Maria Franzini

3.1k total citations · 1 hit paper
92 papers, 2.2k citations indexed

About

Maria Franzini is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maria Franzini has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 20 papers in Epidemiology and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maria Franzini's work include Liver Disease Diagnosis and Treatment (17 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers) and Sulfur Compounds in Biology (13 papers). Maria Franzini is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers) and Sulfur Compounds in Biology (13 papers). Maria Franzini collaborates with scholars based in Italy, United Kingdom and France. Maria Franzini's co-authors include Aldo Paolicchi, Michele Emdin, Alfonso Pompella, Alessandro Corti, Claudio Passino, Alberto Aimo, Vincenzo Castiglione, Aldo Clerico, Giuseppe Vergaro and Alberto Giannoni and has published in prestigious journals such as PLoS ONE, Hepatology and Analytical Biochemistry.

In The Last Decade

Maria Franzini

86 papers receiving 2.2k citations

Hit Papers

RNA-targeting and gene editing therapies for transthyreti... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Franzini Italy 26 726 497 494 340 278 92 2.2k
Agnès Boullier France 26 967 1.3× 632 1.3× 191 0.4× 558 1.6× 121 0.4× 56 3.3k
Michael J. Duryee United States 28 422 0.6× 534 1.1× 145 0.3× 168 0.5× 100 0.4× 92 2.2k
C. López-Pedrera Spain 34 1.2k 1.6× 258 0.5× 216 0.4× 271 0.8× 126 0.5× 126 3.4k
Frank Jacobs Belgium 27 875 1.2× 231 0.5× 395 0.8× 594 1.7× 49 0.2× 62 2.2k
Shizuya Yamashita Japan 35 1.4k 2.0× 633 1.3× 822 1.7× 1.4k 4.1× 134 0.5× 97 3.6k
Rongxue Wu United States 21 1.0k 1.4× 339 0.7× 720 1.5× 174 0.5× 44 0.2× 48 2.4k
Bicheng Chen China 31 1.6k 2.2× 432 0.9× 344 0.7× 828 2.4× 52 0.2× 129 3.3k
Virgilio Evangelista Italy 34 883 1.2× 268 0.5× 921 1.9× 429 1.3× 130 0.5× 75 3.9k
J. Kar Kruijt Netherlands 30 1.1k 1.5× 561 1.1× 186 0.4× 1.0k 3.0× 194 0.7× 53 2.7k
Bruno Baudin France 24 647 0.9× 163 0.3× 408 0.8× 225 0.7× 58 0.2× 80 1.9k

Countries citing papers authored by Maria Franzini

Since Specialization
Citations

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

Fields of papers citing papers by Maria Franzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Franzini

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Franzini. A scholar is included among the top collaborators of Maria Franzini 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 Maria Franzini. Maria Franzini 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.
Mori, Federica, Angela Pucci, Vincenzo Castiglione, et al.. (2025). Serum and Tissue Light-Chains as Disease Biomarkers in AL Amyloidosis. International Journal of Molecular Sciences. 26(19). 9511–9511.
2.
Ribeiro, Camila M., Cesar Augusto Roque‐Borda, Maria Franzini, et al.. (2024). Liposome-siderophore conjugates loaded with moxifloxacin serve as a model for drug delivery against Mycobacterium tuberculosis. International Journal of Pharmaceutics. 655. 124050–124050. 4 indexed citations
3.
Ministrini, Stefano, Alexander Akhmedov, Yustina M. Puspitasari, et al.. (2024). Antithrombotic properties of Tafamidis: An additional protective effect for transthyretin amyloid cardiomyopathy patients. Vascular Pharmacology. 156. 107411–107411. 2 indexed citations
4.
Aimo, Alberto, Marco Luigetti, Lidia Ciccone, et al.. (2024). Tetrameric Transthyretin as a Protective Factor Against Alzheimer’s Disease. Molecular Neurobiology. 62(3). 2945–2954. 7 indexed citations
5.
Gentile, Francesco, A Manetti, Silvia Pellegrini, et al.. (2022). Myocardial Infarction Following COVID-19 Vaccine Administration: Post Hoc, Ergo Propter Hoc?. Viruses. 14(8). 1644–1644. 17 indexed citations
6.
Saponaro, Federica, Maria Franzini, Chukwuma Okoye, et al.. (2022). Is There a Crucial Link Between Vitamin D Status and Inflammatory Response in Patients With COVID-19?. Frontiers in Immunology. 12. 745713–745713. 21 indexed citations
7.
Neri, Tommaso, et al.. (2022). Binding of Gamma-Glutamyl Transferase to TLR4 Signalling Allows Tissue Factor Activation in Monocytes. International Journal of Molecular Sciences. 23(20). 12207–12207. 7 indexed citations
9.
Nieri, Dario, Tommaso Neri, Greta Barbieri, et al.. (2021). C-C motive chemokine ligand 2 and thromboinflammation in COVID-19-associated pneumonia: A retrospective study. Thrombosis Research. 204. 88–94. 11 indexed citations
10.
Fierabracci, Vanna, et al.. (2021). Signal Enhancement in Oriented Immunosorbent Assays: A Balance between Accessibility of Antigen Binding Sites and Avidity. Biosensors. 11(12). 493–493. 4 indexed citations
11.
Caponi, Laura, et al.. (2020). Sensitivity and reproducibility enhancement in enzyme immunosorbent assays based on half fragment antibodies. Analytical Biochemistry. 616. 114090–114090. 5 indexed citations
12.
Pastormerlo, Luigi Emilio, Silvia Burchielli, Marco Ciardetti, et al.. (2020). Myocardial salvage is increased after sympathetic renal denervation in a pig model of acute infarction. Clinical Research in Cardiology. 110(5). 711–724. 4 indexed citations
13.
Kirchhain, Arno, Noemi Poma, Pietro Salvo, et al.. (2018). Biosensors for measuring matrix metalloproteinases: An emerging research field. TrAC Trends in Analytical Chemistry. 110. 35–50. 35 indexed citations
14.
Aimo, Alberto, Paola Migliorini, Giuseppe Vergaro, et al.. (2018). The IL-33/ST2 pathway, inflammation and atherosclerosis: Trigger and target?. International Journal of Cardiology. 267. 188–192. 42 indexed citations
18.
Franzini, Maria, Silvia Masotti, Concetta Prontera, et al.. (2013). Systematic differences between BNP immunoassays: Comparison of methods using standard protocols and quality control materials. Clinica Chimica Acta. 424. 287–291. 23 indexed citations
19.
Paolicchi, Aldo, Silvia Dominici, Alessandro Corti, et al.. (2004). Membrane gamma-glutamyltransferase as a target for intervention on several redox-modulated functions of the cancer cell. European Journal of Cancer. 2(8). 27–28.
20.
Barbieri, Alberto, et al.. (1998). [Bilateral renal oncocytoma. A clinical case and review of the literature].. PubMed. 53(9). 769–74. 2 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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