Riccardo Pellarin

4.8k total citations
57 papers, 3.2k citations indexed

About

Riccardo Pellarin is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Riccardo Pellarin has authored 57 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 12 papers in Materials Chemistry and 9 papers in Physiology. Recurrent topics in Riccardo Pellarin's work include Protein Structure and Dynamics (19 papers), Alzheimer's disease research and treatments (9 papers) and RNA and protein synthesis mechanisms (8 papers). Riccardo Pellarin is often cited by papers focused on Protein Structure and Dynamics (19 papers), Alzheimer's disease research and treatments (9 papers) and RNA and protein synthesis mechanisms (8 papers). Riccardo Pellarin collaborates with scholars based in France, United States and Switzerland. Riccardo Pellarin's co-authors include Amedeo Caflisch, Andrej Săli, Andrea Cavalli, Gian Gaetano Tartaglia, Enrico Guarnera, Massimiliano Bonomi, Ran Friedman, Dina Schneidman‐Duhovny, Marino Convertino and Javier Fernández-Martı́nez and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Riccardo Pellarin

56 papers receiving 3.1k citations

Peers

Riccardo Pellarin
Nikolaos G. Sgourakis United States
Riccardo Pellarin
Citations per year, relative to Riccardo Pellarin Riccardo Pellarin (= 1×) peers Nikolaos G. Sgourakis

Countries citing papers authored by Riccardo Pellarin

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Pellarin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Pellarin

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Pellarin. A scholar is included among the top collaborators of Riccardo Pellarin 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 Riccardo Pellarin. Riccardo Pellarin 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.
Schmidtke, Danica T., Artémis Kosta, Florian Stengel, et al.. (2024). Assembly of a unique membrane complex in type VI secretion systems of Bacteroidota. Nature Communications. 15(1). 429–429. 14 indexed citations
2.
Pellarin, Riccardo, et al.. (2024). Kinetic principles of chemical cross-link formation for protein–protein interactions. Proceedings of the National Academy of Sciences. 121(51). e2402040121–e2402040121. 3 indexed citations
3.
Bonhomme, Frédéric, Patrick England, Riccardo Pellarin, et al.. (2023). Interrogating Aptamer Chemical Space Through Modified Nucleotide Substitution Facilitated by Enzymatic DNA Synthesis. ChemBioChem. 25(1). e202300539–e202300539. 10 indexed citations
4.
Pellarin, Riccardo, et al.. (2022). Coevolution-Guided Mapping of the Type VI Secretion Membrane Complex-Baseplate Interface. Journal of Molecular Biology. 435(2). 167918–167918. 3 indexed citations
5.
Rey, Martial, Youxin Kong, Magalie Duchateau, et al.. (2021). Advanced In Vivo Cross-Linking Mass Spectrometry Platform to Characterize Proteome-Wide Protein Interactions. Analytical Chemistry. 93(9). 4166–4174. 28 indexed citations
6.
Rapisarda, Chiara, Yassine Cherrak, Romain Kooger, et al.. (2019). In situ and high‐resolution cryo‐ EM structure of a bacterial type VI secretion system membrane complex. The EMBO Journal. 38(10). 74 indexed citations
7.
Cherrak, Yassine, Chiara Rapisarda, Riccardo Pellarin, et al.. (2018). Biogenesis and structure of a type VI secretion baseplate. Nature Microbiology. 3(12). 1404–1416. 72 indexed citations
8.
Kim, Seung Joong, Javier Fernández-Martı́nez, Yi Shi, et al.. (2016). Molecular Architecture of the Nup82 Complex, the Cytoplasmic mRNA Export Platform in the Nuclear Pore Complex. Biophysical Journal. 110(3). 347a–347a. 1 indexed citations
9.
Chen, Zhuo A., Riccardo Pellarin, Lutz Fischer, et al.. (2016). Structure of Complement C3(H2O) Revealed By Quantitative Cross-Linking/Mass Spectrometry And Modeling. Molecular & Cellular Proteomics. 15(8). 2730–2743. 57 indexed citations
10.
Luo, Jie, Peter Cimermančič, Shruthi Viswanath, et al.. (2015). Architecture of the Human and Yeast General Transcription and DNA Repair Factor TFIIH. Molecular Cell. 59(5). 794–806. 74 indexed citations
11.
Erzberger, Jan P., Florian Stengel, Riccardo Pellarin, et al.. (2014). Molecular Architecture of the 40S⋅eIF1⋅eIF3 Translation Initiation Complex. Cell. 158(5). 1123–1135. 173 indexed citations
12.
Shi, Yi, Javier Fernández-Martı́nez, Elina Tjioe, et al.. (2014). Structural Characterization by Cross-linking Reveals the Detailed Architecture of a Coatomer-related Heptameric Module from the Nuclear Pore Complex. Molecular & Cellular Proteomics. 13(11). 2927–2943. 130 indexed citations
13.
Pellarin, Riccardo, Dina Schneidman‐Duhovny, Xiujun Zhang, et al.. (2014). Molecular Architecture of Photoreceptor Phosphodiesterase Elucidated by Chemical Cross-Linking and Integrative Modeling. Journal of Molecular Biology. 426(22). 3713–3728. 33 indexed citations
14.
Parmeggiani, Fabio, et al.. (2012). Optimization of designed armadillo repeat proteins by molecular dynamics simulations and NMR spectroscopy. Protein Science. 21(9). 1298–1314. 36 indexed citations
15.
Scherzer‐Attali, Roni, Riccardo Pellarin, Marino Convertino, et al.. (2010). Complete Phenotypic Recovery of an Alzheimer's Disease Model by a Quinone-Tryptophan Hybrid Aggregation Inhibitor. PLoS ONE. 5(6). e11101–e11101. 126 indexed citations
16.
Friedman, Ran, Riccardo Pellarin, & Amedeo Caflisch. (2008). Amyloid Aggregation on Lipid Bilayers and Its Impact on Membrane Permeability. Journal of Molecular Biology. 387(2). 407–415. 109 indexed citations
17.
Pellarin, Riccardo & Amedeo Caflisch. (2006). Interpreting the Aggregation Kinetics of Amyloid Peptides. Journal of Molecular Biology. 360(4). 882–892. 223 indexed citations
18.
Tartaglia, Gian Gaetano, Andrea Cavalli, Riccardo Pellarin, & Amedeo Caflisch. (2005). Prediction of aggregation rate and aggregation‐prone segments in polypeptide sequences. Protein Science. 14(10). 2723–2734. 180 indexed citations
19.
Tartaglia, Gian Gaetano, Riccardo Pellarin, Andrea Cavalli, & Amedeo Caflisch. (2005). Organism complexity anti‐correlates with proteomic β‐aggregation propensity. Protein Science. 14(10). 2735–2740. 31 indexed citations
20.
Gallo, Paola, Riccardo Pellarin, & M. Rovere. (2003). Slow dynamics of a confined supercooled binary mixture. II.Qspace analysis. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 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.

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