Stephanie M. Prince

869 citations
6 papers · 534 indexed · 1 hit paper · h-index 3
Topics
Memory and Neural Mechanisms (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Neural dynamics and brain function (2 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Stephanie M. Prince

5 papers receiving 528 citations

Hit Papers

Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-A...20192026202120232019100200300400

Peers

Stephanie M. Prince
Comparison fields: 5 of 68
  • Cognitive Neuroscience 275
  • Cellular and Molecular Neuroscience 264
  • Neurology 140
  • Physiology 110
  • Molecular Biology 67
Replace Abigail L. Paulson with:
Abigail L. Paulson United States
Gabrielle T Drummond United States
Alyse M. Thomas United States
Elise Gondard Canada
Ruohe Zhao United States
Samuel J. Barnes United Kingdom
Michelle Papka United States
Daniel Justus Germany
Sabrina Boulet France
Maciej M. Jankowski Israel
Stephanie M. Prince relative to Abigail L. Paulson United States Abigail L. Paulson's profile →
Citations per field
00.5×1.5×
Abigail L. Paulson · 1×
Citations per year

Countries citing papers authored by Stephanie M. Prince

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie M. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie M. Prince. 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 Stephanie M. Prince. The network helps show where Stephanie M. Prince may publish in the future.

Co-authorship network of co-authors of Stephanie M. Prince

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie M. Prince. A scholar is included among the top collaborators of Stephanie M. Prince 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 Stephanie M. Prince. Stephanie M. Prince is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 34
5
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognitionbreakdown →
473
6 24

About Stephanie M. Prince

Stephanie M. Prince is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 6 papers that have together received 534 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Neurology (140 citations), Cellular and Molecular Neuroscience (264 citations) and Cognitive Neuroscience (275 citations). Stephanie M. Prince has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Abigail L. Paulson, Annabelle C. Singer, Anthony J. Martorell, Edward S. Boyden, Kwanghun Chung, Webster Guan, Jennie Z. Young, Li-Huei Tsai, Oleg Kritskiy and Ho-Jun Suk. Their work appears in journals such as Nature, Cell and Proceedings of the National 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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