Giorgio Colombo

9.9k total citations
262 papers, 7.7k citations indexed

About

Giorgio Colombo is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Giorgio Colombo has authored 262 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Molecular Biology, 51 papers in Materials Chemistry and 47 papers in Computational Theory and Mathematics. Recurrent topics in Giorgio Colombo's work include Protein Structure and Dynamics (113 papers), Heat shock proteins research (57 papers) and Enzyme Structure and Function (47 papers). Giorgio Colombo is often cited by papers focused on Protein Structure and Dynamics (113 papers), Heat shock proteins research (57 papers) and Enzyme Structure and Function (47 papers). Giorgio Colombo collaborates with scholars based in Italy, United States and Germany. Giorgio Colombo's co-authors include Giulia Morra, Massimiliano Meli, Elisabetta Moroni, Danilo Roccatano, Alan E. Mark, Marco Fioroni, Giacomo Mori, Kenneth M. Merz, Gennady M. Verkhivker and Andrea Rasola and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Giorgio Colombo

252 papers receiving 7.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Colombo Italy 47 5.9k 992 968 656 594 262 7.7k
Yifei Qi United States 28 6.0k 1.0× 807 0.8× 680 0.7× 652 1.0× 435 0.7× 70 8.1k
Kevin Hauser United States 9 5.9k 1.0× 1.2k 1.3× 1.1k 1.2× 771 1.2× 458 0.8× 13 8.6k
Koushik Kasavajhala United States 7 6.7k 1.1× 1.4k 1.4× 1.3k 1.4× 900 1.4× 500 0.8× 9 9.4k
Lauren Wickstrom United States 17 6.3k 1.1× 1.3k 1.3× 1.3k 1.4× 817 1.2× 432 0.7× 23 8.8k
Wim Vranken Belgium 33 6.6k 1.1× 767 0.8× 1.6k 1.7× 563 0.9× 478 0.8× 106 8.8k
Jens Erik Nielsen Ireland 31 6.9k 1.2× 941 0.9× 1.6k 1.7× 713 1.1× 588 1.0× 62 9.6k
Adrian Goldman Finland 44 7.0k 1.2× 1.1k 1.1× 1.5k 1.6× 972 1.5× 681 1.1× 178 10.8k
Martin Zacharias Germany 53 8.2k 1.4× 1.3k 1.3× 1.7k 1.7× 466 0.7× 1.1k 1.9× 346 10.4k
Ursula Pieper United States 38 7.3k 1.2× 802 0.8× 1.3k 1.4× 1.1k 1.7× 649 1.1× 81 10.8k
Dina Schneidman‐Duhovny United States 41 7.2k 1.2× 1.3k 1.3× 1.8k 1.9× 543 0.8× 701 1.2× 84 10.0k

