M. D’Alessandro

1.2k total citations · 1 hit paper
44 papers, 744 citations indexed

About

M. D’Alessandro is a scholar working on Materials Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. D’Alessandro has authored 44 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 10 papers in Molecular Biology and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. D’Alessandro's work include Prion Diseases and Protein Misfolding (8 papers), Nuclear and radioactivity studies (5 papers) and Graphite, nuclear technology, radiation studies (4 papers). M. D’Alessandro is often cited by papers focused on Prion Diseases and Protein Misfolding (8 papers), Nuclear and radioactivity studies (5 papers) and Graphite, nuclear technology, radiation studies (4 papers). M. D’Alessandro collaborates with scholars based in Italy, France and Switzerland. M. D’Alessandro's co-authors include Andrea Amadei, Maurizio Pocchiari, Rosella Petraroli, Massimiliano Aschi, Mirella Salvatore, Alexander Tenenbaum, Luigi Genovese, Maurizio Genuardi, Carlo Masullo and Albert Hofman and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

M. D’Alessandro

40 papers receiving 723 citations

Hit Papers

Mitochondrial dysfunction in Alzheimer’s disease 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. D’Alessandro Italy 14 373 145 145 141 76 44 744
S. Morozov Russia 17 223 0.6× 150 1.0× 236 1.6× 39 0.3× 31 0.4× 160 1000
Emiliano Ippoliti Germany 18 437 1.2× 135 0.9× 228 1.6× 17 0.1× 67 0.9× 41 903
A. Korotkov Russia 23 290 0.8× 401 2.8× 74 0.5× 65 0.5× 20 0.3× 96 1.4k
Luke A. Miles Australia 19 434 1.2× 53 0.4× 65 0.4× 140 1.0× 81 1.1× 32 1.1k
Hong Zeng United States 12 256 0.7× 108 0.7× 71 0.5× 31 0.2× 134 1.8× 21 776
Yann Fichou United States 16 775 2.1× 202 1.4× 159 1.1× 45 0.3× 17 0.2× 30 1.1k
Zhen Tao United States 20 432 1.2× 79 0.5× 386 2.7× 26 0.2× 14 0.2× 55 1.2k
N. S. Blinov Canada 16 289 0.8× 95 0.7× 237 1.6× 13 0.1× 17 0.2× 25 575
Yihui Huang China 14 763 2.0× 208 1.4× 73 0.5× 20 0.1× 10 0.1× 37 1.5k
W.M.M.J. Bovée Netherlands 22 260 0.7× 181 1.2× 228 1.6× 9 0.1× 35 0.5× 69 1.7k

Countries citing papers authored by M. D’Alessandro

Since Specialization
Citations

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

Fields of papers citing papers by M. D’Alessandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. D’Alessandro. 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 M. D’Alessandro. The network helps show where M. D’Alessandro may publish in the future.

Co-authorship network of co-authors of M. D’Alessandro

This figure shows the co-authorship network connecting the top 25 collaborators of M. D’Alessandro. A scholar is included among the top collaborators of M. D’Alessandro 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 M. D’Alessandro. M. D’Alessandro 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.
D’Alessandro, M., et al.. (2025). Mitochondrial dysfunction in Alzheimer’s disease. Ageing Research Reviews. 107. 102713–102713. 33 indexed citations breakdown →
2.
D’Alessandro, M. & Piet Van Mieghem. (2025). Fractional derivative in continuous-time Markov processes and applications to epidemics in networks. Physical Review Research. 7(1).
3.
Sangalli, Davide, M. D’Alessandro, & Claudio Attaccalite. (2023). Exciton-exciton transitions involving strongly bound excitons: An ab initio approach. Physical review. B.. 107(20). 4 indexed citations
5.
D’Alessandro, M., et al.. (2020). Strain-induced effects on the electronic properties of 2D materials. Nanomaterials and Nanotechnology. 10. 2779212560–2779212560. 44 indexed citations
6.
Wind, Peter, et al.. (2020). Static Polarizabilities at the Basis Set Limit: A Benchmark of 124 Species. Journal of Chemical Theory and Computation. 16(8). 4874–4882. 31 indexed citations
7.
Crescenzo, A. Di, Ivana Cacciatore, Morena Petrini, et al.. (2016). Gold nanoparticles as scaffolds for poor water soluble and difficult to vehiculate antiparkinson codrugs. Nanotechnology. 28(2). 25102–25102. 7 indexed citations
8.
Pocchiari, Maurizio, Anna Poleggi, Maria Puopolo, et al.. (2013). Age at Death of Creutzfeldt-Jakob Disease in Subsequent Family Generation Carrying the E200K Mutation of the Prion Protein Gene. PLoS ONE. 8(4). e60376–e60376. 8 indexed citations
9.
Rispoli, Rosanna, Elisabetta De Angelis, S. Orsini, et al.. (2012). ELENA MCP detector: absolute efficiency measurement for low energy neutral atoms. EGUGA. 8859. 1 indexed citations
10.
D’Alessandro, M., et al.. (2010). Development of a framework of quality assurance practices for a radon passive dosemeter service. Journal of Radiological Protection. 30(2). 149–159. 5 indexed citations
11.
Trevisi, Rosabianca, et al.. (2010). A pilot study on natural radioactivity in schools of south-east Italy. Environment International. 36(3). 276–280. 17 indexed citations
12.
D’Alessandro, M., Maurizio Paci, & Andrea Amadei. (2004). Characterization of the conformational behavior of peptide Contryphan Vn: A theoretical study. Biopolymers. 74(6). 448–456. 8 indexed citations
13.
D’Abramo, Marco, M. D’Alessandro, & Andrea Amadei. (2004). On the use of the quasi-Gaussian entropy theory in the study of simulated dilute solutions. The Journal of Chemical Physics. 120(11). 5226–5234. 10 indexed citations
14.
Amadei, Andrea, M. D’Alessandro, & Massimiliano Aschi. (2004). Statistical Mechanical Modeling of Chemical Reactions in Complex Systems:  The Reaction Free Energy Surface. The Journal of Physical Chemistry B. 108(41). 16250–16254. 43 indexed citations
15.
Arpino, Carla, Susanna Conti, Maria Masocco, et al.. (1999). Creutzfeldt-Jakob Disease Mortality in Italy, 1982–1996. Neuroepidemiology. 18(2). 92–100. 6 indexed citations
16.
Cardone, Franco, Rosella Petraroli, Anna Ladogana, et al.. (1999). Prion protein glycotype analysis in familial and sporadic Creutzfeldt-Jakob disease patients. Brain Research Bulletin. 49(6). 429–433. 33 indexed citations
17.
Pocchiari, Maurizio, Anna Ladogana, Rosella Petraroli, Franco Cardone, & M. D’Alessandro. (1998). Recent Italian FFI Cases. Brain Pathology. 8(3). 564–566. 8 indexed citations
18.
Salvatore, Mirella, Benedetta Nacmias, Rosella Petraroli, et al.. (1995). Apolipoprotein E in sporadic and familial Creutzfeldt-Jakob disease. Neuroscience Letters. 199(2). 95–98. 24 indexed citations
19.
Salvatore, Mirella, Maurizio Genuardi, Rosella Petraroli, et al.. (1994). Polymorphisms of the prion protein gene in Italian patients with Creutzfeldt-Jakob disease. Human Genetics. 94(4). 375–9. 69 indexed citations
20.
Girardi, F., Giuseppe Bertozzi, & M. D’Alessandro. (1977). Long-term risk assessment of radioactive waste disposal in geological formations. Transactions of the American Nuclear Society. 26.

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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