Attila Becskei

4.3k total citations · 2 hit papers
42 papers, 3.1k citations indexed

About

Attila Becskei is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Attila Becskei has authored 42 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in Attila Becskei's work include Gene Regulatory Network Analysis (21 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (13 papers). Attila Becskei is often cited by papers focused on Gene Regulatory Network Analysis (21 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (13 papers). Attila Becskei collaborates with scholars based in Switzerland, United Kingdom and United States. Attila Becskei's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Attila Becskei

40 papers receiving 3.0k citations

Hit Papers

Engineering stability in gene networks by autoregulation 2000 2026 2008 2017 2000 2001 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Attila Becskei Switzerland 19 2.8k 852 260 254 184 42 3.1k
Jonathan M. Raser United States 7 2.3k 0.8× 671 0.8× 134 0.5× 246 1.0× 185 1.0× 10 2.7k
William J. Blake United States 13 4.0k 1.4× 1.4k 1.6× 261 1.0× 352 1.4× 223 1.2× 17 4.3k
Mukund Thattai India 16 3.7k 1.3× 1.5k 1.8× 387 1.5× 354 1.4× 173 0.9× 40 4.1k
Ertuğrul M. Özbudak United States 19 2.9k 1.0× 919 1.1× 212 0.8× 248 1.0× 238 1.3× 32 3.3k
Xiao Wang China 27 2.2k 0.8× 510 0.6× 154 0.6× 164 0.6× 131 0.7× 120 2.8k
Sandeep Krishna India 32 1.7k 0.6× 672 0.8× 225 0.9× 78 0.3× 181 1.0× 87 2.5k
Narendra Maheshri United States 13 1.9k 0.7× 968 1.1× 93 0.4× 143 0.6× 98 0.5× 16 2.2k
Nicolas E. Buchler United States 24 2.7k 1.0× 827 1.0× 60 0.2× 159 0.6× 390 2.1× 39 3.1k
Vahid Shahrezaei United Kingdom 24 1.9k 0.7× 538 0.6× 117 0.5× 184 0.7× 84 0.5× 56 2.3k
Alon Zaslaver Israel 22 2.2k 0.8× 1.1k 1.2× 58 0.2× 131 0.5× 148 0.8× 37 3.0k

Countries citing papers authored by Attila Becskei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Delaney, Colin & Attila Becskei. (2025). Detection and Characterization of the Eukaryotic Vacant Ribosome. International Journal of Molecular Sciences. 27(1). 308–308.
2.
Becskei, Attila, et al.. (2024). Gene choice in cancer cells is exclusive in ion transport but concurrent in DNA replication. Computational and Structural Biotechnology Journal. 23. 2534–2547. 2 indexed citations
3.
Becskei, Attila, et al.. (2022). The life and death of RNA across temperatures. Computational and Structural Biotechnology Journal. 20. 4325–4336. 34 indexed citations
4.
Voegeli, Sylvia, et al.. (2021). Determinants of the temperature adaptation of mRNA degradation. Nucleic Acids Research. 50(2). 1092–1110. 13 indexed citations
5.
Baudrimont, Antoine, et al.. (2019). Contribution of RNA Degradation to Intrinsic and Extrinsic Noise in Gene Expression. Cell Reports. 26(13). 3752–3761.e5. 43 indexed citations
6.
Wada, Takeo, et al.. (2018). Stochastic Gene Choice during Cellular Differentiation. Cell Reports. 24(13). 3503–3512. 17 indexed citations
7.
Hsu, Chieh, et al.. (2017). Measurement of bistability in a multidimensional parameter space. Integrative Biology. 9(2). 167–177. 1 indexed citations
8.
Schmidt, Alexander, et al.. (2017). Measurement of In Vivo Protein Binding Affinities in a Signaling Network with Mass Spectrometry. ACS Synthetic Biology. 6(7). 1305–1314. 8 indexed citations
9.
Becskei, Attila, et al.. (2016). An open-loop approach to calculate noise-induced transitions. Journal of Theoretical Biology. 415. 145–157. 3 indexed citations
10.
Hsu, Chieh, et al.. (2016). Contribution of Bistability and Noise to Cell Fate Transitions Determined by Feedback Opening. Journal of Molecular Biology. 428(20). 4115–4128. 10 indexed citations
11.
Becskei, Attila, et al.. (2015). Identification of optimal parameter combinations for the emergence of bistability. Physical Biology. 12(6). 66011–66011. 5 indexed citations
12.
Becskei, Attila. (2011). Yeast genetic networks : methods and protocols. Humana Press eBooks.
13.
Becskei, Attila, et al.. (2011). Construction of cis-Regulatory Input Functions of Yeast Promoters. Methods in molecular biology. 734. 45–61. 1 indexed citations
14.
Scherrer, Simone, et al.. (2009). Synergy of Repression and Silencing Gradients Along the Chromosome. Journal of Molecular Biology. 387(4). 826–839. 9 indexed citations
15.
Becskei, Attila & Michael J. Grusby. (2007). Contribution of IL‐12R mediated feedback loop to Th1 cell differentiation. FEBS Letters. 581(27). 5199–5206. 36 indexed citations
16.
Özbudak, Ertuğrul M., Attila Becskei, & Alexander van Oudenaarden. (2005). A System of Counteracting Feedback Loops Regulates Cdc42p Activity during Spontaneous Cell Polarization. Developmental Cell. 9(4). 565–571. 111 indexed citations
17.
Becskei, Attila, Benjamin Kaufmann-Malaga, & Alexander van Oudenaarden. (2005). Contributions of low molecule number and chromosomal positioning to stochastic gene expression. Nature Genetics. 37(9). 937–944. 248 indexed citations
18.
Becskei, Attila & Iain W. Mattaj. (2003). The strategy for coupling the RanGTP gradient to nuclear protein export. Proceedings of the National Academy of Sciences. 100(4). 1717–1722. 40 indexed citations
19.
Becskei, Attila. (2001). Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion. The EMBO Journal. 20(10). 2528–2535. 526 indexed citations breakdown →
20.
Jancsó, Gábor, Ferenc Domoki, Péter Sántha, et al.. (1998). β-Amyloid (1–42) peptide impairs blood-brain barrier function after intracarotid infusion in rats. Neuroscience Letters. 253(2). 139–141. 58 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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