Marta Filizola

9.3k total citations · 2 hit papers
140 papers, 5.7k citations indexed

About

Marta Filizola is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Hematology. According to data from OpenAlex, Marta Filizola has authored 140 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 80 papers in Cellular and Molecular Neuroscience and 14 papers in Hematology. Recurrent topics in Marta Filizola's work include Receptor Mechanisms and Signaling (93 papers), Neuropeptides and Animal Physiology (58 papers) and Pharmacological Receptor Mechanisms and Effects (18 papers). Marta Filizola is often cited by papers focused on Receptor Mechanisms and Signaling (93 papers), Neuropeptides and Animal Physiology (58 papers) and Pharmacological Receptor Mechanisms and Effects (18 papers). Marta Filizola collaborates with scholars based in United States, Spain and Italy. Marta Filizola's co-authors include Davide Provasi, Harel Weinstein, Jonathan A. Javitch, Jennifer M. Johnston, Graeme Milligan, Lakshmi A. Devi, Juan Carlos Mobarec, Wen Guo, Lei Shi and Martin J. Lohse and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marta Filizola

138 papers receiving 5.6k citations

Hit Papers

Identification of a serotonin/glutamate receptor complex ... 2008 2026 2014 2020 2008 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Filizola United States 40 4.3k 3.0k 569 456 325 140 5.7k
David E. Gloriam Denmark 38 6.9k 1.6× 3.7k 1.2× 1.0k 1.8× 1.2k 2.7× 514 1.6× 107 8.6k
John D. McCorvy United States 30 3.0k 0.7× 2.5k 0.8× 316 0.6× 508 1.1× 245 0.8× 71 4.9k
Jonathan D. Violin United States 44 7.6k 1.8× 4.0k 1.3× 482 0.8× 747 1.6× 137 0.4× 53 9.5k
Wesley K. Kroeze United States 27 2.8k 0.7× 1.9k 0.6× 185 0.3× 592 1.3× 189 0.6× 38 4.9k
Hiroyuki Motoshima Japan 35 6.5k 1.5× 2.9k 1.0× 559 1.0× 338 0.7× 406 1.2× 97 9.7k
Daniel A. Kirschner United States 51 6.6k 1.5× 2.2k 0.7× 595 1.0× 842 1.8× 496 1.5× 158 11.2k
Jesper Mosolff Mathiesen Denmark 24 4.6k 1.1× 3.0k 1.0× 694 1.2× 421 0.9× 170 0.5× 45 5.2k
Gye Won Han United States 43 9.0k 2.1× 4.6k 1.5× 1.5k 2.6× 1.1k 2.5× 333 1.0× 90 10.7k
Leonardo Pardo Spain 45 5.2k 1.2× 3.1k 1.0× 565 1.0× 595 1.3× 222 0.7× 157 6.8k
Tatsuya Haga Japan 50 6.3k 1.5× 4.4k 1.5× 543 1.0× 206 0.5× 608 1.9× 157 8.6k

Countries citing papers authored by Marta Filizola

Since Specialization
Citations

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

Fields of papers citing papers by Marta Filizola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Filizola

