Massimo Corsaro

1.5k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Massimo Corsaro is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Developmental Neuroscience. According to data from OpenAlex, Massimo Corsaro has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Developmental Neuroscience. Recurrent topics in Massimo Corsaro's work include Advanced Breast Cancer Therapies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Massimo Corsaro is often cited by papers focused on Advanced Breast Cancer Therapies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Massimo Corsaro collaborates with scholars based in Italy, United States and United Kingdom. Massimo Corsaro's co-authors include Saverio Minucci, Pier Giuseppe Pelicci, Luciano Di Croce, Veronica A. Raker, Tony Kouzarides, Francesco Lo‐Coco, Francesco Fazi, François Fuks, Clara Nervi and Mirco Fanelli and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Massimo Corsaro

16 papers receiving 998 citations

Hit Papers

Methyltransferase Recruitment and DNA Hypermethylation of... 2002 2026 2010 2018 2002 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
Massimo Corsaro Italy 10 781 245 221 123 75 16 1.0k
Martine Therrien Canada 12 355 0.5× 135 0.6× 184 0.8× 29 0.2× 12 0.2× 17 808
Joanna Pucilowska United States 15 442 0.6× 61 0.2× 116 0.5× 339 2.8× 69 0.9× 25 947
Joanne Wuu United States 14 383 0.5× 149 0.6× 172 0.8× 85 0.7× 23 0.3× 20 1.1k
Yoshimitsu Yura Japan 15 400 0.5× 323 1.3× 144 0.7× 57 0.5× 24 0.3× 33 985
Songhui Li United States 14 604 0.8× 125 0.5× 256 1.2× 116 0.9× 21 0.3× 20 973
Marita Meins Switzerland 10 288 0.4× 169 0.7× 146 0.7× 85 0.7× 33 0.4× 10 620
Naoki Nakaya United States 16 335 0.4× 59 0.2× 167 0.8× 43 0.3× 49 0.7× 23 682
Séverine Drunat France 21 581 0.7× 72 0.3× 36 0.2× 443 3.6× 25 0.3× 57 1.1k
Amanda M. Smith United States 10 297 0.4× 130 0.5× 121 0.5× 28 0.2× 48 0.6× 18 526
Koichi Murakami Japan 13 135 0.2× 25 0.1× 107 0.5× 56 0.5× 43 0.6× 30 495

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-authorship network of co-authors of Massimo Corsaro

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Corsaro. A scholar is included among the top collaborators of Massimo Corsaro 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 Corsaro. Massimo Corsaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Habr, Dany & Massimo Corsaro. (2022). Reimagining diversity in multiple myeloma clinical trials. Hematological Oncology. 40(4). 689–694. 4 indexed citations
3.
Criscitiello, Carmen, Dean Spurden, James Piercy, et al.. (2021). Health-Related Quality of Life Among Patients With HR+/HER2– Early Breast Cancer. Clinical Therapeutics. 43(7). 1228–1244.e4. 17 indexed citations
4.
Criscitiello, Carmen, Dean Spurden, A. Rider, et al.. (2020). 82P A multinational study of real-world treatment patterns among patients with early stage HR+/HER2- breast cancer (BC). Annals of Oncology. 31. S42–S43. 2 indexed citations
5.
Kahán, Zsuzsanna, Miguel Gil‐Gil, Manuel Ruíz‐Borrego, et al.. (2020). 143P Quality of life (QoL) with palbociclib (PAL) plus endocrine therapy (ET) versus (vs) capecitabine (CAP) in luminal metastatic breast cancer (MBC) patients (pts) in the PEARL study. Annals of Oncology. 31. S66–S67. 1 indexed citations
7.
Reichardt, Peter, George D. Demetri, Hans Gelderblom, et al.. (2016). Correlation of KIT and PDGFRA mutational status with clinical benefit in patients with gastrointestinal stromal tumor treated with sunitinib in a worldwide treatment-use trial. BMC Cancer. 16(1). 22–22. 53 indexed citations
8.
Reichardt, Peter, George D. Demetri, Hans Gelderblom, et al.. (2014). Correlation of KIT and PDGFRA mutational status with clinical benefit in patients (pts) with gastrointestinal stromal tumor (GIST) treated with sunitinib (SU) in a worldwide treatment-use (TU) trial.. Journal of Clinical Oncology. 32(15_suppl). 10549–10549. 1 indexed citations
9.
Villa, Raffaella, Lluís Morey, Veronica A. Raker, et al.. (2006). The methyl-CpG binding protein MBD1 is required for PML-RARα function. Proceedings of the National Academy of Sciences. 103(5). 1400–1405. 79 indexed citations
10.
Croce, Luciano Di, Veronica A. Raker, Massimo Corsaro, et al.. (2002). Methyltransferase Recruitment and DNA Hypermethylation of Target Promoters by an Oncogenic Transcription Factor. Science. 295(5557). 1079–1082. 605 indexed citations breakdown →
11.
Belluardo, Natale, Giuseppa Mudò, Massimo Corsaro, et al.. (1999). Expression of neurotrophins, GDNF, and their receptors in rat thyroid tissue. Cell and Tissue Research. 295(3). 467–475. 9 indexed citations
12.
Condorelli, D. F., P. Dell’Albani, Massimo Corsaro, et al.. (1997). Metabotropic Glutamate Receptor Expression in Cultured Rat Astrocytes and Human Gliomas. Neurochemical Research. 22(9). 1127–1133. 49 indexed citations
13.
Condorelli, D. F., P. Dell’Albani, Giuseppa Mudò, et al.. (1995). Neurotrophins and theirtrk receptors in cultured cells of the glial lineage and in white matter of the central nervous system. Journal of Molecular Neuroscience. 6(4). 237–248. 70 indexed citations
14.
Belluardo, Natale, P. Dell’Albani, Giuseppa Mudò, et al.. (1995). Neurotoxic injury in rat hippocampus differentially affects multiple trkB and trkC transcripts. Neuroscience Letters. 196(1-2). 1–4. 16 indexed citations
15.
Condorelli, D. F., P. Dell’Albani, Massimo Corsaro, Vincenza Barresi, & A. M. Giuffrida Stella. (1993). AMPA‐Selective glutamate receptor subunits in astroglial cultures. Journal of Neuroscience Research. 36(3). 344–356. 39 indexed citations
16.
Condorelli, D. F., P. Dell’Albani, Eleonora Aronica, et al.. (1993). Growth Conditions Differentially Regulate the Expression of α‐Amino‐3‐Hydroxy‐5‐Methylisoxazole‐4‐Propionate (AMPA) Receptor Subunits in Cultured Neurons. Journal of Neurochemistry. 61(6). 2133–2139. 65 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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