Society for Neuroscience

86.0k citations
1.1k papers ·

Impact in

Papers in

Society for Neuroscience

1.0k papers receiving 80.5k citations

Peers

Society for Neuroscience
Comparison fields: 5 of 223
  • Developmental Neuroscience 5.8k
  • Cellular and Molecular Neuroscience 25.5k
  • Biological Psychiatry 2.1k
  • Neurology 6.6k
  • Endocrine and Autonomic Systems 4.8k
Replace Burke Medical Research Institute with:
Burke Medical Research Institute United States
Center for Neuroscience and Regenerative Medicine United States
Helen Hayes Hospital United States
CNS Research (United States) United States
VA Connecticut Research and Education Foundation United States
New York Genome Center United States
NeuroDevelopment Center United States
MaineGeneral Medical Center United States
Blanchette Rockefeller Neurosciences Institute United States
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Society for Neuroscience relative to Burke Medical Research Institute United States Burke Medical Research Institute's profile →
Citations per field
00.5×1.5×2.1×
Burke Medical Research Institute · 1×
Citations per year

Countries citing scholars working at Society for Neuroscience

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Society for Neuroscience. 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 papers produced at Society for Neuroscience with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Society for Neuroscience more than expected).

Fields of papers published by authors at Society for Neuroscience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Society for Neuroscience at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Society for Neuroscience at the time of their publication.

About Society for Neuroscience

In recent decades, authors affiliated with Society for Neuroscience have published 1.1k papers, which have received a total of 86.0k indexed citations . Scholars at this organization have produced 366 papers in Cellular and Molecular Neuroscience, 67 papers in Developmental Neuroscience, 52 papers in Sensory Systems, 79 papers in Neurology and 187 papers in Cognitive Neuroscience on the topics of Neuroscience and Neuropharmacology Research (166 papers), Neural dynamics and brain function (60 papers), Neurogenesis and neuroplasticity mechanisms (58 papers), Ion channel regulation and function (49 papers), Memory and Neural Mechanisms (49 papers), Neurotransmitter Receptor Influence on Behavior (45 papers), Receptor Mechanisms and Signaling (45 papers) and Nerve injury and regeneration (44 papers). Their work is cited by papers focused on Developmental Neuroscience (5.8k citations), Cellular and Molecular Neuroscience (25.5k citations), Biological Psychiatry (2.1k citations), Neurology (6.6k citations) and Endocrine and Autonomic Systems (4.8k citations). Authors at Society for Neuroscience collaborate with scholars in United States, France and United Kingdom and have published in prestigious journals including Journal of Neuroscience, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Philosophical Transactions of the Royal Society B Biological Sciences and Investigative Ophthalmology & Visual Science. Some of Society for Neuroscience's most productive authors include Valina L. Dawson, Ted M. Dawson, King‐Wai Yau, H.–W. Liao, Motoharu Takao, David M. Berson, Samer Hattar, Guy G. Poirier, Jeremy Nathans and Hongmin Wang.

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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