Massimo Corsaro

16 papers receiving 999 citations

Massimo Corsaro's Hit Papers

Methyltransferase Recruitment and DNA Hypermethylation of Target Promoters by an Oncogenic Transcription Factor 2002 · 604 citations
6040+8+16Years since publication200400600

Peers

Massimo Corsaro
Comparison fields: 5 of 67
  • Hematology 234
  • Developmental Neuroscience 70
  • Cellular and Molecular Neuroscience 215
  • Molecular Biology 760
  • Neurology 71
Replace Martine Therrien with:
Martine Therrien Canada
Jiong Tao China
Anna Migdalska‐Richards United Kingdom
Kevin She Canada
Songhui Li United States
Da‐Thao Tran United States
Yoshimitsu Yura Japan
Séverine Drunat France
Marita Meins Switzerland
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Massimo Corsaro relative to Martine Therrien Canada Martine Therrien's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Corsaro

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Corsaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Corsaro, 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 Corsaro Line = papers co-authored together Massimo Corsaro links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Methyltransferase Recruitment and DNA Hypermethylation of Target Promoters by an Oncogenic Transcription Factor
Hit paper breakdown →
2002604
2 200679
3 199571
4 199365
5 201653
6 199749
7 199339
8 202118
9 199516
10 19999
11 20224
12 20213
13 20202
14 20202
15 20201
16 20141

About Massimo Corsaro

Massimo Corsaro is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Developmental Neuroscience, Neurology and Molecular Biology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Breast Cancer Therapies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer Treatment and Pharmacology (3 papers), Epigenetics and DNA Methylation (2 papers), Nerve injury and regeneration (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Hematology (234 citations), Developmental Neuroscience (70 citations), Cellular and Molecular Neuroscience (215 citations), Molecular Biology (760 citations) and Neurology (71 citations). Massimo Corsaro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Veronica A. Raker, Saverio Minucci, Luciano Di Croce, Pier Giuseppe Pelicci, Clara Nervi, Francesco Lo‐Coco, Francesco Fazi, François Fuks, Tony Kouzarides and Mirco Fanelli. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Neurochemistry, Cell and Tissue Research and Neurochemical Research.

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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