Massimo Negrini

56.4k citations
262 papers · 40.2k · 15 hit papers · h-index 79

Impact in

  • Cancer Research top 0.01%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Extracellular vesicles in disease

Papers in

    • Circular RNAs in diseases 43
    • RNA modifications and cancer 32
    • Epigenetics and DNA Methylation 18
    • RNA Interference and Gene Delivery 15
    • MicroRNA in disease regulation 89
    • Cancer-related molecular mechanisms research 51

Massimo Negrini

257 papers receiving 39.4k citations

Massimo Negrini's Hit Papers

microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer 2011 · 547 citations
5470+8+16Years since publication10002.0k3.0k4.0k

Peers

Massimo Negrini
Comparison fields: 5 of 164
  • Cancer Research 25.3k
  • Molecular Biology 27.5k
  • Genetics 2.1k
  • Oncology 3.7k
  • Pathology and Forensic Medicine 2.4k
Replace Stefano Volinia with:
Stefano Volinia Italy
George A. Calin United States
Chang‐Gong Liu United States
Hansjüerg Alder United States
Kevin C. Gatter United Kingdom
William G. Stetler‐Stevenson United States
Manuela Ferracin Italy
George A. Călin United States
Takahiro Ochiya Japan
William C. Hahn United States
Massimo Negrini relative to Stefano Volinia Italy Stefano Volinia's profile →
Citations per field
00.5×1.5×1.8×
Stefano Volinia · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Massimo Negrini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Negrini Line = papers co-authored together Massimo Negrini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 262 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A microRNA expression signature of human solid tumors defines cancer gene targets
Hit paper breakdown →
20064737
2
Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia
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20023880
3
MicroRNA Gene Expression Deregulation in Human Breast Cancer
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20053327
4
Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers
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20043295
5
miR-15 and miR-16 induce apoptosis by targeting BCL2
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20052796
6
MicroRNA profiling reveals distinct signatures in B cell chronic lymphocytic leukemias
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20041020
7
A MicroRNA Signature of Hypoxia
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2006893
8
Extensive modulation of a set of microRNAs in primary glioblastoma
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2005886
9
An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues
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2004754
10
E2F1-Regulated MicroRNAs Impair TGFβ-Dependent Cell-Cycle Arrest and Apoptosis in Gastric Cancer
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2008721
11
Cyclin G1 Is a Target of miR-122a, a MicroRNA Frequently Down-regulated in Human Hepatocellular Carcinoma
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2007671
12
MiR-15a and miR-16-1 cluster functions in human leukemia
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2008609
13
microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer
Hit paper breakdown →
2011547
14
MiR-221 controls CDKN1C/p57 and CDKN1B/p27 expression in human hepatocellular carcinoma
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2008518
15
Micro-RNA profiling in kidney and bladder cancers
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2007500
16 1996459
17 2006428
18
Down-regulation of bcl-2 by p53 in breast cancer cells.
1994412
19 2010345
20 2009342

About Massimo Negrini

Massimo Negrini is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Genetics, having authored 262 papers that have together received 40.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (89 papers), Cancer-related molecular mechanisms research (51 papers), Circular RNAs in diseases (43 papers), RNA modifications and cancer (32 papers), Chronic Lymphocytic Leukemia Research (31 papers), Polyomavirus and related diseases (20 papers), Epigenetics and DNA Methylation (18 papers) and RNA Interference and Gene Delivery (15 papers). The work is most often cited by research in Cancer Research (25.3k citations), Molecular Biology (27.5k citations), Genetics (2.1k citations), Oncology (3.7k citations) and Pathology and Forensic Medicine (2.4k citations). Massimo Negrini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Oncotarget, Oncogene and PLoS ONE.

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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