Andrea Latini

999 total citations
47 papers, 659 citations indexed

About

Andrea Latini is a scholar working on Molecular Biology, Rheumatology and Physiology. According to data from OpenAlex, Andrea Latini has authored 47 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Rheumatology and 12 papers in Physiology. Recurrent topics in Andrea Latini's work include SARS-CoV-2 and COVID-19 Research (8 papers), MicroRNA in disease regulation (8 papers) and Systemic Lupus Erythematosus Research (8 papers). Andrea Latini is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), MicroRNA in disease regulation (8 papers) and Systemic Lupus Erythematosus Research (8 papers). Andrea Latini collaborates with scholars based in Italy, United States and Burkina Faso. Andrea Latini's co-authors include Paola Borgiani, Giuseppe Novelli, Cinzia Ciccacci, Carlo Perricone, Emilio Di Maria, Cristina Politi, Vincenza Spallone, Fabrizio Conti, Massimo Andreoni and Serena Colafrancesco and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Andrea Latini

41 papers receiving 651 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Latini 236 173 143 130 98 47 659
Sean K. Maden 265 1.1× 314 1.8× 68 0.5× 159 1.2× 56 0.6× 14 657
Luigi Cari 169 0.7× 77 0.4× 77 0.5× 268 2.1× 97 1.0× 37 726
Fouzia Siraj 156 0.7× 68 0.4× 53 0.4× 72 0.6× 42 0.4× 83 535
Bangjie Chen 231 1.0× 94 0.5× 91 0.6× 133 1.0× 21 0.2× 40 523
Chi G. Weindel 443 1.9× 64 0.4× 51 0.4× 296 2.3× 64 0.7× 13 716
Congqing Jiang 361 1.5× 126 0.7× 179 1.3× 67 0.5× 15 0.2× 44 727
Payel Roy 268 1.1× 47 0.3× 128 0.9× 413 3.2× 23 0.2× 31 816
Song Su 239 1.0× 65 0.4× 136 1.0× 103 0.8× 20 0.2× 19 566
Céline Chéry 312 1.3× 46 0.3× 34 0.2× 54 0.4× 101 1.0× 33 703
Xiangyang Lin 466 2.0× 221 1.3× 256 1.8× 154 1.2× 12 0.1× 38 915

Countries citing papers authored by Andrea Latini

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Latini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Latini

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Latini. A scholar is included among the top collaborators of Andrea Latini 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 Andrea Latini. Andrea Latini 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.
Latini, Andrea, Carlo Perricone, Fulvia Ceccarelli, et al.. (2024). The dysregulation of mitochondrial homeostasis–related genes could be involved in the decrease of mtDNA copy number in systemic lupus erythematosus patients. Immunologic Research. 72(6). 1384–1392. 4 indexed citations
2.
Latini, Andrea, et al.. (2024). Low Expression Levels of miRNA-155 and miRNA-499a are Associated with Obesity in Type 2 Diabetes. Epigenomics. 16(2). 85–91. 3 indexed citations
3.
Murdocca, Michela, Isabella Romeo, Gennaro Citro, et al.. (2024). A Dynamic and Effective Peptide-Based Strategy for Promptly Addressing Emerging SARS-CoV-2 Variants of Concern. Pharmaceuticals. 17(7). 891–891. 2 indexed citations
4.
Centofanti, Federica, Stephen M. Cox, Charlotte V. Cox, et al.. (2024). The Senolytic Effect of Indole-3-Carbinol (I3C) on Mouse Embryonic (MEF) and Human Fibroblast Cell Lines. International Journal of Molecular Sciences. 25(21). 11652–11652. 3 indexed citations
5.
Murdocca, Michela, Osvaldo A. Santos‐Filho, Riccardo De Santis, et al.. (2024). Characterization of the symmetrical benzimidazole twin drug TL1228: the role as viral entry inhibitor for fighting COVID-19. Biology Direct. 19(1). 93–93.
7.
Murdocca, Michela, Gennaro Citro, Andrea Latini, et al.. (2023). COVID-19: S-Peptide RBD 484–508 Induces IFN-γ T-Cell Response in Naïve-to-Infection and Unvaccinated Subjects with Close Contact with SARS-CoV-2-Positive Patients. Viruses. 15(7). 1417–1417. 2 indexed citations
9.
Latini, Andrea, et al.. (2023). ATG5 gene expression analysis supports the involvement of autophagy in microangiopathic complications of type 2 diabetes. Nutrition Metabolism and Cardiovascular Diseases. 33(9). 1797–1799. 1 indexed citations
10.
Centofanti, Federica, Tonino Alonzi, Andrea Latini, et al.. (2022). Indole-3-carbinol in vitro antiviral activity against SARS-Cov-2 virus and in vivo toxicity. Cell Death Discovery. 8(1). 491–491. 13 indexed citations
11.
Spitalieri, Paola, Federica Centofanti, Michela Murdocca, et al.. (2022). Two Different Therapeutic Approaches for SARS-CoV-2 in hiPSCs-Derived Lung Organoids. Cells. 11(7). 1235–1235. 24 indexed citations
12.
Spallone, Vincenza, Cinzia Ciccacci, Andrea Latini, & Paola Borgiani. (2021). What Is in the Field for Genetics and Epigenetics of Diabetic Neuropathy: The Role of MicroRNAs. Journal of Diabetes Research. 2021. 1–10. 14 indexed citations
13.
Ciccacci, Cinzia, et al.. (2021). Emerging Role of microRNAs and Long Non-Coding RNAs in Sjögren’s Syndrome. Genes. 12(6). 903–903. 17 indexed citations
14.
Latini, Andrea, Carlo Perricone, Serena Colafrancesco, et al.. (2021). VDR Polymorphisms in Autoimmune Connective Tissue Diseases: Focus on Italian Population. Journal of Immunology Research. 2021. 1–6. 15 indexed citations
15.
Biancolella, Michela, Théodora Mahoukèdè Zohoncon, Andrea Latini, et al.. (2021). Breast cancer in West Africa: molecular analysis of BRCA genes in early-onset breast cancer patients in Burkina Faso. Human Genomics. 15(1). 65–65. 10 indexed citations
16.
Amati, Francesca, Andrea Latini, Vito Luigi Colona, et al.. (2020). Expression profiles of the SARS-CoV-2 host invasion genes in nasopharyngeal and oropharyngeal swabs of COVID-19 patients. Heliyon. 6(10). e05143–e05143. 22 indexed citations
17.
Latini, Andrea, Emanuele Agolini, Antonio Novelli, et al.. (2020). COVID-19 and Genetic Variants of Protein Involved in the SARS-CoV-2 Entry into the Host Cells. Genes. 11(9). 1010–1010. 84 indexed citations
18.
Novelli, Giuseppe, Michela Biancolella, Andrea Latini, et al.. (2020). Precision Medicine in Non-Communicable Diseases. SHILAP Revista de lepidopterología. 9(1). 3–3. 11 indexed citations
19.
Latini, Andrea, Paola Borgiani, Cinzia D’Amato, et al.. (2020). Mitochondrial DNA Copy Number in Peripheral Blood Is Reduced in Type 2 Diabetes Patients with Polyneuropathy and Associated with a MIR499A Gene Polymorphism. DNA and Cell Biology. 39(8). 1467–1472. 20 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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