Paolo Conflitti

541 total citations
17 papers, 344 citations indexed

About

Paolo Conflitti is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paolo Conflitti has authored 17 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paolo Conflitti's work include Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Paolo Conflitti is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Paolo Conflitti collaborates with scholars based in Italy, Switzerland and France. Paolo Conflitti's co-authors include Vittorio Limongelli, Stefano Raniolo, Paulo C. T. Souza, Sebastian Thallmair, Carlos Ramírez-Palacios, Riccardo Alessandri, ‪Siewert J. Marrink, Antonio Palleschi, Gianfranco Bocchinfuso and Claudia Mazzuca and has published in prestigious journals such as Nature Communications, Nature Reviews Drug Discovery and The Journal of Physical Chemistry C.

In The Last Decade

Paolo Conflitti

17 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Conflitti Italy 10 239 48 42 41 35 17 344
Martin Kulke Germany 10 211 0.9× 42 0.9× 46 1.1× 33 0.8× 18 0.5× 25 358
Eva Smorodina Norway 9 257 1.1× 34 0.7× 30 0.7× 30 0.7× 23 0.7× 17 362
Alexis Courbet United States 10 418 1.7× 67 1.4× 25 0.6× 38 0.9× 32 0.9× 14 570
Mohamad Reza Ganjalikhany Iran 12 327 1.4× 26 0.5× 41 1.0× 19 0.5× 77 2.2× 27 443
Lili Peng China 11 369 1.5× 26 0.5× 36 0.9× 30 0.7× 57 1.6× 32 506
Michael P. Agius United States 7 138 0.6× 32 0.7× 88 2.1× 47 1.1× 29 0.8× 14 332
Terrance J. Sereda Canada 6 388 1.6× 47 1.0× 21 0.5× 41 1.0× 30 0.9× 6 564
Ilona Christy Unarta Hong Kong 13 367 1.5× 67 1.4× 26 0.6× 26 0.6× 33 0.9× 28 470
Özge Şensoy Türkiye 12 299 1.3× 45 0.9× 78 1.9× 86 2.1× 38 1.1× 32 448
Sabine R. Akabayov United States 12 276 1.2× 50 1.0× 16 0.4× 12 0.3× 29 0.8× 20 404

Countries citing papers authored by Paolo Conflitti

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Conflitti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Conflitti

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Conflitti. A scholar is included among the top collaborators of Paolo Conflitti 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 Paolo Conflitti. Paolo Conflitti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Conflitti, Paolo, Edward Lyman, Mark S.P. Sansom, et al.. (2025). Functional dynamics of G protein-coupled receptors reveal new routes for drug discovery. Nature Reviews Drug Discovery. 24(4). 251–275. 15 indexed citations
2.
Conflitti, Paolo, et al.. (2024). Minute-timescale free-energy calculations reveal a pseudo-active state in the adenosine A2A receptor activation mechanism. Chem. 10(12). 3678–3698. 9 indexed citations
3.
Roselli, Rosalinda, Claudia Finamore, Michele Biagioli, et al.. (2023). Discovery of a Novel Class of Dual GPBAR1 Agonists–RORγt Inverse Agonists for the Treatment of IL-17-Mediated Disorders. ACS Omega. 8(6). 5983–5994. 5 indexed citations
4.
Donne, Rossella Delle, Laura Rinaldi, Federica Moraca, et al.. (2023). Ubiquitylation of BBSome is required for ciliary assembly and signaling. EMBO Reports. 24(4). e55571–e55571. 10 indexed citations
5.
Marino, Daniele Di, Paolo Conflitti, Stefano Motta, & Vittorio Limongelli. (2023). Structural basis of dimerization of chemokine receptors CCR5 and CXCR4. Nature Communications. 14(1). 6439–6439. 15 indexed citations
6.
Conflitti, Paolo, Stefano Raniolo, & Vittorio Limongelli. (2023). Perspectives on Ligand/Protein Binding Kinetics Simulations: Force Fields, Machine Learning, Sampling, and User-Friendliness. Journal of Chemical Theory and Computation. 19(18). 6047–6061. 17 indexed citations
7.
Fiorucci, Stefano, Rosalinda Roselli, Silvia Marchianò, et al.. (2022). Discovery of a Potent and Orally Active Dual GPBAR1/CysLT1R Modulator for the Treatment of Metabolic Fatty Liver Disease. Frontiers in Pharmacology. 13. 858137–858137. 6 indexed citations
8.
Sepe, Valentina, Paolo Conflitti, Rosalinda Roselli, et al.. (2021). Structural Basis for Developing Multitarget Compounds Acting on Cysteinyl Leukotriene Receptor 1 and G-Protein-Coupled Bile Acid Receptor 1. Journal of Medicinal Chemistry. 64(22). 16512–16529. 3 indexed citations
9.
Biagioli, Michele, Adriana Carino, Silvia Marchianò, et al.. (2020). Identification of cysteinyl-leukotriene-receptor 1 antagonists as ligands for the bile acid receptor GPBAR1. Biochemical Pharmacology. 177. 113987–113987. 7 indexed citations
10.
Zanuy, David, Anna Puiggalí‐Jou, Paolo Conflitti, et al.. (2020). Aggregation propensity of therapeutic fibrin-homing pentapeptides: insights from experiments and molecular dynamics simulations. Soft Matter. 16(44). 10169–10179. 6 indexed citations
11.
Souza, Paulo C. T., Sebastian Thallmair, Paolo Conflitti, et al.. (2020). Protein–ligand binding with the coarse-grained Martini model. Nature Communications. 11(1). 150 indexed citations
12.
Conflitti, Paolo, Saurabh Srivastava, Jimut Kanti Ghosh, et al.. (2017). Molecular Dynamics Simulations of the Host Defense Peptide Temporin L and Its Q3K Derivative: An Atomic Level View from Aggregation in Water to Bilayer Perturbation. Molecules. 22(7). 1235–1235. 14 indexed citations
13.
Biscaglia, Francesca, Senthilkumar Rajendran, Paolo Conflitti, et al.. (2017). Enhanced EGFR Targeting Activity of Plasmonic Nanostructures with Engineered GE11 Peptide. Advanced Healthcare Materials. 6(23). 45 indexed citations
14.
Mazzuca, Claudia, et al.. (2017). Behavior of a Peptide During a Langmuir–Blodgett Compression Isotherm: A Molecular Dynamics Simulation Study. The Journal of Physical Chemistry C. 122(1). 515–521. 7 indexed citations
15.
Mazzuca, Claudia, Gianfranco Bocchinfuso, Antonio Palleschi, et al.. (2017). The Influence of pH on the Scleroglucan and Scleroglucan/Borax Systems. Molecules. 22(3). 435–435. 11 indexed citations
16.
Bocchinfuso, Gianfranco, et al.. (2016). Relative Stability of the Scleroglucan Triple-Helix and Single Strand: an Insight from Computational and Experimental Techniques. Zeitschrift für Physikalische Chemie. 230(9). 1395–1410. 9 indexed citations
17.
Bocchinfuso, Gianfranco, Paolo Conflitti, Stefano Raniolo, et al.. (2014). Aggregation propensity of Aib homo‐peptides of different length: an insight from molecular dynamics simulations. Journal of Peptide Science. 20(7). 494–507. 15 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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