Massimo Negrini

56.2k total citations · 14 hit papers
262 papers, 40.0k citations indexed

About

Massimo Negrini is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Massimo Negrini has authored 262 papers receiving a total of 40.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Molecular Biology, 119 papers in Cancer Research and 50 papers in Oncology. Recurrent topics in Massimo Negrini's work include MicroRNA in disease regulation (95 papers), Cancer-related molecular mechanisms research (57 papers) and Circular RNAs in diseases (49 papers). Massimo Negrini is often cited by papers focused on MicroRNA in disease regulation (95 papers), Cancer-related molecular mechanisms research (57 papers) and Circular RNAs in diseases (49 papers). Massimo Negrini collaborates with scholars based in Italy, United States and United Kingdom. Massimo Negrini's co-authors include Carlo M. Croce, George A. Calin, Manuela Ferracin, Masayoshi Shimizu, Chang‐Gong Liu, Silvia Sabbioni, Florencia Bullrich, Stefano Volinia, Calin Dan Dumitru and Angelo Veronese and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Massimo Negrini

256 papers receiving 39.2k citations

Hit Papers

A microRNA expression sig... 2002 2026 2010 2018 2006 2002 2005 2004 2005 1000 2.0k 3.0k 4.0k
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.

  1. A microRNA expression signature of human solid tumors defines cancer gene targets
    2006 4.7k citations Stefano Volinia, George A. Calin et al. Proceedings of the National Academy of Sciences profile →
  2. Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia
    2002 3.9k citations George A. Calin, Calin Dan Dumitru et al. Proceedings of the National Academy of Sciences profile →
  3. MicroRNA Gene Expression Deregulation in Human Breast Cancer
    2005 3.3k citations Marilena V. Iorio, Manuela Ferracin et al. Cancer Research profile →
  4. Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers
    2004 3.3k citations George A. Calin, Cinzia Sevignani et al. Proceedings of the National Academy of Sciences profile →
  5. miR-15 and miR-16 induce apoptosis by targeting BCL2
    2005 2.8k citations Amelia Cimmino, George A. Calin et al. Proceedings of the National Academy of Sciences profile →
  6. MicroRNA profiling reveals distinct signatures in B cell chronic lymphocytic leukemias
    2004 1.0k citations George A. Calin, Chang‐Gong Liu et al. Proceedings of the National Academy of Sciences profile →
  7. A MicroRNA Signature of Hypoxia
    2006 890 citations Manuela Ferracin, Sylwia E. Wojcik et al. profile →
  8. Extensive modulation of a set of microRNAs in primary glioblastoma
    2005 887 citations Manuela Ferracin, Massimo Negrini et al. profile →
  9. An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues
    2004 754 citations Chang‐Gong Liu, George A. Calin et al. Proceedings of the National Academy of Sciences profile →
  10. E2F1-Regulated MicroRNAs Impair TGFβ-Dependent Cell-Cycle Arrest and Apoptosis in Gastric Cancer
    2008 719 citations Fabio Petrocca, Rosa Visone et al. profile →
  11. Cyclin G1 Is a Target of miR-122a, a MicroRNA Frequently Down-regulated in Human Hepatocellular Carcinoma
    2007 670 citations Laura Gramantieri, Manuela Ferracin et al. Cancer Research profile →
  12. MiR-15a and miR-16-1 cluster functions in human leukemia
    2008 607 citations George A. Calin, Amelia Cimmino et al. Proceedings of the National Academy of Sciences profile →
  13. microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer
    2011 545 citations Massimo Negrini et al. profile →
  14. MiR-221 controls CDKN1C/p57 and CDKN1B/p27 expression in human hepatocellular carcinoma
    2008 517 citations Francesca Fornari, Laura Gramantieri et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Massimo Negrini 31.9k 27.7k 4.1k 2.8k 2.7k 262 40.0k
Stefano Volinia 31.8k 1.0× 24.8k 0.9× 3.8k 0.9× 3.2k 1.2× 1.5k 0.6× 240 39.3k
George A. Calin 52.2k 1.6× 48.6k 1.8× 4.0k 1.0× 4.1k 1.5× 2.6k 1.0× 214 62.4k
Hansjüerg Alder 19.0k 0.6× 14.9k 0.5× 2.1k 0.5× 2.1k 0.7× 1.3k 0.5× 120 23.7k
Chang‐Gong Liu 24.8k 0.8× 23.4k 0.8× 2.5k 0.6× 1.8k 0.7× 1.1k 0.4× 76 30.3k
George A. Călin 23.5k 0.7× 21.2k 0.8× 3.2k 0.8× 2.7k 1.0× 956 0.4× 315 30.0k
Takahiro Ochiya 24.1k 0.8× 16.7k 0.6× 3.2k 0.8× 2.4k 0.9× 676 0.3× 468 31.1k
William G. Stetler‐Stevenson 14.4k 0.5× 19.1k 0.7× 13.9k 3.4× 3.0k 1.1× 1.4k 0.5× 282 35.7k
Manuela Ferracin 19.8k 0.6× 18.7k 0.7× 1.9k 0.5× 1.8k 0.6× 1.1k 0.4× 161 24.8k
Karl Tryggvason 15.1k 0.5× 6.8k 0.2× 4.8k 1.2× 4.1k 1.5× 1.9k 0.7× 384 34.3k
Alfredo Fusco 17.8k 0.6× 7.2k 0.3× 7.9k 1.9× 2.4k 0.9× 2.8k 1.0× 504 29.0k

Countries citing papers authored by Massimo Negrini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Negrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Negrini