Countries citing papers authored by Giorgio Colombo

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Colombo

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Colombo. A scholar is included among the top collaborators of Giorgio Colombo 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 Giorgio Colombo. Giorgio Colombo 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.
Serapian, Stefano A., et al.. (2025). Large-scale energy decomposition for the analysis of protein stability. Cell Stress and Chaperones. 30(1). 57–68.
2.
Serapian, Stefano A., Dirk Tischler, Giorgio Colombo, et al.. (2025). Dehydrogenase versus Oxidase Function: The Interplay between Substrate Binding and Flavin Microenvironment. ACS Catalysis. 15(2). 1046–1060. 1 indexed citations
3.
Shao, Hao, et al.. (2025). Pathogenic mutation impairs functional dynamics of Hsp60 in mono- and oligomeric states. Nature Communications. 16(1). 3158–3158. 2 indexed citations
4.
Rubeis, Silvia De, et al.. (2025). Impact of Genetic Variants Associated with Neurodevelopmental Disorders on the WAVE Regulatory Complex. Journal of Chemical Information and Modeling. 65(14). 7399–7405.
5.
6.
Frigerio, Francesco, et al.. (2024). Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands. Journal of Chemical Theory and Computation. 20(20). 9209–9229. 8 indexed citations
7.
Colombo, Giorgio. (2023). Computing allostery: from the understanding of biomolecular regulation and the discovery of cryptic sites to molecular design. Current Opinion in Structural Biology. 83. 102702–102702. 17 indexed citations
8.
Castelli, Matteo, Pengrong Yan, Anna Rodina, et al.. (2023). How aberrant N-glycosylation can alter protein functionality and ligand binding: An atomistic view. Structure. 31(8). 987–1004.e8. 18 indexed citations
9.
Tiwari, Om Shanker, Ruth Aizen, Massimiliano Meli, et al.. (2023). Entropically-Driven Co-assembly of l-Histidine and l-Phenylalanine to Form Supramolecular Materials. ACS Nano. 17(4). 3506–3517. 28 indexed citations
10.
Colombo, Giorgio, et al.. (2023). Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens. Journal of Chemical Theory and Computation. 19(16). 5315–5333. 24 indexed citations
11.
Serapian, Stefano A., et al.. (2021). Exploiting Folding and Degradation Machineries To Target Undruggable Proteins: What Can a Computational Approach Tell Us?. ChemMedChem. 16(10). 1593–1599. 2 indexed citations
12.
Nitti, Andrea, Enrica Chiesa, Antxon Martı́nez de Ilarduya, et al.. (2021). Biocompatible graft copolymers from bacterial poly(γ-glutamic acid) and poly(lactic acid). Polymer Chemistry. 12(26). 3784–3793. 24 indexed citations
13.
Serapian, Stefano A. & Giorgio Colombo. (2019). Designing Molecular Spanners to Throw in the Protein Networks. Chemistry - A European Journal. 26(21). 4656–4670. 25 indexed citations
14.
Jimenez‐Pascual, Ana, James S. Hale, Daniel J. Silver, et al.. (2019). ADAMDEC1 Maintains a Growth Factor Signaling Loop in Cancer Stem Cells. Cancer Discovery. 9(11). 1574–1589. 56 indexed citations
15.
Montefiori, Marco, Simona Pilotto, Elisabetta Moroni, et al.. (2019). Impact of Mutations on NPAC Structural Dynamics: Mechanistic Insights from MD Simulations. Journal of Chemical Information and Modeling. 59(9). 3927–3937. 24 indexed citations
16.
Moroni, Elisabetta, David A. Agard, & Giorgio Colombo. (2018). The Structural Asymmetry of Mitochondrial Hsp90 (Trap1) Determines Fine Tuning of Functional Dynamics. Journal of Chemical Theory and Computation. 14(2). 1033–1044. 52 indexed citations
17.
Morra, Giulia, Massimiliano Meli, & Giorgio Colombo. (2018). How the Ligand-Induced Reorganization of Protein Internal Energies Is Coupled to Conformational Events. Journal of Chemical Theory and Computation. 14(11). 5992–6001. 10 indexed citations
18.
Capelli, Riccardo, Claudio Peri, Riccardo Villa, et al.. (2018). BPSL1626: Reverse and Structural Vaccinology Reveal a Novel Candidate for Vaccine Design against Burkholderia pseudomallei. Antibodies. 7(3). 26–26. 13 indexed citations
19.
Bertolani, Arianna, Andrea Pizzi, Lisa Pirrie, et al.. (2016). Crystal Structure of the DFNKF Segment of Human Calcitonin Unveils Aromatic Interactions between Phenylalanines. Chemistry - A European Journal. 23(9). 1985–1985. 1 indexed citations
20.
Diana, Donatella, Lucía De Rosa, Maddalena Palmieri, et al.. (2015). Long range Trp-Trp interaction initiates the folding pathway of a pro-angiogenic β-hairpin peptide. Scientific Reports. 5(1). 16651–16651. 7 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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