Michele Caselle

4.1k total citations
160 papers, 2.5k citations indexed

About

Michele Caselle is a scholar working on Condensed Matter Physics, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, Michele Caselle has authored 160 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Condensed Matter Physics, 59 papers in Nuclear and High Energy Physics and 54 papers in Molecular Biology. Recurrent topics in Michele Caselle's work include Theoretical and Computational Physics (53 papers), Quantum Chromodynamics and Particle Interactions (50 papers) and Black Holes and Theoretical Physics (29 papers). Michele Caselle is often cited by papers focused on Theoretical and Computational Physics (53 papers), Quantum Chromodynamics and Particle Interactions (50 papers) and Black Holes and Theoretical Physics (29 papers). Michele Caselle collaborates with scholars based in Italy, Germany and France. Michele Caselle's co-authors include Davide Corà, Martin Hasenbusch, Matteo Osella, Carla Bosia, Marco Panero, F. Gliozzi, Paolo Provero, A. D’Adda, Laura Cantini and Enzo Médico and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Michele Caselle

153 papers receiving 2.5k citations

Peers

Michele Caselle
Jean Thierry‐Mieg United States
Jeffrey H. Chuang United States
Robert G. Edwards United States
Frank Lee United States
Ruth M. Williams United Kingdom
F. Hayot United States
A. Krasnitz United States
Jean Thierry‐Mieg United States
Michele Caselle
Citations per year, relative to Michele Caselle Michele Caselle (= 1×) peers Jean Thierry‐Mieg

Countries citing papers authored by Michele Caselle

Since Specialization
Citations

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

Fields of papers citing papers by Michele Caselle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Caselle

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Caselle. A scholar is included among the top collaborators of Michele Caselle 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 Michele Caselle. Michele Caselle 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.
Caselle, Michele, et al.. (2025). Exploring the latent space of transcriptomic data with topic modeling. NAR Genomics and Bioinformatics. 7(2). lqaf049–lqaf049.
2.
Caselle, Michele, et al.. (2025). Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows. Journal of High Energy Physics. 2025(2). 4 indexed citations
3.
Caselle, Michele, et al.. (2025). The intrinsic dimension of gene expression during cell differentiation. Nucleic Acids Research. 53(16).
4.
Caselle, Michele, et al.. (2025). Ranking nodes in bipartite systems with a non-linear iterative map. Communications Physics. 8(1). 2 indexed citations
5.
Barillot, Emmanuel, et al.. (2024). Identification of Interpretable Clusters and Associated Signatures in Breast Cancer Single-Cell Data: A Topic Modeling Approach. Cancers. 16(7). 1350–1350. 4 indexed citations
6.
Marino, Roberta, Vanesa Bol, Michele Caselle, et al.. (2024). An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease. npj Systems Biology and Applications. 10(1). 125–125. 1 indexed citations
7.
Caselle, Michele, et al.. (2024). Ising string beyond the Nambu-Goto action. Physical review. D. 109(3). 3 indexed citations
8.
Caselle, Michele, et al.. (2024). Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows. Journal of High Energy Physics. 2024(2). 7 indexed citations
9.
Singh, Abhyudai, et al.. (2023). Out-of-equilibrium gene expression fluctuations in the presence of extrinsic noise. Physical Biology. 20(5). 56007–56007. 4 indexed citations
10.
Scialdone, Antonio, et al.. (2023). Emergent statistical laws in single-cell transcriptomic data. Physical review. E. 107(4). 44403–44403. 8 indexed citations
11.
Nakahara, Thiago S., M. Makhlouf, Lisa Sara Mathew, et al.. (2022). A 3D transcriptomics atlas of the mouse nose sheds light on the anatomical logic of smell. Cell Reports. 38(12). 110547–110547. 18 indexed citations
12.
Osella, Matteo, et al.. (2022). Multiomics Topic Modeling for Breast Cancer Classification. Cancers. 14(5). 1150–1150. 8 indexed citations
13.
Bonati, Claudio, et al.. (2021). The Unreasonable effectiveness of effective string theory: The case of the 3D SU(2) Higgs model. Physical review. D. 104(5). 8 indexed citations
14.
Bruni, Francesco, Teresa Anna Giancaspero, Mislav Oreb, et al.. (2021). Subcellular Localization of Fad1p in Saccharomyces cerevisiae: A Choice at Post-Transcriptional Level?. Life. 11(9). 967–967. 2 indexed citations
15.
Riba, Andrea, et al.. (2020). A Model-Driven Quantitative Analysis of Retrotransposon Distributions in the Human Genome. Genome Biology and Evolution. 12(11). 2045–2059. 2 indexed citations
16.
Billó, M., et al.. (2020). TT¯ deformation of the compactified boson and its interpretation in lattice gauge theory. Physical review. D. 102(1). 6 indexed citations
17.
Greco, Alessandro, Jon Sánchez-Valle, Véra Pancaldi, et al.. (2019). Molecular Inverse Comorbidity between Alzheimer’s Disease and Lung Cancer: New Insights from Matrix Factorization. International Journal of Molecular Sciences. 20(13). 3114–3114. 11 indexed citations
18.
Orso, Francesca, Federico Virga, Elisa Penna, et al.. (2016). miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer. Cancer Research. 76(17). 5151–5162. 61 indexed citations
19.
Grassi, Luigi, Michele Caselle, Martin J. Lercher, & Marco Cosentino Lagomarsino. (2012). Horizontal gene transfers as metagenomic gene duplications. Molecular BioSystems. 8(3). 790–795. 7 indexed citations
20.
Grassi, Luigi, Diana Fusco, Davide Corà, et al.. (2010). Identity and divergence of protein domain architectures after the yeast whole-genome duplication event. Molecular BioSystems. 6(11). 2305–2315. 17 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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