neystat

Michael Neystat is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience and Cognitive Neuroscience, having authored 8 papers that have together received 885 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Nerve injury and regeneration (2 papers), Nuclear Receptors and Signaling (2 papers), Autism Spectrum Disorder Research (1 paper), Genomics and Rare Diseases (1 paper), Neurological disorders and treatments (1 paper) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Neurology (550 citations), Cellular and Molecular Neuroscience (438 citations), Neurology (100 citations), Psychiatry and Mental health (119 citations) and Cell Biology (96 citations). Michael Neystat has collaborated with scholars based in United States. Frequent co-authors include Serge Przedborski, Slobodanka Vukosavić, Vernice Jackson‐Lewis, Michael W. Jakowec, Miquel Vila, Robert E. Burke, Nikolai Kholodilov, Margarita Rzhetskaya, Timothy A. Pedley and Joseph H. Lee. Their work appears in journals such as Journal of Neurochemistry, Movement Disorders, Nature Genetics, Neuroscience Letters and Molecular Brain Research.

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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