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Negrini. A scholar is included among the top collaborators of Massimo Negrini 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 Massimo Negrini. Massimo Negrini 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.
Magri, Chiara, Aldo Carnevale, Antonella Ciancetta, et al.. (2024). Near-Complete Response to Osimertinib for Advanced Non-Small-Cell Lung Cancer in a Pretreated Patient Bearing Rare Compound Exon 20 Mutation (S768I + V774M): A Case Report. International Journal of Molecular Sciences. 25(14). 7508–7508.
2.
Gramantieri, Laura, Cristian Bassi, Lucilla D’Abundo, et al.. (2023). Circulating CD8 lymphocytes predict response to atezolizumab–bevacizumab in hepatocellular carcinoma. European Journal of Immunology. 54(2). e2350637–e2350637. 5 indexed citations
3.
Mosca, Alessandro, Diego Calvanese, Luisa Tomasello, et al.. (2022). Gene Expression Landscape of Chronic Myeloid Leukemia K562 Cells Overexpressing the Tumor Suppressor Gene PTPRG. International Journal of Molecular Sciences. 23(17). 9899–9899. 4 indexed citations
4.
Levati, Lauretta, Cristian Bassi, Simona Mastroeni, et al.. (2022). Circulating miR-1246 and miR-485-3p as Promising Biomarkers of Clinical Response and Outcome in Melanoma Patients Treated with Targeted Therapy. Cancers. 14(15). 3706–3706. 7 indexed citations
5.
Gramantieri, Laura, Daniela Pollutri, Martina Gagliardi, et al.. (2020). MiR-30e-3p Influences Tumor Phenotype through MDM2 / TP53 Axis and Predicts Sorafenib Resistance in Hepatocellular Carcinoma. Cancer Research. 80(8). 1720–1734. 50 indexed citations
6.
Fornari, Francesca, Daniela Pollutri, Clarissa Patrizi, et al.. (2017). In Hepatocellular Carcinoma miR-221 Modulates Sorafenib Resistance through Inhibition of Caspase-3–Mediated Apoptosis. Clinical Cancer Research. 23(14). 3953–3965. 137 indexed citations
7.
Miotto, Elena, Elena Saccenti, Laura Lupini, et al.. (2014). Quantification of Circulating miRNAs by Droplet Digital PCR: Comparison of EvaGreen- and TaqMan-Based Chemistries. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2638–2642. 74 indexed citations
8.
Fornari, Francesca, Maddalena Milazzo, Pasquale Chieco, et al.. (2010). MiR-199a-3p Regulates mTOR and c-Met to Influence the Doxorubicin Sensitivity of Human Hepatocarcinoma Cells. Cancer Research. 70(12). 5184–5193. 343 indexed citations
9.
Veronese, Angelo, Laura Lupini, Jessica Consiglio, et al.. (2010). Oncogenic Role of miR-483-3p at the IGF2/483 Locus. Cancer Research. 70(8). 3140–3149. 182 indexed citations
10.
Fornari, Francesca, Laura Gramantieri, Catia Giovannini, et al.. (2009). MiR-122/Cyclin G1 Interaction Modulates p53 Activity and Affects Doxorubicin Sensitivity of Human Hepatocarcinoma Cells. Cancer Research. 69(14). 5761–5767. 343 indexed citations
11.
Gramantieri, Laura, Francesca Fornari, Manuela Ferracin, et al.. (2009). MicroRNA-221 Targets Bmf in Hepatocellular Carcinoma and Correlates with Tumor Multifocality. Clinical Cancer Research. 15(16). 5073–5081. 261 indexed citations
12.
Gramantieri, Laura, Manuela Ferracin, Francesca Fornari, et al.. (2007). Cyclin G1 Is a Target of miR-122a, a MicroRNA Frequently Down-regulated in Human Hepatocellular Carcinoma. Cancer Research. 67(13). 6092–6099. 670 indexed citations breakdown →
13.
Yendamuri, Sai, Francesco Trapasso, Manuela Ferracin, et al.. (2007). Tumor Suppressor Functions of ARLTS1 in Lung Cancers. Cancer Research. 67(16). 7738–7745. 13 indexed citations
14.
Volinia, Stefano, George A. Calin, Chang‐Gong Liu, et al.. (2006). A microRNA expression signature of human solid tumors defines cancer gene targets. Proceedings of the National Academy of Sciences. 103(7). 2257–2261. 4730 indexed citations breakdown →
15.
Petrocca, Fabio, Dimitrios Iliopoulos, Haiyan Qin, et al.. (2006). Alterations of the Tumor Suppressor Gene ARLTS1 in Ovarian Cancer. Cancer Research. 66(21). 10287–10291. 37 indexed citations
16.
Cimmino, Amelia, George A. Calin, Muller Fabbri, et al.. (2005). miR-15 and miR-16 induce apoptosis by targeting BCL2. Proceedings of the National Academy of Sciences. 102(39). 13944–13949. 2787 indexed citations breakdown →
17.
Iorio, Marilena V., Manuela Ferracin, Chang‐Gong Liu, et al.. (2005). MicroRNA Gene Expression Deregulation in Human Breast Cancer. Cancer Research. 65(16). 7065–7070. 3320 indexed citations breakdown →
18.
Miotto, Elena, Silvia Sabbioni, Angelo Veronese, et al.. (2004). Frequent Aberrant Methylation of the CDH4 Gene Promoter in Human Colorectal and Gastric Cancer. Cancer Research. 64(22). 8156–8159. 81 indexed citations
19.
Calin, George A., Calin Dan Dumitru, Masayoshi Shimizu, et al.. (2002). Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proceedings of the National Academy of Sciences. 99(24). 15524–15529. 3875 indexed citations breakdown →
20.
Druck, Teresa, Piotr Hadaczek, T B Fu, et al.. (1997). Structure and expression of the human FHIT gene in normal and tumor cells.. PubMed. 57(3). 504–12. 173 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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