Matteo Pavan

841 total citations
34 papers, 537 citations indexed

About

Matteo Pavan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Matteo Pavan has authored 34 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 8 papers in Physiology. Recurrent topics in Matteo Pavan's work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (8 papers) and Adenosine and Purinergic Signaling (8 papers). Matteo Pavan is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (8 papers) and Adenosine and Purinergic Signaling (8 papers). Matteo Pavan collaborates with scholars based in Italy, United States and Austria. Matteo Pavan's co-authors include Stefano Moro, Mattia Sturlese, Davide Bassani, Giovanni Bolcato, Maicol Bissaro, Camilla Pecoraro, Stella Cascioferro, Valentina Gandin, Girolamo Cirrincione and Michele De Franco and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Matteo Pavan

32 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Pavan Italy 14 303 171 154 122 58 34 537
Davide Bassani Italy 14 284 0.9× 184 1.1× 132 0.9× 113 0.9× 37 0.6× 29 514
Juliana C. Ferreira United Arab Emirates 12 248 0.8× 185 1.1× 148 1.0× 57 0.5× 7 0.1× 34 482
Luciano Porto Kagami Brazil 12 253 0.8× 93 0.5× 44 0.3× 175 1.4× 18 0.3× 23 561
Flavio Ballante United States 15 330 1.1× 161 0.9× 55 0.4× 165 1.4× 12 0.2× 25 519
Mitul Srivastava India 12 195 0.6× 224 1.3× 154 1.0× 62 0.5× 7 0.1× 26 429
Behzad Jafari Iran 12 232 0.8× 43 0.3× 38 0.2× 147 1.2× 22 0.4× 42 572
Uddhavesh Sonavane India 14 404 1.3× 144 0.8× 94 0.6× 79 0.6× 4 0.1× 62 636
Ryoko Koga Japan 14 197 0.7× 26 0.2× 57 0.4× 219 1.8× 29 0.5× 31 543
Kristian Birchall United Kingdom 17 403 1.3× 237 1.4× 88 0.6× 187 1.5× 4 0.1× 30 733
Matthis Geitmann Sweden 16 507 1.7× 77 0.5× 106 0.7× 134 1.1× 7 0.1× 29 742

Countries citing papers authored by Matteo Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pavan

