Alessia Annibale

527 total citations
32 papers, 314 citations indexed

About

Alessia Annibale is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Alessia Annibale has authored 32 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Statistical and Nonlinear Physics and 5 papers in Condensed Matter Physics. Recurrent topics in Alessia Annibale's work include Complex Network Analysis Techniques (9 papers), Gene Regulatory Network Analysis (8 papers) and Protein Structure and Dynamics (7 papers). Alessia Annibale is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Gene Regulatory Network Analysis (8 papers) and Protein Structure and Dynamics (7 papers). Alessia Annibale collaborates with scholars based in United Kingdom, Italy and United States. Alessia Annibale's co-authors include Adriano Barra, Daniele Tantari, Peter Sollich, Edina Rosta, Andrea De Martino, Andrea Cavagna, Irene Giardina, Reimer Kühn, Giorgio Parisi and François Sicard and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Alessia Annibale

31 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessia Annibale United Kingdom 13 128 98 55 54 36 32 314
Milan Rajković Serbia 11 149 1.2× 64 0.7× 30 0.5× 26 0.5× 34 0.9× 23 399
Ana V. Coronado Spain 10 85 0.7× 112 1.1× 80 1.5× 43 0.8× 13 0.4× 19 342
Vasileios Basios Belgium 11 122 1.0× 39 0.4× 51 0.9× 11 0.2× 41 1.1× 36 279
Maria de Sousa Vieira United States 14 302 2.4× 71 0.7× 31 0.6× 95 1.8× 18 0.5× 26 604
Yukito Iba Japan 9 68 0.5× 157 1.6× 63 1.1× 123 2.3× 16 0.4× 25 374
Joanna Tyrcha Sweden 10 86 0.7× 82 0.8× 56 1.0× 43 0.8× 130 3.6× 25 363
O. V. Usatenko Ukraine 13 199 1.6× 120 1.2× 43 0.8× 58 1.1× 9 0.3× 55 445
N S Skantzos United Kingdom 10 187 1.5× 23 0.2× 46 0.8× 138 2.6× 37 1.0× 21 284
Daniele Tantari Italy 12 168 1.3× 40 0.4× 164 3.0× 105 1.9× 96 2.7× 31 431
Renate Wackerbauer United States 12 270 2.1× 54 0.6× 34 0.6× 24 0.4× 123 3.4× 24 460

Countries citing papers authored by Alessia Annibale

Since Specialization
Citations

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

Fields of papers citing papers by Alessia Annibale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessia Annibale

This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Annibale. A scholar is included among the top collaborators of Alessia Annibale 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 Alessia Annibale. Alessia Annibale 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.
Annibale, Alessia, et al.. (2024). Dynamically selected steady states and criticality in non-reciprocal networks. Chaos Solitons & Fractals. 182. 114809–114809. 6 indexed citations
2.
Neri, Izaak, et al.. (2024). Clustering coefficients for networks with higher order interactions. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(4). 4 indexed citations
3.
Hartmann, Alexander K., et al.. (2022). Variational kinetic clustering of complex networks. The Journal of Chemical Physics. 158(10). 104112–104112. 5 indexed citations
4.
Tzanis, Evan, et al.. (2022). Exact and approximate mean first passage times on trees and other necklace structures: a local equilibrium approach. Journal of Physics A Mathematical and Theoretical. 55(11). 115001–115001. 2 indexed citations
5.
Kühn, Reimer, et al.. (2022). Uncovering the non-equilibrium stationary properties in sparse Boolean networks. arXiv (Cornell University). 5 indexed citations
6.
Annibale, Alessia, et al.. (2021). Overcoming the complexity barrier of the dynamic message-passing method in networks with fat-tailed degree distributions. arXiv (Cornell University). 3 indexed citations
7.
Annibale, Alessia, et al.. (2021). Modelling the interplay between the CD4$$^{+}$$/CD8$$^{+}$$ T-cell ratio and the expression of MHC-I in tumours. Journal of Mathematical Biology. 83(1). 2–2.
8.
Annibale, Alessia, et al.. (2019). Mean first passage times in variational coarse graining using Markov state models. The Journal of Chemical Physics. 150(13). 134107–134107. 15 indexed citations
9.
Kühn, Reimer, et al.. (2019). Percolation in bipartite Boolean networks and its role in sustaining life. Journal of Physics A Mathematical and Theoretical. 52(33). 334002–334002. 5 indexed citations
10.
Annibale, Alessia, et al.. (2018). Limiting relaxation times from Markov state models. The Journal of Chemical Physics. 149(7). 72324–72324. 6 indexed citations
11.
Annibale, Alessia, et al.. (2018). The role of the T-helper/T-suppressor ratio in the adaptive immune response: a dynamical model. Journal of Physics A Mathematical and Theoretical. 51(50). 505602–505602. 1 indexed citations
12.
Annibale, Alessia, et al.. (2017). Cell reprogramming modelled as transitions in a hierarchy of cell cycles. Journal of Physics A Mathematical and Theoretical. 50(42). 425601–425601. 9 indexed citations
13.
Annibale, Alessia, et al.. (2017). Generating Random Networks and Graphs. Oxford University Press eBooks. 19 indexed citations
14.
Annibale, Alessia, et al.. (2015). Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments. Journal of The Royal Society Interface. 12(110). 20150573–20150573. 1 indexed citations
15.
Pandini, Alessandro, et al.. (2015). Bridging topological and functional information in protein interaction networks by short loops profiling. Scientific Reports. 5(1). 15 indexed citations
16.
Bartolucci, Silvia & Alessia Annibale. (2015). A dynamical model of the adaptive immune system: effects of cells promiscuity, antigens and B–B interactions. Journal of Statistical Mechanics Theory and Experiment. 2015(8). P08017–P08017. 2 indexed citations
17.
Sollich, Peter, Daniele Tantari, Alessia Annibale, & Adriano Barra. (2014). Extensive Parallel Processing on Scale-Free Networks. Physical Review Letters. 113(23). 238106–238106. 43 indexed citations
18.
Annibale, Alessia, et al.. (2010). Protein Networks Reveal Detection Bias and Species Consistency When Analysed by Information-Theoretic Methods. PLoS ONE. 5(8). e12083–e12083. 15 indexed citations
19.
Martino, Andrea De, et al.. (2009). Constrained Markovian Dynamics of Random Graphs. Journal of Statistical Physics. 136(6). 1035–1067. 33 indexed citations
20.
Annibale, Alessia, Andrea Cavagna, Irene Giardina, & Giorgio Parisi. (2003). Supersymmetric complexity in the Sherrington-Kirkpatrick model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 61103–61103. 18 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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