Marco Vanoni

6.0k total citations
148 papers, 3.9k citations indexed

About

Marco Vanoni is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Marco Vanoni has authored 148 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Molecular Biology, 24 papers in Oncology and 22 papers in Biomedical Engineering. Recurrent topics in Marco Vanoni's work include Fungal and yeast genetics research (50 papers), Protein Kinase Regulation and GTPase Signaling (25 papers) and Microbial Metabolic Engineering and Bioproduction (21 papers). Marco Vanoni is often cited by papers focused on Fungal and yeast genetics research (50 papers), Protein Kinase Regulation and GTPase Signaling (25 papers) and Microbial Metabolic Engineering and Bioproduction (21 papers). Marco Vanoni collaborates with scholars based in Italy, United States and Germany. Marco Vanoni's co-authors include Lilia Alberghina, Enzo Martegani, Paola Coccetti, Elena Sacco, Ferdinando Chiaradonna, Daniela Gaglio, Marina Vai, Julius Marmur, Cristina Ferrari and Renata Zippel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Marco Vanoni

142 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Vanoni Italy 35 3.1k 561 535 481 445 148 3.9k
Luke L. Lairson United States 28 3.2k 1.0× 394 0.7× 347 0.6× 262 0.5× 368 0.8× 62 4.7k
David Schieltz United States 29 5.7k 1.8× 198 0.4× 441 0.8× 718 1.5× 293 0.7× 49 7.3k
Carrie Baker Brachmann United States 25 4.2k 1.3× 209 0.4× 549 1.0× 737 1.5× 288 0.6× 45 5.5k
Mirvat El‐Sibai Lebanon 30 1.2k 0.4× 346 0.6× 428 0.8× 566 1.2× 191 0.4× 79 2.4k
Alessandro Datti Canada 36 2.7k 0.9× 618 1.1× 812 1.5× 339 0.7× 201 0.5× 97 4.1k
Laurent Daviet France 39 3.6k 1.1× 326 0.6× 568 1.1× 981 2.0× 187 0.4× 62 4.9k
Andrew Willems Canada 19 5.5k 1.7× 349 0.6× 808 1.5× 1.1k 2.2× 241 0.5× 25 6.5k
Éric Bonneil Canada 40 3.4k 1.1× 336 0.6× 798 1.5× 447 0.9× 412 0.9× 104 4.8k
Young‐Ki Paik South Korea 40 3.1k 1.0× 418 0.7× 475 0.9× 291 0.6× 166 0.4× 159 5.2k
James V. Falvo United States 18 3.9k 1.2× 403 0.7× 363 0.7× 806 1.7× 156 0.4× 20 5.1k

Countries citing papers authored by Marco Vanoni

Since Specialization
Citations

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

Fields of papers citing papers by Marco Vanoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Vanoni

