Alison L. Barth

5.3k citations
70 papers · 3.7k indexed · h-index 30
Topics
Neuroscience and Neuropharmacology Research (38 papers)Neural dynamics and brain function (37 papers)Neuroscience and Neural Engineering (17 papers)

In The Last Decade

Alison L. Barth

65 papers receiving 3.7k citations

Peers

Alison L. Barth
Comparison fields: 5 of 126
  • Cellular and Molecular Neuroscience 2.6k
  • Cognitive Neuroscience 1.9k
  • Molecular Biology 1.1k
  • Neurology 284
  • Sensory Systems 264
Replace Scott M. Sternson with:
Scott M. Sternson United States
Deniz Atasoy United States
Thomas G. Oertner Germany
Hiroyuki Hioki Japan
Tetsuo Yamamori Japan
Tianyi Mao United States
Christine Grienberger United States
Jonathan T. Ting United States
Arnd Roth United Kingdom
Bryan M. Hooks United States
Alison L. Barth relative to Scott M. Sternson United States Scott M. Sternson's profile →
Citations per field
00.5×1.5×
Scott M. Sternson · 1×
Citations per year

Countries citing papers authored by Alison L. Barth

Since Specialization
Citations

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

Fields of papers citing papers by Alison L. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison L. Barth

This figure shows the co-authorship network connecting the top 25 collaborators of Alison L. Barth. A scholar is included among the top collaborators of Alison L. Barth 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 Alison L. Barth. Alison L. Barth 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 2
2 0
3 5
4 3
5 4
6 61
7 11
8 4
9 16
10 11
11 92
12 15
13 253
14 4
15 55
16 49
17 127
18 83
19 35
20 4

About Alison L. Barth

Alison L. Barth is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 70 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (38 papers), Neural dynamics and brain function (37 papers) and Neuroscience and Neural Engineering (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Cognitive Neuroscience (1.9k citations) and Sensory Systems (264 citations). Alison L. Barth has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joanna Urban‐Ciećko, James F.A. Poulet, Roger L. Clem, Robert C. Malenka, Brett L. Benedetti, Richard C. Gerkin, Jing Wen, David Stellwagen, Hiroki Yasuda and John Ngai. Their work appears in journals such as Science, 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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