Mario-Luca Suvà
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Sarcoma Diagnosis and Treatment
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 3
- RNA Interference and Gene Delivery 2
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- Sarcoma Diagnosis and Treatment 7
- Co-authors
- Ivan Stamenkovic (16 shared papers)Nicolò Riggi (12 shared papers)Paolo Provero (10 shared papers)Luisa Cironi (8 shared papers)Jean‐Christophe Stehle (6 shared papers)Karine Baumer (7 shared papers)Michalina Janiszewska (7 shared papers)Domizio Suvà (5 shared papers)
- Journals
- Cancer Research (8 papers)PLoS ONE (4 papers)Genes & Development (2 papers)Neurocase (1 paper)The FASEB Journal (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Mario-Luca Suvà
17 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 600
- Pulmonary and Respiratory Medicine 748
- Molecular Biology 1.5k
- Oncology 527
- Genetics 171
Countries citing papers authored by Mario-Luca Suvà
This map shows the geographic impact of Mario-Luca Suvà'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 Mario-Luca Suvà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario-Luca Suvà more than expected).
Fields of papers citing papers by Mario-Luca Suvà
This network shows the impact of papers produced by Mario-Luca Suvà. 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 Mario-Luca Suvà. The network helps show where Mario-Luca Suvà may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario-Luca Suvà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 380 | |
| 2 | 2009 | 305 | |
| 3 | 2005 | 280 | |
| 4 | 2008 | 260 | |
| 5 | 2009 | 243 | |
| 6 | 2016 | 233 | |
| 7 | 2010 | 219 | |
| 8 | 2006 | 115 | |
| 9 | 2008 | 93 | |
| 10 | 2012 | 71 | |
| 11 | 2011 | 65 | |
| 12 | 2004 | 63 | |
| 13 | 2009 | 34 | |
| 14 | 2005 | 9 | |
| 15 | 2006 | 2 | |
| 16 | 2012 | 1 | |
| 17 | 2012 | 1 |
About Mario-Luca Suvà
Mario-Luca Suvà is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (7 papers), RNA Research and Splicing (5 papers), Cardiac tumors and thrombi (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (600 citations), Pulmonary and Respiratory Medicine (748 citations), Molecular Biology (1.5k citations), Oncology (527 citations) and Genetics (171 citations). Mario-Luca Suvà has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Ivan Stamenkovic, Nicolò Riggi, Paolo Provero, Luisa Cironi, Jean‐Christophe Stehle, Karine Baumer, Michalina Janiszewska, Domizio Suvà, Stéphane Tercier and Jean‐Marc Joseph. Their work appears in journals such as Cancer Research, PLoS ONE, Genes & Development, Neurocase and The FASEB Journal.
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.