Michele Cascella

2.9k total citations
93 papers, 2.3k citations indexed

About

Michele Cascella is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Michele Cascella has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 28 papers in Atomic and Molecular Physics, and Optics and 22 papers in Materials Chemistry. Recurrent topics in Michele Cascella's work include Protein Structure and Dynamics (27 papers), Spectroscopy and Quantum Chemical Studies (22 papers) and Lipid Membrane Structure and Behavior (14 papers). Michele Cascella is often cited by papers focused on Protein Structure and Dynamics (27 papers), Spectroscopy and Quantum Chemical Studies (22 papers) and Lipid Membrane Structure and Behavior (14 papers). Michele Cascella collaborates with scholars based in Norway, Switzerland and Italy. Michele Cascella's co-authors include Paolo Carloni, Ursula Röthlisberger, Ivano Tavernelli, Odile Eisenstein, Sigbjørn Løland Bore, Jürgen Gauß, Marilisa Neri, Amos Maritan, Olivia Pulci and Matteo Dal Peraro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Michele Cascella

89 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michele Cascella 841 546 535 434 253 93 2.3k
Norio Yoshida 1.0k 1.2× 648 1.2× 672 1.3× 471 1.1× 360 1.4× 275 3.9k
Elsa Sánchez‐García 1.1k 1.4× 385 0.7× 466 0.9× 698 1.6× 462 1.8× 116 2.6k
H. Lee Woodcock 1.2k 1.4× 642 1.2× 742 1.4× 672 1.5× 245 1.0× 78 2.9k
Yuqing Deng 1.7k 2.1× 594 1.1× 535 1.0× 280 0.6× 167 0.7× 40 2.6k
Marco Pagliai 531 0.6× 702 1.3× 864 1.6× 421 1.0× 324 1.3× 121 2.5k
Giacomo Fiorin 1.8k 2.2× 473 0.9× 494 0.9× 220 0.5× 176 0.7× 44 2.9k
David Poger 1.6k 1.9× 367 0.7× 473 0.9× 472 1.1× 156 0.6× 31 2.7k
Visvaldas Kairys 848 1.0× 328 0.6× 577 1.1× 361 0.8× 282 1.1× 64 2.0k
Andreas P. Eichenberger 1.6k 1.9× 627 1.1× 451 0.8× 327 0.8× 149 0.6× 18 2.8k
Michael E. Beck 555 0.7× 389 0.7× 324 0.6× 582 1.3× 223 0.9× 52 2.2k

Countries citing papers authored by Michele Cascella

Since Specialization
Citations

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

Fields of papers citing papers by Michele Cascella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Cascella

