Rosa Bernardi

5.7k total citations · 1 hit paper
60 papers, 4.4k citations indexed

About

Rosa Bernardi is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Rosa Bernardi has authored 60 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 20 papers in Hematology and 19 papers in Oncology. Recurrent topics in Rosa Bernardi's work include Retinoids in leukemia and cellular processes (22 papers), Acute Myeloid Leukemia Research (18 papers) and Cancer-related Molecular Pathways (11 papers). Rosa Bernardi is often cited by papers focused on Retinoids in leukemia and cellular processes (22 papers), Acute Myeloid Leukemia Research (18 papers) and Cancer-related Molecular Pathways (11 papers). Rosa Bernardi collaborates with scholars based in Italy, United States and Germany. Rosa Bernardi's co-authors include Pier Paolo Pandolfi, Silvia Grisendi, Julie Teruya‐Feldstein, Keisuke Ito, Carlos Cordon‐Cardo, Pier Paolo Scaglioni, Ke Cheng, Marco Rossi, Katia Manova and Luipa Khandker and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Rosa Bernardi

60 papers receiving 4.3k citations

Hit Papers

Structure, dynamics and functions of promyelocytic leukae... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa Bernardi Italy 29 3.4k 959 946 607 606 60 4.4k
Issay Kitabayashi Japan 41 4.4k 1.3× 1.5k 1.6× 1.1k 1.2× 1.2k 2.0× 531 0.9× 121 6.1k
Javier León Spain 34 2.9k 0.9× 479 0.5× 1.2k 1.3× 378 0.6× 543 0.9× 100 4.0k
Susan D. Demo United States 20 3.0k 0.9× 724 0.8× 901 1.0× 411 0.7× 825 1.4× 38 3.8k
John Easton United States 32 2.3k 0.7× 400 0.4× 675 0.7× 413 0.7× 678 1.1× 84 3.5k
Tim C. P. Somervaille United Kingdom 29 3.3k 0.9× 1.7k 1.8× 654 0.7× 368 0.6× 435 0.7× 105 4.4k
Rikiro Fukunaga Japan 32 3.3k 1.0× 568 0.6× 1.3k 1.4× 1.7k 2.7× 440 0.7× 71 5.7k
Yaacov Ben‐David Canada 37 3.4k 1.0× 577 0.6× 1.2k 1.3× 753 1.2× 853 1.4× 130 5.3k
Serge Roche France 37 3.1k 0.9× 392 0.4× 1.0k 1.1× 509 0.8× 371 0.6× 92 4.5k
N. Shaun B. Thomas United Kingdom 30 1.9k 0.6× 449 0.5× 735 0.8× 778 1.3× 307 0.5× 56 3.1k
Zhi-Min Yuan United States 35 3.0k 0.9× 410 0.4× 1.6k 1.7× 364 0.6× 554 0.9× 61 3.8k

Countries citing papers authored by Rosa Bernardi

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Bernardi

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Bernardi. A scholar is included among the top collaborators of Rosa Bernardi 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 Rosa Bernardi. Rosa Bernardi 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.
Genova, Francesca, Roberta Lucianò, Andrea Raimondi, et al.. (2024). PML restrains p53 activity and cellular senescence in clear cell renal cell carcinoma. EMBO Molecular Medicine. 16(6). 1324–1351. 7 indexed citations
2.
Beretta, Stefano, Federico Rossari, Nadia Coltella, et al.. (2023). The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia. EMBO Molecular Medicine. 15(11). e17810–e17810. 6 indexed citations
3.
Pasquali, Sandro, et al.. (2023). Abstract 6552: ZEB1-AS1 lncRNA prevents ZEB1 suppression and leads to tumor progression in undifferentiated AML subtype. Cancer Research. 83(7_Supplement). 6552–6552. 1 indexed citations
4.
Bernardi, Rosa, et al.. (2022). PML isoforms: a molecular basis for PML pleiotropic functions. Trends in Biochemical Sciences. 47(7). 609–619. 12 indexed citations
5.
Valsecchi, Luca, Giacomo DellʼAntonio, Silvia Galbiati, et al.. (2021). Renal dysfunction and podocyturia in pre-eclampsia may be explained by increased urinary VEGF. Nephrology Dialysis Transplantation. 37(6). 1109–1117. 6 indexed citations
7.
Guarnerio, Jlenia, Luisa Riccardi, Riccardo Taulli, et al.. (2015). A Genetic Platform to Model Sarcomagenesis from Primary Adult Mesenchymal Stem Cells. Cancer Discovery. 5(4). 396–409. 26 indexed citations
8.
Bernardi, Rosa & Luca Gianni. (2014). Hallmarks of triple negative breast cancer emerging at last?. Cell Research. 24(8). 904–905. 44 indexed citations
9.
Giorgi, Carlotta, Keisuke Ito, Hui‐Kuan Lin, et al.. (2010). PML Regulates Apoptosis at Endoplasmic Reticulum by Modulating Calcium Release. Science. 330(6008). 1247–1251. 345 indexed citations
10.
Bernardi, Rosa, Antonella Papa, & Pier Paolo Pandolfi. (2008). Regulation of apoptosis by PML and the PML-NBs. Oncogene. 27(48). 6299–6312. 126 indexed citations
11.
Bernardi, Rosa & Pier Paolo Pandolfi. (2007). Structure, dynamics and functions of promyelocytic leukaemia nuclear bodies. Nature Reviews Molecular Cell Biology. 8(12). 1006–1016. 732 indexed citations breakdown →
12.
Bernardi, Rosa, Ilhem Guernah, David Jin, et al.. (2006). PML inhibits HIF-1α translation and neoangiogenesis through repression of mTOR. Nature. 442(7104). 779–785. 314 indexed citations
13.
Grisendi, Silvia, Rosa Bernardi, Marco Rossi, et al.. (2005). Role of nucleophosmin in embryonic development and tumorigenesis. Nature. 437(7055). 147–153. 421 indexed citations
14.
Bernardi, Rosa, et al.. (2002). The promyelocytic leukemia protein, PML, localizes to the nucleolus after DNA damage, interacts with Mdm2 and promotes p53 stability.. UCL Discovery (University College London). 2 indexed citations
15.
Bernardi, Rosa, Dan A. Liebermann, & Barbara Hoffman. (2000). Cdc25A stability is controlled by the ubiquitin-proteasome pathway during cell cycle progression and terminal differentiation. Oncogene. 19(20). 2447–2454. 63 indexed citations
16.
Bernardi, Rosa, Laura Rossi, Guy G. Poirier, & A. Ivana Scovassi. (1997). Analysis of poly(ADP-ribose) glycohydrolase activity in nuclear extracts from mammalian cells. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1338(1). 60–68. 24 indexed citations
17.
Donzelli, Maddalena, C. Negri, Laura Rossi, et al.. (1997). Poly(ADP-ribose) synthesis: a useful parameter for identifying apoptotic cells. The Histochemical Journal. 29(11-12). 831–837. 20 indexed citations
18.
Bernardi, Rosa. (1995). Activation of poly(ADP-ribose)polymerase in apoptotic human cells. Biochimie. 77(5). 378–384. 22 indexed citations
19.
Negri, C., Rosa Bernardi, Maddalena Donzelli, & A. Ivana Scovassi. (1995). Induction of apoptotic cell death by DNA topoisomerase II inhibitors. Biochimie. 77(11). 893–899. 12 indexed citations
20.
Negri, C., et al.. (1993). The effect of the chemotherapeutic drug VP-16 on poly(ADP-ribosylation) in apoptotic HeLa cells. Carcinogenesis. 14(12). 2559–2564. 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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