Giovanni Nassa

2.5k total citations
63 papers, 1.7k citations indexed

About

Giovanni Nassa is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Giovanni Nassa has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 23 papers in Cancer Research and 19 papers in Genetics. Recurrent topics in Giovanni Nassa's work include Cancer-related molecular mechanisms research (15 papers), Estrogen and related hormone effects (15 papers) and RNA modifications and cancer (13 papers). Giovanni Nassa is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), Estrogen and related hormone effects (15 papers) and RNA modifications and cancer (13 papers). Giovanni Nassa collaborates with scholars based in Italy, United States and Finland. Giovanni Nassa's co-authors include Alessandro Weisz, Roberta Tarallo, Giorgio Giurato, Francesca Rizzo, Maria Ravo, Tuula A. Nyman, Annamaria Salvati, Elena Alexandrova, Angela Cordella and Concetta Ambrosino and has published in prestigious journals such as Bioinformatics, PLoS ONE and Hepatology.

In The Last Decade

Giovanni Nassa

60 papers receiving 1.7k citations

Peers

Giovanni Nassa

GENET

ONCOL

Roberta Tarallo Italy

Michael T. McCabe United States

C.D.O. Cooper United Kingdom

Qi‐En Wang United States

Ken C. N. Chang United States

Bingtao Hao China

S. A. Roumiantsev Russia

Yongxin Zou China

Wenlin Shao United States

Roberta Tarallo Italy

Giovanni Nassa

2.0k ×1.7

1.0k ×2.0

488 ×1.2

GENET

390 ×1.4

ONCOL

189 ×1.1

Citations per year, relative to Giovanni Nassa Giovanni Nassa (= 1×) peers Roberta Tarallo

Countries citing papers authored by Giovanni Nassa

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Nassa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Nassa

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Nassa. A scholar is included among the top collaborators of Giovanni Nassa 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 Nassa. Giovanni Nassa 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

Alexandrova, Elena, Alfonso Carleo, Elena J. Orlando, et al.. (2025). BRPF1 in cancer epigenetics: a key regulator of histone acetylation and a promising therapeutic target. Cell Death Discovery. 11(1). 435–435.

Memoli, Domenico, Elena Alexandrova, Ylenia D’Agostino, et al.. (2024). Small non-coding RNA transcriptomic profiling in adult and fetal human brain. Scientific Data. 11(1). 767–767. 3 indexed citations

Fung, Eileen, Jane Yanagawa, Erika F. Rodriguez, et al.. (2023). Glucose Deprivation Promotes Pseudohypoxia and Dedifferentiation in Lung Adenocarcinoma. Cancer Research. 84(2). 305–327. 20 indexed citations

Salvati, Annamaria, Jessica Lamberti, Elena Alexandrova, et al.. (2023). Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort. Scientific Data. 10(1). 379–379. 2 indexed citations

Giurato, Giorgio, Annamaria Salvati, Francesca Rizzo, et al.. (2023). Genome-wide DNA methylation changes upon DOT1L inhibition in hormone-responsive breast cancer cells. Frontiers in Cell and Developmental Biology. 11.

Salvati, Annamaria, Noemi Brusco, Elena Alexandrova, et al.. (2023). Functional Relationships between Long Non-Coding RNAs and Estrogen Receptor Alpha: A New Frontier in Hormone-Responsive Breast Cancer Management. International Journal of Molecular Sciences. 24(2). 1145–1145. 10 indexed citations

Donato, Marzia Di, Erika Di Zazzo, Annamaria Salvati, et al.. (2023). RIZ2 at the crossroad of the EGF/EGFR signaling in colorectal cancer. Journal of Translational Medicine. 21(1). 736–736. 6 indexed citations

Salvati, Annamaria, Assunta Sellitto, Francesca Rizzo, et al.. (2022). Combinatorial targeting of a chromatin complex comprising Dot1L, menin and the tyrosine kinase BAZ1B reveals a new therapeutic vulnerability of endocrine therapy-resistant breast cancer. Breast Cancer Research. 24(1). 52–52. 13 indexed citations

Alexandrova, Elena, Giorgio Giurato, Jessica Lamberti, et al.. (2019). Interaction Proteomics Identifies ERbeta Association with Chromatin Repressive Complexes to Inhibit Cholesterol Biosynthesis and Exert An Oncosuppressive Role in Triple-negative Breast Cancer. Molecular & Cellular Proteomics. 19(2). 245–260. 20 indexed citations

10.

Nassa, Giovanni, Giorgio Giurato, Annamaria Salvati, et al.. (2019). The RNA-mediated estrogen receptor α interactome of hormone-dependent human breast cancer cell nuclei. Scientific Data. 6(1). 173–173. 24 indexed citations

11.

Smaldone, Giovanni, Mariarosaria Incoronato, Katia Pane, et al.. (2019). KCTD15 is overexpressed in human childhood B-cell acute lymphoid leukemia. Scientific Reports. 9(1). 20108–20108. 19 indexed citations

12.

Nassa, Giovanni, Giorgio Giurato, Giovanni Cimmino, et al.. (2018). Splicing of platelet resident pre-mRNAs upon activation by physiological stimuli results in functionally relevant proteome modifications. Scientific Reports. 8(1). 498–498. 58 indexed citations

13.

Cuomo, Danila, Immacolata Porreca, Gilda Cobellis, et al.. (2017). Carcinogenic risk and Bisphenol A exposure: A focus on molecular aspects in endoderm derived glands. Molecular and Cellular Endocrinology. 457. 20–34. 32 indexed citations

14.

Pibiri, Monica, Pia Sulas, Vera P. Leoni, et al.. (2015). Global gene expression profile of normal and regenerating liver in young and old mice. AGE. 37(3). 9796–9796. 23 indexed citations

15.

Scafoglio, Claudio, Antonio Rinaldi, Domenico Memoli, et al.. (2015). Estrogen receptor beta impacts hormone-induced alternative mRNA splicing in breast cancer cells. BMC Genomics. 16(1). 367–367. 25 indexed citations

16.

Nassa, Giovanni, Roberta Tarallo, Giorgio Giurato, et al.. (2014). Post-transcriptional Regulation of Human Breast Cancer Cell Proteome by Unliganded Estrogen Receptor β via microRNAs. Molecular & Cellular Proteomics. 13(4). 1076–1090. 33 indexed citations

17.

Filippo, Maria Rosaria De, Francesca Rizzo, Giovanna Marchese, et al.. (2013). Lack of pathogenic mutations in six patients with MMPSI. Epilepsy Research. 108(2). 340–344. 9 indexed citations

18.

Ambrosino, Concetta, Roberta Tarallo, Danila Cuomo, et al.. (2010). Identification of a Hormone-regulated Dynamic Nuclear Actin Network Associated with Estrogen Receptor α in Human Breast Cancer Cell Nuclei. Molecular & Cellular Proteomics. 9(6). 1352–1367. 57 indexed citations

19.

Nassa, Giovanni, Roberta Tarallo, Pietro Hiram Guzzi, et al.. (2010). Comparative analysis of nuclear estrogen receptor alpha and beta interactomes in breast cancer cells. Molecular BioSystems. 7(3). 667–676. 30 indexed citations

20.

Tarallo, Roberta, Giovanni Nassa, Ernesto Nola, et al.. (2010). Identification of proteins associated with ligand‐activated estrogen receptor α in human breast cancer cell nuclei by tandem affinity purification and nano LC‐MS/MS. PROTEOMICS. 11(1). 172–179. 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.

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