Massimo Squatrito

8.2k citations
35 papers · 3.0k indexed · h-index 26

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Massimo Squatrito

34 papers receiving 3.0k citations

Peers

Massimo Squatrito
Comparison fields: 5 of 94
  • Genetics 845
  • Cancer Research 1.0k
  • Oncology 822
  • Molecular Biology 2.0k
  • Developmental Neuroscience 87
Replace Mario L. Suvà with:
Mario L. Suvà United States
Alan H. Shih United States
Erin E. Mulkearns-Hubert United States
Briana C. Prager United States
Svetlana Kotliarova United States
Esther Hulleman Netherlands
Ichiro Nakano United States
Lene Uhrbom Sweden
Claudia Petritsch United States
Qiulian Wu United States
Massimo Squatrito relative to Mario L. Suvà United States Mario L. Suvà's profile →
Citations per field
00.5×1.5×
Mario L. Suvà · 1×
Citations per year

Countries citing papers authored by Massimo Squatrito

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Squatrito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20217
3 202132
4 202158
5 202045
6 201724
7 201760
8 201632
9 2014267
10 201395
11 201232
12 201268
13 201026
14 2010417
15 2009376
16 200880
17 200724
18 2006248
19 200659
20 2004109

About Massimo Squatrito

Massimo Squatrito is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Developmental Neuroscience, having authored 35 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), DNA Repair Mechanisms (7 papers), MicroRNA in disease regulation (6 papers), Cancer-related Molecular Pathways (5 papers), RNA Research and Splicing (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (845 citations), Cancer Research (1.0k citations), Oncology (822 citations), Molecular Biology (2.0k citations) and Developmental Neuroscience (87 citations). Massimo Squatrito has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Eric C. Holland, Cameron Brennan, Tatsuya Ozawa, Nikki Charles, Dolores Hambardzumyan, Bruno Amati, Chiara Gorrini, Karim Y. Helmy, Anne-Marie Bleau and Eric C. Holland. Their work appears in journals such as Cancer Research, Cancer Cell, Nature Communications, Oncogene and Genes & Development.

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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