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pavan. A scholar is included among the top collaborators of Matteo Pavan 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 Matteo Pavan. Matteo Pavan 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.
Pavan, Matteo, Tina C. Wan, Marc López‐Cano, et al.. (2025). Bitopic A3 Adenosine Receptor Molecular Probes: Positive Allosteric Modulation and Noncanonical Activation. Journal of Medicinal Chemistry. 68(19). 20717–20740.
2.
Pavan, Matteo, et al.. (2025). Thermal Titration Molecular Dynamics: The Revenge of the Fragments. Journal of Chemical Information and Modeling. 65(3). 1492–1513. 1 indexed citations
3.
Pavan, Matteo, Veronica Salmaso, Tina C. Wan, et al.. (2024). Lipid Trolling to Optimize A3 Adenosine Receptor-Positive Allosteric Modulators (PAMs). Journal of Medicinal Chemistry. 67(14). 12221–12247. 6 indexed citations
4.
Tosh, Dilip K., Matteo Pavan, Chunxia Cronin, et al.. (2024). 2-Substituted (N)-Methanocarba A3 Adenosine Receptor Agonists: In Silico, In Vitro, and In Vivo Characterization. ACS Pharmacology & Translational Science. 7(7). 2154–2173. 4 indexed citations
5.
Abramowitz, Lara K., Matteo Pavan, Bhoj Kumar, et al.. (2024). Selective bioorthogonal probe for N-glycan hybrid structures. Nature Chemical Biology. 21(5). 681–692. 9 indexed citations
6.
Pavan, Matteo, Veronica Salmaso, Robert F. Keyes, et al.. (2024). Extrahelical Binding Site for a 1H-Imidazo[4,5-c]quinolin-4-amine A3 Adenosine Receptor Positive Allosteric Modulator on Helix 8 and Distal Portions of Transmembrane Domains 1 and 7. Molecular Pharmacology. 105(3). 213–223. 8 indexed citations
7.
Pavan, Matteo, et al.. (2023). Thermal titration molecular dynamics (TTMD): shedding light on the stability of RNA-small molecule complexes. Frontiers in Molecular Biosciences. 10. 1294543–1294543. 7 indexed citations
8.
Gianferrara, Teresa, Matteo Pavan, Davide Bassani, et al.. (2023). Are Two Riboses Better Than One? The Case of the Recognition and Activation of Adenosine Receptors. ChemMedChem. 18(14). e202300109–e202300109. 3 indexed citations
9.
Spinaci, Andrea, Michela Buccioni, Daniela Catarzi, et al.. (2023). “Dual Anta-Inhibitors” of the A2A Adenosine Receptor and Casein Kinase CK1delta: Synthesis, Biological Evaluation, and Molecular Modeling Studies. Pharmaceuticals. 16(2). 167–167. 9 indexed citations
10.
Pavan, Matteo, et al.. (2023). Targeting the I7L Protease: A Rational Design for Anti-Monkeypox Drugs?. International Journal of Molecular Sciences. 24(8). 7119–7119. 10 indexed citations
11.
Bertagnin, Chiara, Matteo Pavan, Marta Celegato, et al.. (2023). A small molecule targeting the interaction between human papillomavirus E7 oncoprotein and cellular phosphatase PTPN14 exerts antitumoral activity in cervical cancer cells. Cancer Letters. 571. 216331–216331. 16 indexed citations
12.
Pecoraro, Camilla, Michele De Franco, Daniela Carbone, et al.. (2023). 1,2,4-Amino-triazine derivatives as pyruvate dehydrogenase kinase inhibitors: Synthesis and pharmacological evaluation. European Journal of Medicinal Chemistry. 249. 115134–115134. 30 indexed citations
13.
Carbone, Daniela, Michele De Franco, Camilla Pecoraro, et al.. (2023). Structural Manipulations of Marine Natural Products Inspire a New Library of 3-Amino-1,2,4-Triazine PDK Inhibitors Endowed with Antitumor Activity in Pancreatic Ductal Adenocarcinoma. Marine Drugs. 21(5). 288–288. 23 indexed citations
14.
Pavan, Matteo, et al.. (2023). Thermal Titration Molecular Dynamics (TTMD): Not Your Usual Post-Docking Refinement. International Journal of Molecular Sciences. 24(4). 3596–3596. 17 indexed citations
15.
Pavan, Matteo & Stefano Moro. (2023). Lessons Learnt from COVID-19: Computational Strategies for Facing Present and Future Pandemics. International Journal of Molecular Sciences. 24(5). 4401–4401. 9 indexed citations
16.
Heilmann, Emmanuel, Francesco Costacurta, Seyed Arad Moghadasi, et al.. (2022). SARS-CoV-2 3CL pro mutations selected in a VSV-based system confer resistance to nirmatrelvir, ensitrelvir, and GC376. Science Translational Medicine. 15(678). eabq7360–eabq7360. 69 indexed citations
17.
Pavan, Matteo, et al.. (2022). Implementing a Scoring Function Based on Interaction Fingerprint for Autogrow4: Protein Kinase CK1δ as a Case Study. Frontiers in Molecular Biosciences. 9. 909499–909499. 19 indexed citations
18.
Pavan, Matteo, Daniele Peroni, Federica Alessandrini, et al.. (2022). Streptogramin A derivatives as mitochondrial translation inhibitors to suppress glioblastoma stem cell growth. European Journal of Medicinal Chemistry. 246. 114979–114979. 3 indexed citations
19.
Bassani, Davide, Matteo Pavan, Mattia Sturlese, & Stefano Moro. (2022). Sodium or Not Sodium: Should Its Presence Affect the Accuracy of Pose Prediction in Docking GPCR Antagonists?. Pharmaceuticals. 15(3). 346–346. 6 indexed citations
20.
Bolcato, Giovanni, Maicol Bissaro, Matteo Pavan, Mattia Sturlese, & Stefano Moro. (2020). Targeting the coronavirus SARS-CoV-2: computational insights into the mechanism of action of the protease inhibitors lopinavir, ritonavir and nelfinavir. Scientific Reports. 10(1). 20927–20927. 49 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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