M. Tomasi

87.6k total citations
43 papers, 839 citations indexed

About

M. Tomasi is a scholar working on Molecular Biology, Immunology and Biotechnology. According to data from OpenAlex, M. Tomasi has authored 43 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Biotechnology. Recurrent topics in M. Tomasi's work include Glycosylation and Glycoproteins Research (9 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Transgenic Plants and Applications (6 papers). M. Tomasi is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Transgenic Plants and Applications (6 papers). M. Tomasi collaborates with scholars based in Italy, United States and Germany. M. Tomasi's co-authors include Cesare Montecucco, Rino Rappuoli, G D'Agnolo, Charles O. Elson, L. Giorgio Roda, Tommaso Anfodillo, Hervé Cochard, Erwin Dreyer, Emanuele Papini and Riccardo Valentini and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

M. Tomasi

39 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Tomasi Italy 16 378 246 140 122 104 43 839
Cheng Ji China 22 391 1.0× 85 0.3× 63 0.5× 40 0.3× 14 0.1× 67 1.5k
Tomoko Yamamoto Japan 25 790 2.1× 105 0.4× 55 0.4× 184 1.5× 16 0.2× 89 1.9k
Gretchen King United States 22 629 1.7× 91 0.4× 68 0.5× 53 0.4× 9 0.1× 31 1.5k
Jiu Jiang United States 17 205 0.5× 1.2k 4.7× 81 0.6× 69 0.6× 57 0.5× 36 1.5k
R. B. R. Persson Sweden 17 301 0.8× 97 0.4× 129 0.9× 26 0.2× 24 0.2× 42 898
Nathalie Majeau Canada 20 524 1.4× 104 0.4× 25 0.2× 181 1.5× 17 0.2× 32 977
Katalin Lukács Hungary 15 200 0.5× 301 1.2× 39 0.3× 53 0.4× 5 0.0× 49 882
Silvia Juárez United States 19 383 1.0× 272 1.1× 29 0.2× 26 0.2× 6 0.1× 23 1.1k
Monika Grote Germany 23 462 1.2× 82 0.3× 28 0.2× 47 0.4× 62 0.6× 67 1.8k
Kiyoshi Higuchi Japan 14 367 1.0× 38 0.2× 31 0.2× 30 0.2× 12 0.1× 45 966

Countries citing papers authored by M. Tomasi

Since Specialization
Citations

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

Fields of papers citing papers by M. Tomasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tomasi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tomasi. A scholar is included among the top collaborators of M. Tomasi 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. Tomasi. M. Tomasi 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.
Tomasi, M., Carlo De Santi, Matteo Buffolo, et al.. (2025). Systematic analysis of the trapping and reliability of Al2O3/GaN MOS capacitors with different atomic layer deposition techniques. Materials Science in Semiconductor Processing. 195. 109619–109619.
2.
Meneghini, Matteo, Nicolò Zagni, Matteo Buffolo, et al.. (2024). Vertical GaN Devices: Reliability Challenges and Lessons Learned from Si and SiC. SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations
3.
Tomasi, M. & Zack Li. (2021). Healpix.jl: Julia-only port of the HEALPix library. Astrophysics Source Code Library. 2 indexed citations
4.
Krachmalnicoff, N. & M. Tomasi. (2019). Convolutional neural networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis. Springer Link (Chiba Institute of Technology). 11 indexed citations
5.
Tomasi, M., et al.. (2012). Human β2-glycoprotein I attenuates mouse intestinal ischemia/reperfusion induced injury and inflammation. Molecular Immunology. 52(3-4). 207–216. 3 indexed citations
6.
Gasperin, F. de, A. Mennella, D. Maino, et al.. (2011). Effect of Fourier filters in removing periodic systematic effects from CMB data. Astronomy and Astrophysics. 529. A141–A141.
7.
Tcheremenskaia, Olga, Alessandro Giuliani, & M. Tomasi. (2008). PROFALIGN Algorithm Identifies the Regions Containing Folding Determinants by Scoring Pairs of Hydrophobic Profiles of Remotely Related Proteins. Journal of Computational Biology. 15(4). 445–455. 1 indexed citations
8.
Walter, Mark R., et al.. (2007). Isolation of flagellated bacteria implicated in Crohnʼs disease. Inflammatory Bowel Diseases. 13(10). 1191–1201. 98 indexed citations
10.
Pizzeghello, Diego, et al.. (2001). Effect of humic substances extracted from pasture and forested soils on plant metabolism. Fresenius environmental bulletin. 10. 217–220. 1 indexed citations
11.
Giuliani, Alessandro & M. Tomasi. (2001). Recurrence quantification analysis reveals interaction partners in paramyxoviridae envelope glycoproteins. Proteins Structure Function and Bioinformatics. 46(2). 171–176. 15 indexed citations
12.
Bellini, Tiziana, et al.. (1999). Anomeric Specificity and Protein–Substrate Interactions Support the 3D Model for the Hemagglutinin–Neuraminidase from Sendai Virus. Biochemical and Biophysical Research Communications. 262(2). 401–405. 3 indexed citations
13.
Tomasi, M., Mark T. Dertzbaugh, Thomas L. Hearn, Robert L. Hunter, & Charles O. Elson. (1997). Strong mucosal adjuvanticity of cholera toxin within lipid particles of a new multiple emulsion delivery system for oral immunization. European Journal of Immunology. 27(10). 2720–2725. 18 indexed citations
14.
Elson, Charles O., et al.. (1996). Oral‐Antigen Delivery by way of a Multiple Emulsion System Enhances Oral Tolerancea. Annals of the New York Academy of Sciences. 778(1). 156–162. 20 indexed citations
15.
Granier, A., Tommaso Anfodillo, Maurizio Sabatti, et al.. (1994). Axial and radial water flow in the trunks of oak trees: a quantitative and qualitative analysis. Tree Physiology. 14(12). 1383–1396. 153 indexed citations
16.
Bellini, Tiziana, M. Tomasi, & Franco Dallocchio. (1993). Selective modification of Sendai virus hemagglutinin neuraminidase by pyridoxal 5′-phosphate: evidence for an allosteric modulation of neuraminidase activity. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1161(2-3). 323–327. 5 indexed citations
17.
Baiocchi, Marta, et al.. (1988). Selective extraction of haemagglutinin and matrix protein from Sendai virions by employing trifluoperazine as a detergent. FEBS Letters. 238(1). 171–174. 5 indexed citations
18.
Papini, Emanuele, Giampietro Schiavo, M. Tomasi, et al.. (1987). Lipid interaction of diphtheria toxin and mutants with altered fragment B. European Journal of Biochemistry. 169(3). 637–644. 59 indexed citations
19.
Papini, Emanuele, et al.. (1987). Lipid interaction of diphtheria toxin and mutants with altered fragment B. European Journal of Biochemistry. 169(3). 629–635. 33 indexed citations
20.
Montecucco, Cesare, M. Tomasi, Giampietro Schiavo, & Rino Rappuoli. (1986). Hydrophobic photolabelling of pertussis toxin subunits interacting with lipids. FEBS Letters. 194(2). 301–304. 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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