S. A. Deadwyler

928 citations
22 papers · 806 indexed · h-index 13
Topics
Neuroscience and Neuropharmacology Research (16 papers)Memory and Neural Mechanisms (11 papers)Neural dynamics and brain function (9 papers)
Partner nations
United StatesHong Kong

In The Last Decade

S. A. Deadwyler

20 papers receiving 785 citations

Peers

S. A. Deadwyler
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 669
  • Cognitive Neuroscience 461
  • Pharmacology 342
  • Molecular Biology 68
  • Neurology 55
Replace M.Carmen Obinu with:
M.Carmen Obinu Italy
James H. Pirch United States
Inmaculada Gerrikagoitia Spain
RA Nicoll United States
Gabriella M. Urbán Hungary
Pavel E. Rueda‐Orozco Mexico
Miguel Miguéns Spain
Kornelia Kamprath Germany
Tannia Gutierrez United States
Leire Reguero Spain
S. A. Deadwyler relative to M.Carmen Obinu Italy M.Carmen Obinu's profile →
Citations per field
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M.Carmen Obinu · 1×
Citations per year

Countries citing papers authored by S. A. Deadwyler

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Deadwyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Deadwyler. 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 S. A. Deadwyler. The network helps show where S. A. Deadwyler may publish in the future.

Co-authorship network of co-authors of S. A. Deadwyler

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Deadwyler. A scholar is included among the top collaborators of S. A. Deadwyler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. A. Deadwyler. S. A. Deadwyler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 11
3 12
4 0
5 11
6 9
7 25
8 90
9 96
10 0
11 1
12 57
13 26
14 218
15 1
16 28
17 27
18 17
19 17
20 85

About S. A. Deadwyler

S. A. Deadwyler is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology, having authored 22 papers that have together received 806 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (11 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (669 citations), Cognitive Neuroscience (461 citations) and Pharmacology (342 citations). S. A. Deadwyler has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Robert E. Hampson, Charles J. Heyser, Edward P. Christian, Gary Lynch, Jane West, Carl W. Cotman, Mark O. West, M. Todd Kirby, Shou-yuan Zhuang and Josef T. Kittler. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and Annals of the New York Academy of Sciences.

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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