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Cascella. A scholar is included among the top collaborators of Michele Cascella 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 Cascella. Michele Cascella 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.
Bortoli, Marco, Daniel T. Bowron, Mario Campana, et al.. (2025). Are Grignard Reactions in Deep Eutectic Solvents Interface‐Driven?. Angewandte Chemie International Edition. 64(42). e202513649–e202513649.
2.
Li, Xinmeng, et al.. (2025). Structure and dynamics of 2x(CENP-A/H4) 2 octasome reveal a possible intermediate in centromeric chromatin. Life Science Alliance. 9(3). e202503377–e202503377.
3.
Prévost, Sylvain, et al.. (2024). Beyond Core–Shell Micellar Structures: Complex Structures in Simple Surfactants. SHILAP Revista de lepidopterología. 6(6). 2 indexed citations
4.
Bore, Sigbjørn Løland, et al.. (2024). Morphology of lithium halides in tetrahydrofuran from molecular dynamics with machine learning potentials. Chemical Science. 15(48). 20355–20364. 3 indexed citations
5.
Kang, Bong Joo, David Rohrbach, Z. Ollmann, et al.. (2024). Time-resolved THz Stark spectroscopy of molecules in solution. Nature Communications. 15(1). 4212–4212. 7 indexed citations
6.
Dawicki-McKenna, Jennine M., et al.. (2023). The structural basis of the multi-step allosteric activation of Aurora B kinase. eLife. 12. 6 indexed citations
7.
Castro, Abril C., Michele Cascella, Robin N. Perutz, Christophe Raynaud, & Odile Eisenstein. (2023). Solid-State 19F NMR Chemical Shift in Square-Planar Nickel–Fluoride Complexes Linked by Halogen Bonds. Inorganic Chemistry. 62(12). 4835–4846. 3 indexed citations
8.
Kast, Peter, et al.. (2023). What Drives Chorismate Mutase to Top Performance? Insights from a Combined In Silico and In Vitro Study. Biochemistry. 62(3). 782–796. 4 indexed citations
9.
Li, Xinmeng, et al.. (2023). HylleraasMD: Massively parallel hybrid particle-fieldmolecular dynamics in Python. The Journal of Open Source Software. 8(84). 4149–4149. 6 indexed citations
10.
Li, Xinmeng, et al.. (2023). Micelle kinetics of photoswitchable surfactants: Self-assembly pathways and relaxation mechanisms. Journal of Colloid and Interface Science. 646. 883–899. 6 indexed citations
11.
Olsen, Jógvan Magnus Haugaard, Viacheslav Bolnykh, Simone Meloni, et al.. (2021). Wavefunction-Based Electrostatic-Embedding QM/MM Using CFOUR through MiMiC. Journal of Chemical Theory and Computation. 18(1). 13–24. 7 indexed citations
12.
Nicola, Antonio De, Thereza A. Soares, Sigbjørn Løland Bore, et al.. (2020). Aggregation of Lipid A Variants: A Hybrid Particle-Field Model. Biochimica et Biophysica Acta (BBA) - General Subjects. 1865(4). 129570–129570. 14 indexed citations
13.
Bore, Sigbjørn Løland, et al.. (2020). Dispersion state phase diagram of citrate-coated metallic nanoparticles in saline solutions. Nature Communications. 11(1). 5422–5422. 73 indexed citations
14.
Castro, Abril C., Heike Fliegl, Michele Cascella, et al.. (2019). Four-component relativistic 31P NMR calculations for trans-platinum(ii) complexes: importance of the solvent and dynamics in spectral simulations. Dalton Transactions. 48(23). 8076–8083. 17 indexed citations
15.
Nicola, Antonio De, Sigbjørn Løland Bore, Gregor Diezemann, et al.. (2018). Hybrid Particle-Field Molecular Dynamics Simulations of Charged Amphiphiles in an Aqueous Environment. Journal of Chemical Theory and Computation. 14(9). 4928–4937. 21 indexed citations
16.
Cascella, Michele, et al.. (2017). Intramolecular structural parameters are key modulators of the gel-liquid transition in coarse grained simulations of DPPC and DOPC lipid bilayers. Biochemical and Biophysical Research Communications. 498(2). 327–333. 10 indexed citations
17.
Stach, Michaela, et al.. (2013). Electrostatics and flexibility drive membrane recognition and early penetration by the antimicrobial peptide dendrimer bH1. Chemical Communications. 49(78). 8821–8821. 29 indexed citations
18.
Collu, Francesca & Michele Cascella. (2013). Multidrug Resistance and Efflux Pumps: Insights from Molecular Dynamics Simulations. Current Topics in Medicinal Chemistry. 13(24). 3165–3183. 19 indexed citations
19.
Simona, Fabio, et al.. (2012). Engineering Tocopherol Selectivity in α-TTP: A Combined In Vitro/In Silico Study. PLoS ONE. 7(11). e49195–e49195. 10 indexed citations
20.
Cannuccia, Elena, Olivia Pulci, Rodolfo Del Sole, & Michele Cascella. (2011). Optical properties of flavin mononucleotide: A QM/MM study of protein environment effects. Chemical Physics. 389(1-3). 35–38. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Norio Yoshida Breakdown of academic impact, for papers by Elsa Sánchez‐García Breakdown of academic impact, for papers by H. Lee Woodcock Breakdown of academic impact, for papers by Yuqing Deng Breakdown of academic impact, for papers by Marco Pagliai Breakdown of academic impact, for papers by Giacomo Fiorin Breakdown of academic impact, for papers by David Poger Breakdown of academic impact, for papers by Visvaldas Kairys Breakdown of academic impact, for papers by Andreas P. Eichenberger Breakdown of academic impact, for papers by Michael E. Beck
Rankless by CCL
2026