| Computing the structural influence matrix for biological systems G Giordano, C Cuba Samaniego, E Franco, F Blanchini Journal of Mathematical Biology 72, 1927-1958, 2016 | 47 | 2016 |
| Molecular titration promotes oscillations and bistability in minimal network models with monomeric regulators C Cuba Samaniego, G Giordano, J Kim, F Blanchini, E Franco ACS synthetic biology 5 (4), 321-333, 2016 | 39 | 2016 |
| Dynamic control of aptamer–ligand activity using strand displacement reactions J Lloyd, CH Tran, K Wadhwani, C Cuba Samaniego, HKK Subramanian, ... ACS synthetic biology 7 (1), 30-37, 2018 | 37 | 2018 |
| An ultrasensitive biomolecular network for robust feedback control CC Samaniego, E Franco Proceedings of the 20th World Congress of International Federation of …, 2017 | 35 | 2017 |
| Ultrasensitive molecular controllers for quasi-integral feedback CC Samaniego, E Franco Cell Systems 12 (3), 272-288. e3, 2021 | 29 | 2021 |
| A Dynamical Biomolecular Neural Network A Moorman, CC Samaniego, C Maley, R Weiss 2019 IEEE 58th Conference on Decision and Control (CDC), 1797-1802, 2019 | 21 | 2019 |
| A robust molecular network motif for period-doubling devices C Cuba Samaniego, E Franco ACS synthetic biology 7 (1), 75-85, 2018 | 17 | 2018 |
| Aggregates of Monotonic Step Response systems: a structural classification F Blanchini, CC Samaniego, E Franco, G Giordano IEEE Transactions on Control of Network Systems 5 (2), 782-792, 2017 | 17 | 2017 |
| Design of a molecular clock with RNA-mediated regulation F Blanchini, CC Samaniego, E Franco, G Giordano 53rd IEEE Conference on Decision and Control, 4611-4616, 2014 | 17 | 2014 |
| Stability analysis of an artificial biomolecular oscillator with non-cooperative regulatory interactions C Cuba Samaniego, G Giordano, F Blanchini, E Franco Journal of biological dynamics 11 (1), 102-120, 2017 | 13 | 2017 |
| Practical differentiation using ultrasensitive molecular circuits CC Samaniego, G Giordano, E Franco 2019 18th European Control Conference (ECC), 692-697, 2019 | 11 | 2019 |
| A universal method for sensitive and cell-free detection of CRISPR-associated nucleases KJ Cox, HKK Subramanian, CC Samaniego, E Franco, A Choudhary Chemical Science 10 (9), 2653-2662, 2019 | 11 | 2019 |
| Homogeneous time constants promote oscillations in negative feedback loops F Blanchini, C Cuba Samaniego, E Franco, G Giordano ACS synthetic biology 7 (6), 1481-1487, 2018 | 11 | 2018 |
| Building a synthetic transcriptional oscillator M Schwarz-Schilling, J Kim, C Cuba, M Weitz, E Franco, FC Simmel Cell Cycle Oscillators: Methods and Protocols, 185-199, 2016 | 10 | 2016 |
| A bistable biomolecular network based on monomeric inhibition reactions V Mardanlou, CC Samaniego, E Franco 2015 54th IEEE Conference on Decision and Control (CDC), 3858-3863, 2015 | 9 | 2015 |
| An ultrasensitive motif for robust closed loop control of biomolecular systems CC Samaniego, E Franco Decision and Control (CDC), 2017 IEEE 56th Annual Conference on Decision and …, 2017 | 8 | 2017 |
| Design of a bistable network using the CRISPR/Cas system CC Samaniego, HKK Subramanian, E Franco 2017 IEEE Conference on Control Technology and Applications (CCTA), 973-978, 2017 | 8 | 2017 |
| Signaling-based neural networks for cellular computation CC Samaniego, A Moorman, G Giordano, E Franco 2021 American Control Conference (ACC), 1883-1890, 2021 | 7 | 2021 |
| Sequestration and delays enable the synthesis of a molecular derivative operator CC Samaniego, J Kim, E Franco 2020 59th IEEE Conference on Decision and Control (CDC), 5106-5112, 2020 | 7 | 2020 |
| Influence of parameter values on the oscillation sensitivities of two p53–Mdm2 models CE Cuba, AR Valle, G Ayala-Charca, ER Villota, AM Coronado Systems and synthetic biology 9, 77-84, 2015 | 7 | 2015 |
Elisa FrancoProfessor of Mechanical and Aerospace Engineering, University of California at Los AngelesBestätigte E-Mail-Adresse bei seas.ucla.edu
