Abigail L. Paulson

884 citations
7 papers · 540 indexed · 1 hit paper · h-index 4
Topics
Neuroscience and Neuropharmacology Research (5 papers)Memory and Neural Mechanisms (5 papers)Neural dynamics and brain function (3 papers)
Partner nations
United StatesJapan

In The Last Decade

Abigail L. Paulson

7 papers receiving 534 citations

Hit Papers

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

Peers

Abigail L. Paulson
Comparison fields: 5 of 73
  • Cognitive Neuroscience 265
  • Cellular and Molecular Neuroscience 256
  • Neurology 140
  • Physiology 110
  • Molecular Biology 66
Replace Stephanie M. Prince with:
Stephanie M. Prince United States
Webster Guan United States
Gabrielle T Drummond United States
Elise Gondard Canada
Ruohe Zhao United States
Nabin Koirala Germany
Daniel Justus Germany
Louise C. Parr‐Brownlie New Zealand
Samuel J. Barnes United Kingdom
Kim David Ferrari Switzerland
Abigail L. Paulson relative to Stephanie M. Prince United States Stephanie M. Prince's profile →
Citations per field
00.5×
Stephanie M. Prince · 1×
Citations per year

Countries citing papers authored by Abigail L. Paulson

Since Specialization
Citations

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

Fields of papers citing papers by Abigail L. Paulson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail L. Paulson. 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 Abigail L. Paulson. The network helps show where Abigail L. Paulson may publish in the future.

Co-authorship network of co-authors of Abigail L. Paulson

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 2
5 34
6
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognitionbreakdown →
473
7 25

About Abigail L. Paulson

Abigail L. Paulson is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomaterials, having authored 7 papers that have together received 540 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Neurology (140 citations), Cellular and Molecular Neuroscience (256 citations) and Cognitive Neuroscience (265 citations). Abigail L. Paulson has collaborated with scholars based in United States and Japan. Frequent co-authors include Annabelle C. Singer, Stephanie M. Prince, 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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