Attila Becskei
- Molecular Biology top 2%
- Genetics top 2%
- Statistical and Nonlinear Physics top 2%
- Biophysics top 1%
- Plant Science top 10%
- Co-authors
- Luís SerranoAlexander van OudenaardenMurat AçarBenjamin Kaufmann-MalagaErtuğrul M. ÖzbudakTakeo WadaIain W. MattajMatthieu Louis
- Topics
- Gene Regulatory Network Analysis (21 papers)RNA Research and Splicing (14 papers)RNA and protein synthesis mechanisms (13 papers)
- Cited by
- BiophysicsMolecular BiologyGenetics
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Attila Becskei
40 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.8k
- Genetics 852
- Statistical and Nonlinear Physics 260
- Biophysics 254
- Plant Science 184
Countries citing papers authored by Attila Becskei
This map shows the geographic impact of Attila Becskei'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 Attila Becskei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Becskei more than expected).
Fields of papers citing papers by Attila Becskei
This network shows the impact of papers produced by Attila Becskei. 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 Attila Becskei. The network helps show where Attila Becskei may publish in the future.
Co-authorship network of co-authors of Attila Becskei
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Becskei. A scholar is included among the top collaborators of Attila Becskei 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 Attila Becskei. Attila Becskei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 34 | |
| 4 | 13 | |
| 5 | 43 | |
| 6 | 17 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 36 | |
| 16 | 111 | |
| 17 | 398 | |
| 18 | 40 | |
| 19 | Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversionbreakdown → | 526 |
| 20 | 58 |
About Attila Becskei
Attila Becskei is a scholar working on Molecular Biology, Biophysics and Modeling and Simulation, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (21 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (13 papers). The work is most often cited by research in Biophysics (254 citations), Molecular Biology (2.8k citations) and Genetics (852 citations). Attila Becskei has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Luís Serrano, Alexander van Oudenaarden, Murat Açar, Benjamin Kaufmann-Malaga, Ertuğrul M. Özbudak, Takeo Wada, Iain W. Mattaj, Matthieu Louis, Sylvia Voegeli and Antoine Baudrimont. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.