Giovanni Cazzaniga

22.2k total citations · 1 hit paper
211 papers, 8.4k citations indexed

About

Giovanni Cazzaniga is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Giovanni Cazzaniga has authored 211 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Public Health, Environmental and Occupational Health, 123 papers in Hematology and 78 papers in Molecular Biology. Recurrent topics in Giovanni Cazzaniga's work include Acute Lymphoblastic Leukemia research (138 papers), Acute Myeloid Leukemia Research (77 papers) and Chronic Myeloid Leukemia Treatments (63 papers). Giovanni Cazzaniga is often cited by papers focused on Acute Lymphoblastic Leukemia research (138 papers), Acute Myeloid Leukemia Research (77 papers) and Chronic Myeloid Leukemia Treatments (63 papers). Giovanni Cazzaniga collaborates with scholars based in Italy, United Kingdom and Germany. Giovanni Cazzaniga's co-authors include Andrea Biondi, Jacques J. M. van Dongen, Vincent H. J. van der Velden, Giuseppe Basso, J Gäbert, Giuseppe Masera, Maria Grazia Valsecchi, Hélène Cavé, J M Cayuela and Martin Schrappe and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Giovanni Cazzaniga

205 papers receiving 8.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Standardization and quality control studies of ‘real-time’ quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia – A Europe Against Cancer Program

2003 1.1k citations Giovanni Cazzaniga, Hélène Cavé et al. Leukemia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giovanni Cazzaniga Italy	44	4.7k	4.0k	2.8k	1.6k	1.3k	211	8.4k
Jochen Harbott Germany	51	4.4k 0.9×	4.2k 1.0×	2.4k 0.9×	982 0.6×	1.5k 1.2×	166	7.3k
Letizia Foroni United Kingdom	46	6.1k 1.3×	3.2k 0.8×	2.3k 0.8×	4.0k 2.5×	895 0.7×	186	9.9k
Claus R. Bartram Germany	48	4.1k 0.9×	2.9k 0.7×	3.8k 1.3×	2.1k 1.3×	874 0.7×	212	10.0k
Oskar A. Haas Austria	48	3.6k 0.8×	2.3k 0.6×	2.4k 0.8×	1.1k 0.7×	822 0.6×	264	7.2k
Elaine Coustan‐Smith United States	60	6.0k 1.3×	5.9k 1.5×	2.6k 0.9×	1.5k 1.0×	2.2k 1.7×	140	11.5k
Marilyn L. Slovak United States	46	6.9k 1.5×	2.8k 0.7×	4.4k 1.6×	2.3k 1.5×	662 0.5×	152	11.7k
Tapan M. Kadia United States	57	9.8k 2.1×	3.0k 0.7×	5.4k 1.9×	3.9k 2.5×	518 0.4×	778	13.2k
H. R. Gralnick United States	21	7.9k 1.7×	2.8k 0.7×	2.8k 1.0×	2.7k 1.7×	312 0.2×	34	10.6k
Yasuhide Hayashi Japan	45	2.9k 0.6×	1.3k 0.3×	4.1k 1.4×	727 0.5×	324 0.3×	226	7.1k
David F. Claxton United States	40	5.6k 1.2×	1.4k 0.3×	2.8k 1.0×	1.5k 0.9×	229 0.2×	195	9.1k

Countries citing papers authored by Giovanni Cazzaniga

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Cazzaniga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Cazzaniga

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

All Works

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20 of 20 papers shown

Bettini, Laura Rachele, Grazia Fazio, Claudia Saitta, et al.. (2024). Diverse mechanisms of leukemogenesis associated with PAX5 germline mutation. Leukemia. 38(11). 2479–2482. 3 indexed citations

Bardini, Michela, Grazia Fazio, L Corral Abascal, et al.. (2024). Prenatal origin of NUTM1 gene rearrangement in infant B‐cell precursor acute lymphoblastic leukaemia. British Journal of Haematology. 205(5). 1883–1888. 3 indexed citations

Gaffo, Enrico, Alessia Buratin, Alice Cani, et al.. (2023). Functional relevance of circRNA aberrant expression in pediatric acute leukemia with KMT2A::AFF1 fusion. Blood Advances. 8(5). 1305–1319. 5 indexed citations

Savino, Angela Maria, Daniela Silvestri, Maria Grazia Valsecchi, et al.. (2023). High-throughput screening as a drug repurposing strategy for poor outcome subgroups of pediatric B-cell precursor Acute Lymphoblastic Leukemia. Biochemical Pharmacology. 217. 115809–115809. 11 indexed citations

Russo, Alessia, Clara Viberti, Katia Mareschi, et al.. (2021). Genetic and Epigenetic Characterization of a Discordant KMT2A/AFF1-Rearranged Infant Monozygotic Twin Pair. International Journal of Molecular Sciences. 22(18). 9740–9740. 2 indexed citations

