Beata Bekei

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Beata Bekei is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Beata Bekei has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in Beata Bekei's work include Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Protein Structure and Dynamics (2 papers). Beata Bekei is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Protein Structure and Dynamics (2 papers). Beata Bekei collaborates with scholars based in Germany, Sweden and Argentina. Beata Bekei's co-authors include Andrés Binolfi, François‐Xavier Theillet, Philipp Selenko, H Rose, Marchel Stuiver, Dorothea Lorenz, Daniella Goldfarb, Andrea Martorana, Lisa Lang and Derek T. Logan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Beata Bekei

8 papers receiving 1.1k citations

Hit Papers

Structural disorder of monomeric α-synuclein persists in ... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beata Bekei Germany 8 597 387 256 245 178 8 1.1k
Andrea Martorana Italy 10 371 0.6× 309 0.8× 214 0.8× 344 1.4× 179 1.0× 10 1.1k
Dorothea Pinotsi Switzerland 18 601 1.0× 303 0.8× 479 1.9× 270 1.1× 131 0.7× 32 1.5k
Andrei Leonov Germany 27 707 1.2× 516 1.3× 418 1.6× 165 0.7× 413 2.3× 55 1.7k
Min‐Kyu Cho Germany 18 515 0.9× 228 0.6× 238 0.9× 143 0.6× 136 0.8× 52 1.0k
Kathryn D. Kloepper United States 12 474 0.8× 619 1.6× 613 2.4× 163 0.7× 351 2.0× 16 1.3k
Trudy F. Ramlall United States 16 750 1.3× 632 1.6× 544 2.1× 116 0.5× 86 0.5× 21 1.5k
Hai‐Young Kim Germany 13 477 0.8× 360 0.9× 271 1.1× 104 0.4× 108 0.6× 27 918
Stefan Bibow Switzerland 15 1.1k 1.9× 116 0.3× 571 2.2× 253 1.0× 241 1.4× 25 1.5k
Vitaly V. Vostrikov United States 16 686 1.1× 259 0.7× 218 0.9× 59 0.2× 144 0.8× 36 1.1k
James A. Jarvis United Kingdom 10 278 0.5× 305 0.8× 334 1.3× 123 0.5× 119 0.7× 19 810

Countries citing papers authored by Beata Bekei

Since Specialization
Citations

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

Fields of papers citing papers by Beata Bekei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Bekei

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

All Works

8 of 8 papers shown
1.
Binolfi, Andrés, Antonio Limatola, François‐Xavier Theillet, et al.. (2016). Intracellular repair of oxidation-damaged α-synuclein fails to target C-terminal modification sites. Nature Communications. 7(1). 10251–10251. 87 indexed citations
2.
Theillet, François‐Xavier, Andrés Binolfi, Beata Bekei, et al.. (2016). Structural disorder of monomeric α-synuclein persists in mammalian cells. Nature. 530(7588). 45–50. 696 indexed citations breakdown →
3.
Danielsson, Jens, Xin Mu, Lisa Lang, et al.. (2015). Thermodynamics of protein destabilization in live cells. Proceedings of the National Academy of Sciences. 112(40). 12402–12407. 176 indexed citations
4.
Binolfi, Andrés, et al.. (2014). Efficient Modification of Alpha-Synuclein Serine 129 by Protein Kinase CK1 Requires Phosphorylation of Tyrosine 125 as a Priming Event. ACS Chemical Neuroscience. 5(12). 1203–1208. 53 indexed citations
5.
Bekei, Beata, et al.. (2012). In-Cell NMR in Mammalian Cells: Part 1. Methods in molecular biology. 895. 43–54. 18 indexed citations
6.
Bekei, Beata, H Rose, Michaela Herzig, & Philipp Selenko. (2012). In-Cell NMR in Mammalian Cells: Part 2. Methods in molecular biology. 895. 55–66. 13 indexed citations
7.
Bekei, Beata, H Rose, Michaela Herzig, et al.. (2012). In-Cell NMR in Mammalian Cells: Part 3. Methods in molecular biology. 895. 67–83. 10 indexed citations
8.
Theillet, François‐Xavier, Stamatios Liokatis, Beata Bekei, et al.. (2012). Site-Specific Mapping and Time-Resolved Monitoring of Lysine Methylation by High-Resolution NMR Spectroscopy. Journal of the American Chemical Society. 134(18). 7616–7619. 48 indexed citations

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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