Massimo Corsaro

16 papers receiving 998 citations

Massimo Corsaro's Hit Papers

Methyltransferase Recruitment and DNA Hypermethylation of Target Promoters by an Oncogenic Transcription Factor 2002 · 605 citations
6050+8+16Years since publication200400600

Peers

Massimo Corsaro
Comparison fields: 5 of 70
  • Hematology 245
  • Developmental Neuroscience 75
  • Cellular and Molecular Neuroscience 221
  • Molecular Biology 781
  • Neurology 72
Replace Martine Therrien with:
Martine Therrien Canada
Joanna Pucilowska United States
Séverine Drunat France
Jiong Tao China
Amanda M. Smith United States
Da‐Thao Tran United States
Naoki Nakaya United States
Songhui Li United States
Yoshimitsu Yura Japan
Anna Migdalska‐Richards United Kingdom
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 →
2002605
2 200679
3 199570
4 199365
5 201653
6 199749
7 199339
8 202117
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, Oncology and Neurology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Advanced Breast Cancer Therapies (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cancer Treatment and Pharmacology (3 papers), Nerve injury and regeneration (2 papers), Breast Cancer Treatment Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Hematology (245 citations), Developmental Neuroscience (75 citations), Cellular and Molecular Neuroscience (221 citations), Molecular Biology (781 citations) and Neurology (72 citations). Massimo Corsaro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luciano Di Croce, Saverio Minucci, Pier Giuseppe Pelicci, Veronica A. Raker, Francesco Fazi, Clara Nervi, Francesco Lo‐Coco, Mirco Fanelli, François Fuks and Mario Faretta. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Neurochemical Research and Science.

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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