Berit Powers

1.3k citations
14 papers · 636 · h-index 9

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA regulation and disease 2
    • Neurogenetic and Muscular Disorders Research 5

Berit Powers

12 papers receiving 627 citations

Peers

Berit Powers
Comparison fields: 5 of 66
  • Developmental Neuroscience 119
  • Genetics 136
  • Neurology 161
  • Cellular and Molecular Neuroscience 172
  • Neurology 65
Replace Marián Hruška-Plocháň with:
Marián Hruška-Plocháň United States
David Azoulay Israel
Linglong Zou United States
Friederike Kirsch Germany
Ashley L. Kalinski United States
Shih‐Hsiu J. Wang United States
Le Tian China
Mariane da Cunha Jaeger Brazil
Yannick N. Gerber France
G Haase France
Berit Powers relative to Marián Hruška-Plocháň United States Marián Hruška-Plocháň's profile →
Citations per field
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Marián Hruška-Plocháň · 1×
Citations per year

Countries citing papers authored by Berit Powers

Since Specialization
Citations

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

Fields of papers citing papers by Berit Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Berit Powers, 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 Berit Powers Line = papers co-authored together Berit Powers links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013228
2 201388
3 201265
4 202062
5 201754
6 201646
7 202131
8 202028
9 201721
10 20237
11 20163
12 20182
13 20161
14 20250

About Berit Powers

Berit Powers is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 636 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Spinal Cord Injury Research (3 papers), RNA Research and Splicing (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), RNA regulation and disease (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), interferon and immune responses (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Developmental Neuroscience (119 citations), Genetics (136 citations), Neurology (161 citations), Cellular and Molecular Neuroscience (172 citations) and Neurology (65 citations). Berit Powers has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Philip J. Horner, Curt Mazur, Lance S. Davidow, Lee L. Rubin, Kathryn A. Rosowski, Courtney Ackeifi, Shailesh Gupta, Kevin J. Kim, Yin Yang and Brian J. Wainger. Their work appears in journals such as Neurology, Nucleic Acids Research, Experimental Neurology, Science Translational Medicine and Acta Neuropathologica Communications.

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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