Iva Maestri

2.1k total citations
50 papers, 1.7k citations indexed

About

Iva Maestri is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Iva Maestri has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Iva Maestri's work include Genetic factors in colorectal cancer (15 papers), Colorectal Cancer Treatments and Studies (8 papers) and Cancer Genomics and Diagnostics (6 papers). Iva Maestri is often cited by papers focused on Genetic factors in colorectal cancer (15 papers), Colorectal Cancer Treatments and Studies (8 papers) and Cancer Genomics and Diagnostics (6 papers). Iva Maestri collaborates with scholars based in Italy, Germany and France. Iva Maestri's co-authors include Giovanni Lanza, Alessandra Santini, Roberta Gafà, Luigi Cavazzini, Maurizio Matteuzzi, Laura del Senno, Stefano Ferretti, Francesco Bernardi, Enrico Orvieto and Luca Roncucci and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

Iva Maestri

49 papers receiving 1.7k citations

Peers

Iva Maestri
Claire Palles United Kingdom
Naoyuki Umetani United States
S Bose United States
Jan B. Egan United States
Claire Palles United Kingdom
Iva Maestri
Citations per year, relative to Iva Maestri Iva Maestri (= 1×) peers Claire Palles

Countries citing papers authored by Iva Maestri

Since Specialization
Citations

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

Fields of papers citing papers by Iva Maestri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Maestri

This figure shows the co-authorship network connecting the top 25 collaborators of Iva Maestri. A scholar is included among the top collaborators of Iva Maestri 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 Iva Maestri. Iva Maestri 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.
Vezzani, Bianca, Sonia Missiroli, Massimo Pedriali, et al.. (2025). PML localization in tumor associated macrophages as a prognostic marker in triple negative breast cancer. Scientific Reports. 15(1). 22054–22054.
2.
Greco, Salvatore, Juana María Sanz, Daria Bortolotti, et al.. (2023). Case report: Tissue positivity for SARS-CoV-2 in a preterm born infant death of thrombosis: possible intrauterine transmission. Frontiers in Medicine. 10. 1127529–1127529. 2 indexed citations
3.
Maestri, Iva, Valentino Bezzerri, Roberto Valli, et al.. (2023). Counteracting the Common Shwachman–Diamond Syndrome-Causing SBDS c.258+2T>C Mutation by RNA Therapeutics and Base/Prime Editing. International Journal of Molecular Sciences. 24(4). 4024–4024. 7 indexed citations
4.
5.
Balestra, Dario, et al.. (2019). An Altered Splicing Registry Explains the Differential ExSpeU1-Mediated Rescue of Splicing Mutations Causing Haemophilia A. Frontiers in Genetics. 10. 974–974. 10 indexed citations
6.
Cason, Carolina, Lorenzo Monasta, Nunzia Zanotta, et al.. (2018). Antibody response to polyomavirus primary infection: high seroprevalence of Merkel cell polyomavirus and lymphoid tissue involvement. Journal of NeuroVirology. 24(3). 314–322. 17 indexed citations
7.
Cavallari, Nicola, Dario Balestra, Alessio Branchini, et al.. (2012). Activation of a cryptic splice site in a potentially lethal coagulation defect accounts for a functional protein variant. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(7). 1109–1113. 19 indexed citations
8.
Girardelli, Martina, Iva Maestri, Rosa Rinaldi, et al.. (2012). NLRP1 polymorphisms in patients with asbestos-associated mesothelioma. Infectious Agents and Cancer. 7(1). 25–25. 29 indexed citations
9.
Comar, Manola, Antonio Cuneo, Iva Maestri, et al.. (2012). Merkel-cell polyomavirus (MCPyV) is rarely associated to B-chronic lymphocytic leukemia (1 out of 50) samples and occurs late in the natural history of the disease. Journal of Clinical Virology. 55(4). 367–369. 13 indexed citations
10.
Ferracin, Manuela, Massimo Pedriali, Angelo Veronese, et al.. (2011). MicroRNA profiling for the identification of cancers with unknown primary tissue‐of‐origin. The Journal of Pathology. 225(1). 43–53. 111 indexed citations
11.
Lanza, Giovanni, Roberta Gafà, Iva Maestri, et al.. (2002). Immunohistochemical Pattern of MLH1/MSH2 Expression Is Related to Clinical and Pathological Features in Colorectal Adenocarcinomas with Microsatellite Instability. Modern Pathology. 15(7). 741–749. 96 indexed citations
12.
Querzoli, Patrizia, Maria Grazia di Iasio, Stefano Ferretti, et al.. (2001). Biophenotypes and survival of BRCA1 and TP53 deleted breast cancer in young women. Breast Cancer Research and Treatment. 66(2). 135–142. 24 indexed citations
13.
Gualandi, Francesca, Maria Carla Pittalis, Olga Calabrese, et al.. (2000). Mole maker phenotype: possible narrowing of the candidate region. European Journal of Human Genetics. 8(8). 641–644. 44 indexed citations
14.
Lanza, Giovanni, Maurizio Matteuzzi, Roberta Gafà, et al.. (1998). Chromosome 18q allelic loss and prognosis in stage II and III colon cancer. International Journal of Cancer. 79(4). 390–395. 114 indexed citations
15.
Aguiari, Gianluca, Roberta Piva, Stefano Volinia, et al.. (1997). Expression of Protein Fragments from the Human PKD1 Gene and Production of Rabbit Polyclonal Antibodies to the Recombinant Proteins. Contributions to nephrology. 122. 49–52. 2 indexed citations
16.
Lanza, Giovanni, Iva Maestri, Roberta Gafà, et al.. (1996). p53 Expression in Colorectal Cancer:Relation to Tumor Type, DNA Ploidy Pattern, and Short-Term Survival. American Journal of Clinical Pathology. 105(5). 604–612. 55 indexed citations
17.
Rossi, Roberta, Paola Franceschetti, Iva Maestri, et al.. (1996). Evidence for androgen receptor gene expression in human thyroid cells and tumours. Journal of Endocrinology. 148(1). 77–85. 17 indexed citations
18.
Losi, Lorena, Rossella Fante, Carmela Di Gregorio, et al.. (1995). Biologic Characterization of Hereditary Non-Polyposis Colorectal Cancer:Nuclear Ploidy, AgNOR Count, Microvessel Distribution, Oncogene Expression, and Grade-Related Parameters. American Journal of Clinical Pathology. 103(3). 265–270. 21 indexed citations
19.
Piva, Roberta, et al.. (1990). Different methylation of oestrogen receptor DNA in human breast carcinomas with and without oestrogen receptor. British Journal of Cancer. 61(2). 270–275. 35 indexed citations
20.
Barrai, I., Guido Barbujani, M. Beretta, et al.. (1987). Surnames in ferrara: distribution, isonymy and levels of inbreeding. Annals of Human Biology. 14(5). 415–423. 35 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026