María Agnese Morando

567 total citations
16 papers, 388 citations indexed

About

María Agnese Morando is a scholar working on Molecular Biology, Organic Chemistry and Surfaces, Coatings and Films. According to data from OpenAlex, María Agnese Morando has authored 16 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Surfaces, Coatings and Films. Recurrent topics in María Agnese Morando's work include Glycosylation and Glycoproteins Research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Polymer Surface Interaction Studies (3 papers). María Agnese Morando is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Polymer Surface Interaction Studies (3 papers). María Agnese Morando collaborates with scholars based in Spain, Italy and France. María Agnese Morando's co-authors include Giorgio Saladino, Francesco Luigi Gervasio, Silvia Lovera, Jorge L. Martínez‐Torrecuadrada, Nicola D’Amelio, Moreno Lelli, Jesús Jiménez‐Barbero, Caterina Alfano, F. Javier Cañada and Annalisa Pastore and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

María Agnese Morando

15 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Agnese Morando Spain 11 242 84 57 42 34 16 388
Christopher R. Reynolds United Kingdom 8 281 1.2× 35 0.4× 52 0.9× 34 0.8× 16 0.5× 12 482
Petr Pachl Czechia 16 291 1.2× 104 1.2× 44 0.8× 18 0.4× 17 0.5× 38 471
Katarzyna Pustelny Poland 13 273 1.1× 65 0.8× 86 1.5× 24 0.6× 57 1.7× 22 568
Markus Ritzefeld United Kingdom 14 475 2.0× 63 0.8× 42 0.7× 26 0.6× 41 1.2× 20 649
Origène Nyanguile United States 13 447 1.8× 115 1.4× 33 0.6× 21 0.5× 37 1.1× 17 739
Stefano Giuntini Italy 15 311 1.3× 92 1.1× 79 1.4× 12 0.3× 22 0.6× 32 497
Jason E. Donald United States 13 516 2.1× 23 0.3× 98 1.7× 34 0.8× 26 0.8× 14 774
Nicole Balasco Italy 18 538 2.2× 101 1.2× 193 3.4× 15 0.4× 40 1.2× 59 819
Patricia Walden Australia 11 280 1.2× 36 0.4× 29 0.5× 28 0.7× 41 1.2× 20 534
Daniel L. Parton United Kingdom 10 413 1.7× 29 0.3× 24 0.4× 21 0.5× 27 0.8× 12 509

Countries citing papers authored by María Agnese Morando

Since Specialization
Citations

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

Fields of papers citing papers by María Agnese Morando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Agnese Morando. 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 María Agnese Morando. The network helps show where María Agnese Morando may publish in the future.

Co-authorship network of co-authors of María Agnese Morando

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

All Works

16 of 16 papers shown
1.
Morando, María Agnese, Vito D’Alessandro, Angelo Spinello, et al.. (2025). Epigallocatechin-3-gallate binds tandem RNA recognition motifs of TDP-43 and inhibits its aggregation. Scientific Reports. 15(1). 17879–17879.
2.
Alfano, Caterina, Yann Fichou, Klaus Huber, et al.. (2024). Molecular Crowding: The History and Development of a Scientific Paradigm. Chemical Reviews. 124(6). 3186–3219. 58 indexed citations
3.
Morando, María Agnese, Mario Fogazza, Federica Sarno, et al.. (2023). In-silico guided chemical exploration of KDM4A fragments hits. Clinical Epigenetics. 15(1). 197–197. 2 indexed citations
4.
Morando, María Agnese, et al.. (2022). Solution structure of recombinant Pvfp-5β reveals insights into mussel adhesion. Communications Biology. 5(1). 739–739. 13 indexed citations
5.
Piaz, Fabrizio Dal, María Agnese Morando, Estella Rao, et al.. (2019). Recombinant mussel protein Pvfp-5β: A potential tissue bioadhesive. Journal of Biological Chemistry. 294(34). 12826–12835. 25 indexed citations
6.
Morando, María Agnese, et al.. (2019). Dynamics of Zika Virus Capsid Protein in Solution: The Properties and Exposure of the Hydrophobic Cleft Are Controlled by the α-Helix 1 Sequence. Biochemistry. 58(20). 2488–2498. 15 indexed citations
7.
Cruz-Oliveira, Christine, João M. Freire, María Agnese Morando, et al.. (2017). Mechanisms of Vesicular Stomatitis Virus Inactivation by Protoporphyrin IX, Zinc-Protoporphyrin IX, and Mesoporphyrin IX. Antimicrobial Agents and Chemotherapy. 61(6). 32 indexed citations
8.
Saladino, Giorgio, María Agnese Morando, Jorge L. Martínez‐Torrecuadrada, et al.. (2016). An Allosteric Cross-Talk Between the Activation Loop and the ATP Binding Site Regulates the Activation of Src Kinase. Scientific Reports. 6(1). 24235–24235. 38 indexed citations
9.
Morando, María Agnese, Giorgio Saladino, Nicola D’Amelio, et al.. (2016). Conformational Selection and Induced Fit Mechanisms in the Binding of an Anticancer Drug to the c-Src Kinase. Scientific Reports. 6(1). 24439–24439. 55 indexed citations
10.
Lovera, Silvia, et al.. (2015). Towards a Molecular Understanding of the Link between Imatinib Resistance and Kinase Conformational Dynamics. PLoS Computational Biology. 11(11). e1004578–e1004578. 53 indexed citations
11.
Martín‐Santamaría, Sonsoles, Sabine André, Rémi Caraballo, et al.. (2011). Symmetric dithiodigalactoside: strategic combination of binding studies and detection of selectivity between a plant toxin and human lectins. Organic & Biomolecular Chemistry. 9(15). 5445–5445. 43 indexed citations
12.
Morando, María Agnese, Alessandra Nurisso, Boris Vauzeilles, et al.. (2011). NMR and molecular modeling reveal key structural features of synthetic nodulation factors. Glycobiology. 21(6). 824–833. 9 indexed citations
13.
Gargiulo, Valentina, María Agnese Morando, Alba Silipo, et al.. (2010). Insights on the conformational properties of hyaluronic acid by using NMR residual dipolar couplings and MD simulations. Glycobiology. 20(10). 1208–1216. 24 indexed citations
14.
Morando, María Agnese, Sonsoles Martín‐Santamaría, Zhen‐Yuan Zhu, et al.. (2010). Mimicking Chitin: Chemical Synthesis, Conformational Analysis, and Molecular Recognition of the β(1→3) N‐Acetylchitopentaose Analogue. Chemistry - A European Journal. 16(14). 4239–4249. 7 indexed citations
15.
16.
Ribeiro, João P., Sergio Bacchi, María Agnese Morando, et al.. (2008). A Combined NMR, Computational, and HPLC Study of the Inclusion of Aromatic and Fluoroaromatic Compounds in Cyclodextrins as a Model for Studying Carbohydrate–Aromatic Interactions. European Journal of Organic Chemistry. 2008(35). 5891–5898. 13 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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