Guy‐Bart Stan
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 53
- Microbial Metabolic Engineering and Bioproduction 22
- CRISPR and Genetic Engineering 18
- RNA and protein synthesis mechanisms 13
- Viral Infectious Diseases and Gene Expression in Insects 9
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- Nonlinear Dynamics and Pattern Formation 12
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- Control and Stability of Dynamical Systems 9
- Genetics top 5%
- Bacterial Genetics and Biotechnology 12
- Biophysics top 5%
- Co-authors
- Tom EllisFrancesca CeroniJorge GonçalvesRodolphe SepulchreYe YuanOlivier BorkowskiAlice BooMauricio Barahona
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Guy‐Bart Stan
110 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 2.2k
- Computer Networks and Communications 637
- Control and Systems Engineering 482
- Genetics 546
- Biophysics 106
Countries citing papers authored by Guy‐Bart Stan
This map shows the geographic impact of Guy‐Bart Stan'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 Guy‐Bart Stan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy‐Bart Stan more than expected).
Fields of papers citing papers by Guy‐Bart Stan
This network shows the impact of papers produced by Guy‐Bart Stan. 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 Guy‐Bart Stan. The network helps show where Guy‐Bart Stan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guy‐Bart Stan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 42 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 101 | |
| 14 | 2020 | 12 | |
| 15 | 2018 | 82 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 22 | |
| 18 | 2017 | 11 | |
| 19 | Bayesian Approaches to Nonlinear Network Reconstruction | 2014 | 1 |
| 20 | Comparison of different impulse response measurement techniques | 2002 | 157 |
About Guy‐Bart Stan
Guy‐Bart Stan is a scholar working on Molecular Biology, Computer Networks and Communications, Control and Systems Engineering, Virology and Genetics, having authored 112 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (53 papers), Microbial Metabolic Engineering and Bioproduction (22 papers), CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (13 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Bacterial Genetics and Biotechnology (12 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers) and Control and Stability of Dynamical Systems (9 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Computer Networks and Communications (637 citations), Control and Systems Engineering (482 citations), Genetics (546 citations) and Biophysics (106 citations). Guy‐Bart Stan has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Tom Ellis, Francesca Ceroni, Jorge Gonçalves, Rodolphe Sepulchre, Ye Yuan, Olivier Borkowski, Alice Boo, Mauricio Barahona, Diego A. Oyarzún and Karen M. Polizzi. Their work appears in journals such as Nature Communications, ACS Synthetic Biology, Automatica, IEEE Transactions on Automatic Control 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.