Boyan Yordanov

1.9k total citations
26 papers, 1.2k citations indexed

About

Boyan Yordanov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Boyan Yordanov has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Boyan Yordanov's work include Gene Regulatory Network Analysis (18 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Formal Methods in Verification (9 papers). Boyan Yordanov is often cited by papers focused on Gene Regulatory Network Analysis (18 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Formal Methods in Verification (9 papers). Boyan Yordanov collaborates with scholars based in United Kingdom, United States and Czechia. Boyan Yordanov's co-authors include Călin Belta, Ebru Aydın Göl, Stephen Emmott, Sara-Jane Dunn, Graziano Martello, Austin Smith, Andrew Phillips, Jǐŕı Barnat, Neil Dalchau and Rasmus Lerchedahl Petersen and has published in prestigious journals such as Science, Nature Communications and Bioinformatics.

In The Last Decade

Boyan Yordanov

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boyan Yordanov United Kingdom 15 727 382 138 137 126 26 1.2k
Grégory Batt France 18 891 1.2× 113 0.3× 52 0.4× 41 0.3× 162 1.3× 38 1.2k
François Fages France 18 679 0.9× 309 0.8× 386 2.8× 15 0.1× 76 0.6× 73 1.2k
David Letscher United States 13 717 1.0× 332 0.9× 50 0.4× 45 0.3× 235 1.9× 33 1.4k
Max Garzón United States 14 454 0.6× 239 0.6× 367 2.7× 31 0.2× 47 0.4× 83 934
Shuling Wang China 19 609 0.8× 148 0.4× 51 0.4× 100 0.7× 81 0.6× 68 1.0k
Roberto Barbuti Italy 17 375 0.5× 339 0.9× 286 2.1× 8 0.1× 18 0.1× 83 828
Zaid Al-Ars Netherlands 21 469 0.6× 70 0.2× 492 3.6× 52 0.4× 35 0.3× 168 1.8k
Nicholas S. Flann United States 16 160 0.2× 64 0.2× 212 1.5× 115 0.8× 133 1.1× 57 743

Countries citing papers authored by Boyan Yordanov

Since Specialization
Citations

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

Fields of papers citing papers by Boyan Yordanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyan Yordanov

This figure shows the co-authorship network connecting the top 25 collaborators of Boyan Yordanov. A scholar is included among the top collaborators of Boyan Yordanov 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 Boyan Yordanov. Boyan Yordanov 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.
Zhang, Jinny Xuemeng, Boyan Yordanov, Alexander L. Gaunt, et al.. (2021). A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nature Communications. 12(1). 4387–4387. 47 indexed citations
2.
Hamadi, Youssef, et al.. (2020). Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2339–2352. 12 indexed citations
3.
Kugler, Hillel, et al.. (2019). Formal Analysis of Network Motifs Links Structure to Function in Biological Programs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 261–271. 3 indexed citations
4.
Murphy, Niall, Rasmus Lerchedahl Petersen, Andrew Phillips, Boyan Yordanov, & Neil Dalchau. (2018). Synthesizing and tuning stochastic chemical reaction networks with specified behaviours. Journal of The Royal Society Interface. 15(145). 20180283–20180283. 4 indexed citations
5.
Zhang, Jinny Xuemeng, John Fang, Lucia R. Wu, et al.. (2017). Predicting DNA hybridization kinetics from sequence. Nature Chemistry. 10(1). 91–98. 124 indexed citations
6.
Shavit, Yoli, Boyan Yordanov, Sara-Jane Dunn, et al.. (2016). Automated Synthesis and Analysis of Switching Gene Regulatory Networks. Biosystems. 146. 26–34. 4 indexed citations
7.
Grant, Paul K., Neil Dalchau, J. R. Brown, et al.. (2016). Orthogonal intercellular signaling for programmed spatial behavior. Molecular Systems Biology. 12(1). 849–849. 52 indexed citations
8.
Yordanov, Boyan, Sara-Jane Dunn, Hillel Kugler, et al.. (2016). A method to identify and analyze biological programs through automated reasoning. npj Systems Biology and Applications. 2(1). 22 indexed citations
9.
Yordanov, Boyan, et al.. (2014). Computational Design of Nucleic Acid Feedback Control Circuits. ACS Synthetic Biology. 3(8). 600–616. 74 indexed citations
10.
Yordanov, Boyan, Neil Dalchau, Paul K. Grant, et al.. (2014). A Computational Method for Automated Characterization of Genetic Components. ACS Synthetic Biology. 3(8). 578–588. 20 indexed citations
11.
Yordanov, Boyan, et al.. (2014). Programming Languages for Circuit Design. Methods in molecular biology. 1244. 81–104. 3 indexed citations
12.
Dunn, Sara-Jane, Graziano Martello, Boyan Yordanov, Stephen Emmott, & Austin Smith. (2014). Defining an essential transcription factor program for naïve pluripotency. Science. 344(6188). 1156–1160. 273 indexed citations
13.
Yordanov, Boyan, Youssef Hamadi, Hillel Kugler, & Christoph M. Wintersteiger. (2013). Z34Bio: An SMT-based Framework for Analyzing Biological Computation. 1 indexed citations
14.
Yordanov, Boyan, et al.. (2012). Formal analysis of piecewise affine systems through formula-guided refinement. Automatica. 49(1). 261–266. 15 indexed citations
15.
Yordanov, Boyan, Jana Tůmová, Ivana Černá, Jǐŕı Barnat, & Călin Belta. (2011). Temporal Logic Control of Discrete-Time Piecewise Affine Systems. IEEE Transactions on Automatic Control. 57(6). 1491–1504. 79 indexed citations
16.
Yordanov, Boyan & Călin Belta. (2010). Formal Analysis of Discrete-Time Piecewise Affine Systems. IEEE Transactions on Automatic Control. 55(12). 2834–2840. 32 indexed citations
17.
Yordanov, Boyan & Călin Belta. (2008). Formal analysis of Piecewise Affine systems under parameter uncertainty with application to gene networks. 37. 2767–2772. 5 indexed citations
18.
Batt, Grégory, Boyan Yordanov, Ron Weiss, & Călin Belta. (2007). Robustness analysis and tuning of synthetic gene networks. Bioinformatics. 23(18). 2415–2422. 82 indexed citations
19.
Yordanov, Boyan, Grégory Batt, & Călin Belta. (2007). Model checking discrete-time Piecewise Affine systems: Application to gene networks. 2619–2626. 14 indexed citations
20.
Yang, Mingfeng, Boyan Yordanov, Yaakov Levy, Rafael Brüschweiler, & Shuanghong Huo. (2006). The Sequence-Dependent Unfolding Pathway Plays a Critical Role in the Amyloidogenicity of Transthyretin. Biochemistry. 45(39). 11992–12002. 26 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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