Barbara Beyer

930 citations
17 papers · 677 · h-index 14

Impact in

Papers in

Barbara Beyer

17 papers receiving 671 citations

Peers

Barbara Beyer
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 342
  • Psychiatry and Mental health 161
  • Genetics 249
  • Developmental Neuroscience 27
  • Cognitive Neuroscience 102
Replace Tamaki Takeuchi with:
Tamaki Takeuchi Japan
Bruno Sterlini Italy
Nan Pang China
Sibylle G. Schwab Germany
Ingrid V. Lund United States
Neide Ferreira dos Santos Brazil
Lisa M. Sharkey United States
YogendraSinh H. Raol United States
Caroline M. Keeshen United States
Stacey B. B. Dutton United States
Barbara Beyer relative to Tamaki Takeuchi Japan Tamaki Takeuchi's profile →
Citations per field
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Tamaki Takeuchi · 1×
Citations per year

Countries citing papers authored by Barbara Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Beyer. 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 Barbara Beyer. The network helps show where Barbara Beyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbara Beyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara Beyer Line = papers co-authored together Barbara Beyer links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2001106
2 201497
3 200987
4 200868
5 200655
6 200944
7 201432
8 200529
9 200528
10 201526
11 201621
12 200321
13 201417
14 201416
15 201412
16 20089
17 20139

About Barbara Beyer

Barbara Beyer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Genetics and Cell Biology, having authored 17 papers that have together received 677 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (9 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Epilepsy research and treatment (2 papers), Photoreceptor and optogenetics research (2 papers), Cellular transport and secretion (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Psychiatry and Mental health (161 citations), Genetics (249 citations), Developmental Neuroscience (27 citations) and Cognitive Neuroscience (102 citations). Barbara Beyer has collaborated with scholars based in United States, Belgium and Brazil. Frequent co-authors include Wayne N. Frankel, Verity A. Letts, Wayne N. Frankel, Connie L. Mahaffey, H. Steve White, Bruce L. Tempel, Wen Zhang, Zhongwei Zhang, Matthew Peterson and Rebecca M. Boumil. Their work appears in journals such as Genes Brain & Behavior, Human Molecular Genetics, Journal of Neuroscience, PLoS Genetics and Neurobiology of Disease.

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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