Michele Monti

894 total citations
27 papers, 530 citations indexed

About

Michele Monti is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Michele Monti has authored 27 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Global and Planetary Change. Recurrent topics in Michele Monti's work include RNA Research and Splicing (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Protein Structure and Dynamics (3 papers). Michele Monti is often cited by papers focused on RNA Research and Splicing (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Protein Structure and Dynamics (3 papers). Michele Monti collaborates with scholars based in United States, Italy and Spain. Michele Monti's co-authors include Heather Strosnider, Fuyuen Yip, Gian Gaetano Tartaglia, Edoardo Milanetti, Mattia Miotto, Elsa Zacco, Lorenzo Di Rienzo, Giancarlo Ruocco, Jakob Rupert and Ralph J. Coates and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Michele Monti

26 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Monti United States 12 180 119 72 40 37 27 530
Brian Green United States 12 132 0.7× 77 0.6× 127 1.8× 9 0.2× 27 0.7× 28 787
Xuena Liu China 17 118 0.7× 113 0.9× 50 0.7× 44 1.1× 40 1.1× 31 771
Adele Idolo Italy 18 109 0.6× 159 1.3× 103 1.4× 4 0.1× 32 0.9× 36 786
Chantel Sloan United States 14 208 1.2× 172 1.4× 77 1.1× 67 1.7× 42 1.1× 39 1.0k
Wenfeng Gong China 18 161 0.9× 59 0.5× 191 2.7× 43 1.1× 80 2.2× 61 970
Dongmei Yu China 13 37 0.2× 90 0.8× 57 0.8× 41 1.0× 49 1.3× 55 625
Dolores Catelan Italy 20 109 0.6× 378 3.2× 58 0.8× 31 0.8× 58 1.6× 79 1.1k
Hasan Bayram Türkiye 23 189 1.1× 702 5.9× 61 0.8× 10 0.3× 49 1.3× 81 1.6k
Yeonjin Lee South Korea 16 76 0.4× 114 1.0× 32 0.4× 148 3.7× 116 3.1× 39 844
Lei Gong China 13 61 0.3× 68 0.6× 110 1.5× 14 0.3× 16 0.4× 50 492

Countries citing papers authored by Michele Monti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Monti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Monti

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Monti. A scholar is included among the top collaborators of Michele Monti 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 Monti. Michele Monti 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.
2.
Miotto, Mattia, Lorenzo Di Rienzo, Gian Gaetano Tartaglia, et al.. (2024). Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments. Chemical Reviews. 124(7). 3932–3977. 40 indexed citations
3.
Zacco, Elsa, Michele Monti, Stefano Gustincich, et al.. (2024). RNA: The Unsuspected Conductor in the Orchestra of Macromolecular Crowding. Chemical Reviews. 124(8). 4734–4777. 14 indexed citations
4.
Monti, Michele, Edoardo Milanetti, Mattia Miotto, et al.. (2024). Two Receptor Binding Strategy of SARS-CoV-2 Is Mediated by Both the N-Terminal and Receptor-Binding Spike Domain. The Journal of Physical Chemistry B. 128(2). 451–464. 8 indexed citations
5.
Kleizen, Bertrand, et al.. (2023). Transmembrane Helices 7 and 8 Confer Aggregation Sensitivity to the Cystic Fibrosis Transmembrane Conductance Regulator. International Journal of Molecular Sciences. 24(21). 15741–15741. 3 indexed citations
6.
Rupert, Jakob, Michele Monti, Elsa Zacco, & Gian Gaetano Tartaglia. (2023). RNA sequestration driven by amyloid formation: the alpha synuclein case. Nucleic Acids Research. 51(21). 11466–11478. 11 indexed citations
7.
Vandelli, Andrea, Magdalena Arnal, Michele Monti, et al.. (2022). The PRALINE database: protein and Rna humAn singLe nucleotIde variaNts in condEnsates. Bioinformatics. 39(1). 4 indexed citations
8.
Monti, Michele, Alexandros Armaos, Marco Fantini, Annalisa Pastore, & Gian Gaetano Tartaglia. (2021). Aggregation is a Context-Dependent Constraint on Protein Evolution. Frontiers in Molecular Biosciences. 8. 678115–678115. 8 indexed citations
9.
Rienzo, Lorenzo Di, Michele Monti, Edoardo Milanetti, et al.. (2021). Computational optimization of angiotensin-converting enzyme 2 for SARS-CoV-2 Spike molecular recognition. Computational and Structural Biotechnology Journal. 19. 3006–3014. 12 indexed citations
10.
Monti, Michele, Alessio Paone, Serena Rinaldo, et al.. (2021). Modelling of SHMT1 riboregulation predicts dynamic changes of serine and glycine levels across cellular compartments. Computational and Structural Biotechnology Journal. 19. 3034–3041. 11 indexed citations
11.
Vandelli, Andrea, Michele Monti, Edoardo Milanetti, et al.. (2020). Structural analysis of SARS-CoV-2 genome and predictions of the human interactome. Nucleic Acids Research. 48(20). 11270–11283. 72 indexed citations
12.
Milanetti, Edoardo, Mattia Miotto, Lorenzo Di Rienzo, et al.. (2020). 2D Zernike polynomial expansion: Finding the protein-protein binding regions. Computational and Structural Biotechnology Journal. 19. 29–36. 31 indexed citations
13.
Monti, Michele, Felicita David, Mikyong Shin, & A. Vaidyanathan. (2019). Community drinking water data on the National Environmental Public Health Tracking Network: a surveillance summary of data from 2000 to 2010. Environmental Monitoring and Assessment. 191(9). 557–557. 9 indexed citations
14.
Monti, Michele, David K. Lubensky, & Pieter Rein ten Wolde. (2018). Robustness of Clocks to Input Noise. Physical Review Letters. 121(7). 78101–78101. 12 indexed citations
15.
Monti, Michele, David K. Lubensky, & Pieter Rein ten Wolde. (2018). Optimal entrainment of circadian clocks in the presence of noise. Physical review. E. 97(3). 32405–32405. 10 indexed citations
16.
Coates, Ralph J., Martha Stanbury, Ruth Ann Jajosky, et al.. (2016). Introduction to the Summary of Notifiable Noninfectious Conditions and Disease Outbreaks — United States. MMWR Morbidity and Mortality Weekly Report. 63(55). 1–4. 68 indexed citations
17.
Hao, Yongping, et al.. (2012). U.S. census unit population exposures to ambient air pollutants. International Journal of Health Geographics. 11(1). 3–3. 23 indexed citations
18.
Harris, Shelley A., et al.. (2008). Fish and shellfish consumption estimates and perceptions of risk in a cohort of occupational and recreational fishers of the Chesapeake Bay. Environmental Research. 109(1). 108–115. 14 indexed citations
19.
Parsons, Lawrence M., et al.. (2005). Neural correlates of deductive inference: A language-independent distributed network. Acta Neurobiologiae Experimentalis. 65(5). 1 indexed citations
20.
Smith, David E. & Michele Monti. (1993). Regulation of environmental science : testing an exotic oyster species, Crassostrea gigas, in the Chesapeake Bay ecosystem. 1 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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