Publications and preprints

1. Alejandro López-Nieto, Phillipo Lappicy, Nicola Vassena, Hannes Stuke, Jia-Yuan Dai
   Hybrid Bifurcations: Periodicity from Eliminating a Line of Equilibria
   Mathematische Annalen, Early Access. https://doi.org/10.1007/s00208-024-03081-7 (2025)

2. Nicola Vassena, Florin Avram, Rim Adenane
   Finding bifurcations in mathematical epidemiology via reaction network methods
   Chaos, An Interdisciplinary Journal of Nonlinear Science; 34 (12): 123163. https://doi.org/10.1063/5.0221082 (2024)

3. Nicola Vassena
   Mass action systems: two criteria for Hopf bifurcation without Hurwitz
   To appear in SIAM Journal on Applied Mathematics.
   Preprint (2024)

4. Nicola Vassena and Peter F. Stadler
   Unstable Cores are the source of instability in Chemical Reaction Networks
   Proceedings of the Royal Society A, 480, 20230694. https://doi.org/10.1098/rspa.2023.0694 (2024)
   Preprint

5. Nicola Vassena
   Structural obstruction to the simplicity of the eigenvalue zero in chemical reaction networks
   Mathematical Methods in the Applied Sciences: 47, 4. https://doi.org/10.1002/mma.9790 (2023)

6. Nicola Vassena
   Symbolic hunt of instabilities and bifurcations in reaction networks
   Discrete and Continuous Dynamical Systems - B, doi: 10.3934/dcdsb.2023190 (2023)

7. Nicola Vassena
   Structural Conditions for Saddle-node Bifurcations in Chemical Reaction Networks
   SIAM Journal on Applied Dynamical Systems, 22: 1639-1672. doi: 10.1137/22M1527933 (2023)
   Preprint

8. Nicola Vassena
   Sign-sensitivity of metabolic networks: which structures determine the sign of the responses
   International Journal of Robust and Nonlinear Control, doi: 10.1002/rnc.5896 (2021)
   Preprint

9. Nicola Vassena
   Sensitivity of metabolic networks: perturbing metabolite concentrations
   Preprint (2020)

10. Nicola Vassena
    Good and bad children in metabolic networks
    Mathematical Biosciences and Engineering, 17(6): 7621-7644. doi: 10.3934/mbe.2020388 (2020)
    Preprint

11. Nicola Vassena
    Sensitivity of metabolic networks
    Ph.D. Thesis, Freie Universität Berlin (2020)

12. Nicola Vassena
    Sensitivity of monomolecular reaction networks: signed flux-response to reaction rate perturbations ECCTD 2017 Proceedings IEEE doi: 10.1109/ECCTD.2017.8093332 (2017)

13. Nicola Vassena and Hiroshi Matano
    Monomolecular reaction networks: flux-influenced sets and balloons
    Mathematical Methods in the Applied Sciences: 40, 18. doi: 10.1002/mma.4557 (2017)