Nadia Piva

480 total citations
14 papers, 395 citations indexed

About

Nadia Piva is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Nadia Piva has authored 14 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Genetics and 5 papers in Oncology. Recurrent topics in Nadia Piva's work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Nadia Piva is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Nadia Piva collaborates with scholars based in Italy, United States and Belgium. Nadia Piva's co-authors include Antonio Cuneo, Gian Matteo Rigolin, Renato Bigoni, Maria Grazia Roberti, Gianluigi Castoldi, Franca Fagioli, Antonella Bardi, Cristiano De Angeli, Sabrina Moretti and Laura del Senno and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

Nadia Piva

14 papers receiving 379 citations

Peers

Nadia Piva
Nadia Piva
Citations per year, relative to Nadia Piva Nadia Piva (= 1×) peers Maria Grazia Roberti

Countries citing papers authored by Nadia Piva

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Piva

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

All Works

14 of 14 papers shown
1.
Cuneo, Antonio, Renato Bigoni, Gian Matteo Rigolin, et al.. (1999). Cytogenetic Profile of Lymphoma of Follicle Mantle Lineage: Correlation With Clinicobiologic Features. Blood. 93(4). 1372–1380. 2 indexed citations
2.
Cuneo, Antonio, Renato Bigoni, Gian Matteo Rigolin, et al.. (1999). Cytogenetic Profile of Lymphoma of Follicle Mantle Lineage: Correlation With Clinicobiologic Features. Blood. 93(4). 1372–1380. 72 indexed citations
3.
Angeli, Cristiano De, Antonio Cuneo, Gianluca Aguiari, et al.. (1998). 5′ Region and Exon 7 Mutations of the TP53 Gene in Two Cases of B-Cell Prolymphocytic Leukemia. Cancer Genetics and Cytogenetics. 107(2). 137–143. 4 indexed citations
4.
Rigolin, Gian Matteo, Maria Grazia Roberti, Antonella Bardi, et al.. (1998). Exposure to myelotoxic agents and myelodysplasia: case–control study and correlation with clinicobiological findings. British Journal of Haematology. 103(1). 189–197. 64 indexed citations
5.
Cuneo, Antonio, Cristiano De Angeli, Maria Grazia Roberti, et al.. (1996). Richter's syndrome in a case of atypical chronic lymphocytic leukaemia with the t(11;14)(q13;q32): role for a p53 exon 7 gene mutation. British Journal of Haematology. 92(2). 375–381. 37 indexed citations
6.
Cuneo, Antonio, Maria Grazia Roberti, Antonella Bardi, et al.. (1996). Interleukin-3 plus interleukin-6 may improve chromosomal analysis of multiple myeloma: Cytologic and cytogenetic evidence in thirty-four patients. Cancer Genetics and Cytogenetics. 90(2). 171–175. 9 indexed citations
7.
Piva, Nadia, Gian Matteo Rigolin, Maria Grazia Roberti, et al.. (1995). Atypical chronic lymphocytic leukaemia witht(ll;14)(ql3;q32): karyotype evolution and prolymphocytic transformation. British Journal of Haematology. 90(2). 409–416. 52 indexed citations
8.
Cuneo, Antonio, Renato Bigoni, Nadia Piva, et al.. (1994). Trisomy 12 in Chronic Lymphocytic Leukemia and Hairy Cell Leukemia: A Cytogenetic and Interphase Cytogenetic Study. Leukemia & lymphoma. 15(1-2). 167–172. 17 indexed citations
9.
Cuneo, Antonio, Augustin Ferrant, Jean‐Louis Michaux, et al.. (1993). Clinical Review on Features and Cytogenetic Patterns in Adult Acute Myeloid Leukemia with Lymphoid Markers. Leukemia & lymphoma. 9(4-5). 285–291. 9 indexed citations
10.
Fagioli, Franca, Antonio Cuneo, Antonella Bardi, et al.. (1993). Chromosome aberrations in CD34-positive acute myeloid leukemia. Cancer Genetics and Cytogenetics. 71(2). 119–124. 17 indexed citations
11.
13.
Cuneo, Antonio, et al.. (1991). Lymphoblastic lymphoma with primary splenic involvement and the classic 14;18 translocation. Cancer Genetics and Cytogenetics. 57(1). 47–51. 5 indexed citations
14.
Cuneo, Antonio, et al.. (1989). Cytogenetic analysis of different cellular populations in chronic myelomonocytic leukemia. Cancer Genetics and Cytogenetics. 37(1). 29–37. 14 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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