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Filizola. A scholar is included among the top collaborators of Marta Filizola 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 Marta Filizola. Marta Filizola 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.
Provasi, Davide & Marta Filizola. (2025). Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs. Biochemistry. 64(6). 1328–1337.
2.
3.
Warren, Audrey L., et al.. (2024). Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT 1e R and 5-HT 1F R. Science Advances. 10(16). eadk4855–eadk4855. 3 indexed citations
4.
Provasi, Davide & Marta Filizola. (2024). Transfer learning of deep hybrid ligand-based and structure-based drug discovery schemes for improved prediction of opioid ligands’ bioactivity. Biophysical Journal. 123(3). 428a–428a. 2 indexed citations
5.
Guzzo, Peter R., et al.. (2024). Structural basis for partial agonism in 5-HT3A receptors. Nature Structural & Molecular Biology. 31(4). 598–609. 6 indexed citations
6.
Provasi, Davide & Marta Filizola. (2023). Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning Techniques. The Journal of Physical Chemistry B. 127(50). 10691–10699. 7 indexed citations
7.
Provasi, Davide, Xing Qiu, H. Ümit Kanıskan, et al.. (2023). De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework. Journal of Chemical Information and Modeling. 63(16). 5056–5065. 10 indexed citations
8.
Thibado, Jordana K., Joon Lee, Davide Provasi, et al.. (2021). Differences in interactions between transmembrane domains tune the activation of metabotropic glutamate receptors. eLife. 10. 18 indexed citations
9.
Kapoor, Abhijeet, Davide Provasi, & Marta Filizola. (2020). Atomic-Level Characterization of the Distinct Methadone-Induced Conformational Sampling and Activation Kinetics of the µ-Opioid Receptor by Molecular Simulations. Biophysical Journal. 118(3). 92a–92a. 1 indexed citations
10.
Basak, Sandip, Steven Ramsey, Eric Gibbs, et al.. (2020). High-resolution structures of multiple 5-HT3AR-setron complexes reveal a novel mechanism of competitive inhibition. eLife. 9. 31 indexed citations
11.
Ribeiro, João Marcelo Lamim, Davide Provasi, & Marta Filizola. (2020). A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors. The Journal of Chemical Physics. 153(12). 124105–124105. 37 indexed citations
12.
Kapoor, Abhijeet, Davide Provasi, & Marta Filizola. (2020). Atomic-Level Characterization of the Methadone-Stabilized Active Conformation of µ-Opioid Receptor. Molecular Pharmacology. 98(4). 475–486. 12 indexed citations
13.
Hughes, Taylor, John Smith Del Rosario, Abhijeet Kapoor, et al.. (2019). Structure-based characterization of novel TRPV5 inhibitors. eLife. 8. 51 indexed citations
14.
Provasi, Davide, et al.. (2018). An efficient strategy to estimate thermodynamics and kinetics of G protein-coupled receptor activation using metadynamics and maximum caliber. The Journal of Chemical Physics. 149(22). 224101–224101. 32 indexed citations
15.
Schneider, Sebastian, et al.. (2016). Predicted mode of Binding of Non-Nitrogenous μ-Opioid Receptor Ligands by Metadynamics. Biophysical Journal. 110(3). 90a–90a. 2 indexed citations
16.
Schneider, Sebastian, Davide Provasi, & Marta Filizola. (2015). The Dynamic Process of Drug–GPCR Binding at Either Orthosteric or Allosteric Sites Evaluated by Metadynamics. Methods in molecular biology. 1335. 277–294. 26 indexed citations
17.
Johnston, Jennifer M. & Marta Filizola. (2014). Differential Stability of the Crystallographic Interfaces of Mu- and Kappa-Opioid Receptors. PLoS ONE. 9(2). e90694–e90694. 20 indexed citations
18.
Zhu, Jieqing, Won Suk Choi, Ana Negri, et al.. (2012). Structure-Guided Design of a High-Affinity Platelet Integrin α IIb β 3 Receptor Antagonist That Disrupts Mg 2+ Binding to the MIDAS. Science Translational Medicine. 4(125). 125ra32–125ra32. 73 indexed citations
19.
Guo, Wen, Lei Shi, Marta Filizola, Harel Weinstein, & Jonathan A. Javitch. (2005). Crosstalk in G protein-coupled receptors: Changes at the transmembrane homodimer interface determine activation. Proceedings of the National Academy of Sciences. 102(48). 17495–17500. 234 indexed citations
20.
Filizola, Marta & Harel Weinstein. (2005). The study of G‐protein coupled receptor oligomerization with computational modeling and bioinformatics. FEBS Journal. 272(12). 2926–2938. 80 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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