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Vanoni. A scholar is included among the top collaborators of Marco Vanoni 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 Marco Vanoni. Marco Vanoni 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.
Vanoni, Marco, et al.. (2025). Adaptive Laboratory Evolution and Carbon/Nitrogen Imbalance Promote High-Yield Ammonia Release in Saccharomyces cerevisiae. Microorganisms. 13(2). 268–268. 1 indexed citations
2.
Santambrogio, Carlo, et al.. (2024). An Efficient Method for Vault Nanoparticle Conjugation with Finely Adjustable Amounts of Antibodies and Small Molecules. International Journal of Molecular Sciences. 25(12). 6629–6629.
3.
Petta, Dalila, Giuseppe Talò, Lorenzo Bonetti, et al.. (2024). A personalized osteoarthritic joint-on-a-chip as a screening platform for biological treatments. Materials Today Bio. 26. 101072–101072. 5 indexed citations
4.
Galuzzi, Bruno G., Stefano Izzo, Fabio Giampaolo, et al.. (2023). Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. BOA (University of Milano-Bicocca). 185–192. 1 indexed citations
5.
Belfiore, Antonino, Elena Sacco, Marco Vanoni, et al.. (2023). Progranulin Oncogenic Network in Solid Tumors. Cancers. 15(6). 1706–1706. 16 indexed citations
6.
Ami, Diletta, Elena Angeli, Annalisa Relini, et al.. (2023). HspB8 interacts with BAG3 in a “native‐like” conformation forming a complex that displays chaperone‐like activity. Protein Science. 32(7). e4687–e4687. 6 indexed citations
7.
Palumbo, Pasquale, et al.. (2023). A cell growth model accounting for both ribosomal sub-units synthesis: conditions for the exponential growth. IFAC-PapersOnLine. 56(2). 7240–7245.
8.
Bonanomi, Marcella, Giulia Fiscon, Federica Conte, et al.. (2021). Transcriptomics and Metabolomics Integration Reveals Redox-Dependent Metabolic Rewiring in Breast Cancer Cells. Cancers. 13(20). 5058–5058. 13 indexed citations
9.
Gilardi, Mara, Zhiyong Wang, Marco Proietto, et al.. (2020). Tipifarnib as a Precision Therapy for HRAS -Mutant Head and Neck Squamous Cell Carcinomas. Molecular Cancer Therapeutics. 19(9). 1784–1796. 78 indexed citations
10.
Damiani, Chiara, Davide Maspero, Marzia Di Filippo, et al.. (2019). Integration of single-cell RNA-seq data into population models to characterize cancer metabolism. PLoS Computational Biology. 15(2). e1006733–e1006733. 74 indexed citations
11.
Damiani, C., Riccardo Colombo, Daniela Gaglio, et al.. (2017). A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect. PLoS Computational Biology. 13(9). e1005758–e1005758. 77 indexed citations
12.
Palumbo, Pasquale, et al.. (2016). Whi5 phosphorylation embedded in the G1/S network dynamically controls critical cell size and cell fate. Nature Communications. 7(1). 11372–11372. 31 indexed citations
13.
Alberghina, Lilia, et al.. (2014). A Systems Biology Road Map for the Discovery of Drugs Targeting Cancer Cell Metabolism. Current Pharmaceutical Design. 20(15). 2648–2666. 9 indexed citations
14.
Alberghina, Lilia, et al.. (2011). Cell growth and cell cycle in Saccharomyces cerevisiae: Basic regulatory design and protein–protein interaction network. Biotechnology Advances. 30(1). 52–72. 43 indexed citations
15.
Balestrieri, Chiara, Lilia Alberghina, Marco Vanoni, & Ferdinando Chiaradonna. (2009). Data recovery and integration from public databases uncovers transformation-specific transcriptional downregulation of cAMP-PKA pathway-encoding genes. BMC Bioinformatics. 10(S12). S1–S1. 6 indexed citations
17.
Coccetti, Paola, Vittoria Zinzalla, Gabriella Tedeschi, et al.. (2006). Sic1 is phosphorylated by CK2 on Ser201 in budding yeast cells. Biochemical and Biophysical Research Communications. 346(3). 786–793. 21 indexed citations
18.
Fusi, Paola, K. Goossens, Roberto Consonni, et al.. (1997). Extreme heat- and pressure-resistant 7-kDa protein P2 from the archaeonSulfolobus solfataricus is dramatically destabilized by a single-point amino acid substitution. Proteins Structure Function and Bioinformatics. 29(3). 381–390. 25 indexed citations
19.
Vanoni, Marco, et al.. (1989). Structure and Regulation of the Multigene Family Controlling Maltose Fermentation in Budding Yeast. Progress in nucleic acid research and molecular biology. 37. 281–322. 48 indexed citations
20.
Alberghina, Lilia, Luigi Mariani, Enzo Martegani, & Marco Vanoni. (1983). Analysis of protein distribution in budding yeast. Biotechnology and Bioengineering. 25(5). 1295–1310. 51 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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