Mark Ramsay

2.0k citations
5 papers · 1.6k · 1 hit paper · h-index 5

Impact in

Papers in

Mark Ramsay

5 papers receiving 1.6k citations

Mark Ramsay's Hit Papers

Enhanced long-term potentiation and impaired learning in mice with mutant postsynaptic density-95 protein 1998 · 957 citations
9570+9+18Years since publication250500750

Peers

Mark Ramsay
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 169
  • Neurology 246
  • Cognitive Neuroscience 522
  • Behavioral Neuroscience 78
Replace Hiroki Yasuda with:
Hiroki Yasuda Japan
Kate Prybylowski United States
Thomas Behnisch China
Ramón Bernabeu Argentina
Nikolai B. Fedorov United States
Eric S. Guire United States
Carmelo Sgobio Italy
Enrique C. Villacres United States
D.C. German United States
Ana V. Paternain Spain
Mark Ramsay relative to Hiroki Yasuda Japan Hiroki Yasuda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Ramsay

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ramsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Mark Ramsay

Mark Ramsay is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Computational Theory and Mathematics and Neurology, having authored 5 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers), Alzheimer's disease research and treatments (1 paper), Computational Drug Discovery Methods (1 paper), Receptor Mechanisms and Signaling (1 paper), Mitochondrial Function and Pathology (1 paper), Neural dynamics and brain function (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (169 citations), Neurology (246 citations), Cognitive Neuroscience (522 citations) and Behavioral Neuroscience (78 citations). Mark Ramsay has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Richard Morris, David M. Bannerman, Mark Good, Steven P. Butcher, John H. Morrison, Yong He, Seth G. N. Grant, Thomas J. O’Dell, Paul Charlesworth and Maureen Dempster. Their work appears in journals such as Nature, Annals of the New York Academy of Sciences, Trends in Genetics and Journal of Neuroscience.

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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