Barrios, Oriol de, Juan L. Trincado, Antonio Agraz-Doblás, et al.. (2020). HDAC7 is a major contributor in the pathogenesis of infant t(4;11) proB acute lymphoblastic leukemia. Leukemia. 35(7). 2086–2091. 9 indexed citations

Bardini, Michela, Luca Trentin, Francesca Rizzo, et al.. (2018). Antileukemic Efficacy of BET Inhibitor in a Preclinical Mouse Model of MLL-AF4+ Infant ALL. Molecular Cancer Therapeutics. 17(8). 1705–1716. 15 indexed citations

Magnani, Chiara F., Claudia Cappuzzello, Michela Bardini, et al.. (2018). Preclinical Efficacy and Safety of CD19CAR Cytokine-Induced Killer Cells Transfected with Sleeping Beauty Transposon for the Treatment of Acute Lymphoblastic Leukemia. Human Gene Therapy. 29(5). 602–613. 39 indexed citations

Starza, Irene Della, Federica Lovisa, Daniela Silvestri, et al.. (2018). Digital-Droplet PCR, an Accurate Method for IG/TR PCR-MRD Stratification in Childhood Acute Lymphoblastic Leukemia. Blood. 132(Supplement 1). 1544–1544. 4 indexed citations

10.

Balduzzi, Adriana, Daniela Silvestri, Simona Songia, et al.. (2014). Minimal residual disease before and after transplantation for childhood acute lymphoblastic leukaemia: is there any room for intervention?. British Journal of Haematology. 164(3). 396–408. 60 indexed citations

11.

Palmi, Chiara, Grazia Fazio, Angela Maria Savino, et al.. (2014). Cytoskeletal Regulatory Gene Expression and Migratory Properties of B-cell Progenitors Are Affected by the ETV6–RUNX1 Rearrangement. Molecular Cancer Research. 12(12). 1796–1806. 7 indexed citations

12.

Ma, Yussanne, Sara E. Dobbins, Amy L. Sherborne, et al.. (2013). Developmental timing of mutations revealed by whole-genome sequencing of twins with acute lymphoblastic leukemia. Proceedings of the National Academy of Sciences. 110(18). 7429–7433. 33 indexed citations

13.

Potter, Nicola, Luca Ermini, Elli Papaemmanuil, et al.. (2013). Single-cell mutational profiling and clonal phylogeny in cancer. Genome Research. 23(12). 2115–2125. 86 indexed citations

14.

Veer, Arian van der, Markéta Žaliová, Federica Mottadelli, et al.. (2013). Ikzf1 Deletion Status Discriminates For Outcome In Imatinibtreated Bcr-Abl1-Positive Childhood ALL. Haematologica. 98. 1 indexed citations

15.

Shochat, Chen, Noa Tal, Obul Reddy Bandapalli, et al.. (2011). Gain-of-function mutations in interleukin-7 receptor-α ( IL7R ) in childhood acute lymphoblastic leukemias. The Journal of Experimental Medicine. 208(5). 901–908. 233 indexed citations

16.

Cazzaniga, Giovanni, Frederik W. van Delft, Luca Lo Nigro, et al.. (2011). Developmental origins and impact of BCR-ABL1 fusion and IKZF1 deletions in monozygotic twins with Ph+ acute lymphoblastic leukemia. Blood. 118(20). 5559–5564. 67 indexed citations

17.

Ford, Anthony M., Chiara Palmi, Clara Bueno, et al.. (2009). The TEL-AML1 leukemia fusion gene dysregulates the TGF-β pathway in early B lineage progenitor cells. Journal of Clinical Investigation. 119(4). 826–36. 88 indexed citations

18.

Fazio, Grazia, Chiara Palmi, Antonius Rolink, Andrea Biondi, & Giovanni Cazzaniga. (2008). PAX5/TEL Acts as a Transcriptional Repressor Causing Down-modulation of CD19, Enhances Migration to CXCL12, and Confers Survival Advantage in pre-BI Cells. Cancer Research. 68(1). 181–189. 40 indexed citations

19.

Bardini, Michela, Lilia Corral, Roberta Spinelli, et al.. (2008). Infant ALL patients carrying t(4;11) have a different genotypic profile than older ALL children. British Journal of Haematology. 141. 63–63. 1 indexed citations

20.

Maia, Ana-Teresa, Roxane Tussiwand, Giovanni Cazzaniga, et al.. (2004). Identification of preleukemic precursors of hyperdiploid acute lymphoblastic leukemia in cord blood. Genes Chromosomes and Cancer. 40(1). 38–43. 59 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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