Mark E. Stanton

162 papers receiving 6.7k citations

Mark E. Stanton's Hit Papers

Deficient cerebellar long-term depression and impaired motor learning in mGluR1 mutant mice 1994 · 815 citations
8150+10+21Years since publication250500750

Peers

Mark E. Stanton
Comparison fields: 5 of 139
  • Behavioral Neuroscience 1.6k
  • Cellular and Molecular Neuroscience 2.6k
  • Cognitive Neuroscience 2.4k
  • Developmental Neuroscience 443
  • Biological Psychiatry 253
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Janice M. Juraska United States
Howard C. Becker United States
Willy Mayo France
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Countries citing papers authored by Mark E. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deficient cerebellar long-term depression and impaired motor learning in mGluR1 mutant mice
Hit paper breakdown →
1994815
2 2003470
3 1987380
4 1988214
5 1988205
6 2007154
7 1983148
8 2000146
9 1987135
10 2018125
11 1990117
12 1992117
13 1992106
14 1989102
15 198594
16 198993
17 199884
18 201079
19 199077
20 200166

About Mark E. Stanton

Mark E. Stanton is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Pediatrics, Perinatology and Child Health and Social Psychology, having authored 164 papers that have together received 7.0k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (74 papers), Neuroscience and Neuropharmacology Research (62 papers), Stress Responses and Cortisol (45 papers), Prenatal Substance Exposure Effects (35 papers), Neuroendocrine regulation and behavior (24 papers), Neonatal and fetal brain pathology (18 papers), Glaucoma and retinal disorders (14 papers) and Birth, Development, and Health (12 papers). The work is most often cited by research in Behavioral Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (2.6k citations), Cognitive Neuroscience (2.4k citations), Developmental Neuroscience (443 citations) and Biological Psychiatry (253 citations). Mark E. Stanton has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Seymour Levine, John H. Freeman, Yvonne R. Gutierrez, Gregory D. Fox, Karl Herrup, Susumu Tonegawa, Theresa A. Zwingman, Masanobu Kano, Chong Chen and Michael R. Foy. Their work appears in journals such as Behavioral Neuroscience, Developmental Psychobiology, Behavioural Brain Research, Neurotoxicology and Teratology and Neurobiology of Learning and Memory.

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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