Berit Powers

28 total papers · 1.2k total citations
14 papers, 629 citations indexed

About

Berit Powers is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Berit Powers has authored 14 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Berit Powers's work include Neurogenetic and Muscular Disorders Research (5 papers), RNA Research and Splicing (3 papers) and Spinal Cord Injury Research (3 papers). Berit Powers is often cited by papers focused on Neurogenetic and Muscular Disorders Research (5 papers), RNA Research and Splicing (3 papers) and Spinal Cord Injury Research (3 papers). Berit Powers collaborates with scholars based in United States, Japan and China. Berit Powers's co-authors include Philip J. Horner, Curt Mazur, Yin Yang, Courtney Ackeifi, Lee L. Rubin, Lance S. Davidow, Brian J. Wainger, Clifford J. Woolf, Shailesh Gupta and Kevin J. Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Berit Powers

12 papers receiving 620 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Berit Powers 345 171 161 136 119 14 629
Jūratė Lašienė 225 0.7× 206 1.2× 134 0.8× 87 0.6× 198 1.7× 13 616
Nai-Kui Liu 372 1.1× 227 1.3× 79 0.5× 70 0.5× 113 0.9× 16 786
Marisa A. Jeffries 292 0.8× 187 1.1× 97 0.6× 70 0.5× 130 1.1× 18 623
Kelly Hares 319 0.9× 194 1.1× 78 0.5× 252 1.9× 153 1.3× 24 739
Marián Hruška-Plocháň 291 0.8× 163 1.0× 213 1.3× 166 1.2× 75 0.6× 18 560
Nadia Haque 423 1.2× 356 2.1× 78 0.5× 125 0.9× 321 2.7× 10 692
Shinn Zong Lin 243 0.7× 190 1.1× 97 0.6× 80 0.6× 79 0.7× 23 617
Jin-Chong Xu 276 0.8× 234 1.4× 144 0.9× 40 0.3× 116 1.0× 11 572
Camilla Reali 206 0.6× 99 0.6× 68 0.4× 99 0.7× 119 1.0× 16 601
Qichuan Zhuge 225 0.7× 138 0.8× 109 0.7× 108 0.8× 133 1.1× 24 648

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-authorship network of co-authors of Berit Powers

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

All Works

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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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2026