Mario L. Suvà
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Genetics top 1%
- Glioma Diagnosis and Treatment
Papers in
-
- Single-cell and spatial transcriptomics 12
- Epigenetics and DNA Methylation 9
- Chromatin Remodeling and Cancer 4
- Genetics 23
- Glioma Diagnosis and Treatment 23
- Co-authors
- B Bernstein (9 shared papers)Itay Tirosh (13 shared papers)Nicolò Riggi (4 shared papers)Shawn Gillespie (6 shared papers)William Flavahan (2 shared papers)Brian B. Liau (2 shared papers)Andrew S. Venteicher (3 shared papers)Anat Stemmer‐Rachamimov (2 shared papers)
- Journals
- Neuro-Oncology (8 papers)Science (3 papers)Cancer Cell (3 papers)Neurosurgery (2 papers)Nature (2 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Mario L. Suvà
44 papers receiving 4.4k citations
Mario L. Suvà's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 1.4k
- Genetics 946
- Molecular Biology 3.2k
- Oncology 947
- Immunology 559
Countries citing papers authored by Mario L. Suvà
This map shows the geographic impact of Mario L. 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 L. 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 L. Suvà more than expected).
Fields of papers citing papers by Mario L. Suvà
This network shows the impact of papers produced by Mario L. 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 L. Suvà. The network helps show where Mario L. Suvà may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario L. 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Insulator dysfunction and oncogene activation in IDH mutant gliomas Hit paper breakdown → | 2015 | 867 |
| 2 | Epigenetic Reprogramming in Cancer Hit paper breakdown → | 2013 | 516 |
| 3 | Alternative lengthening of telomeres renders cancer cells hypersensitive to ATR inhibitors Hit paper breakdown → | 2015 | 376 |
| 4 | 2012 | 376 | |
| 5 | 2016 | 354 | |
| 6 | 2019 | 301 | |
| 7 | 2013 | 197 | |
| 8 | 2014 | 186 | |
| 9 | Ewing’s Sarcoma Hit paper breakdown → | 2021 | 175 |
| 10 | 2020 | 172 | |
| 11 | 2017 | 141 | |
| 12 | 2018 | 126 | |
| 13 | 2017 | 104 | |
| 14 | 2019 | 101 | |
| 15 | 2019 | 88 | |
| 16 | 2017 | 52 | |
| 17 | 2024 | 33 | |
| 18 | 2016 | 32 | |
| 19 | 2020 | 31 | |
| 20 | 2018 | 31 |
About Mario L. Suvà
Mario L. Suvà is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 47 papers that have together received 4.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Single-cell and spatial transcriptomics (12 papers), Epigenetics and DNA Methylation (9 papers), Cancer Genomics and Diagnostics (7 papers), MicroRNA in disease regulation (4 papers), CAR-T cell therapy research (4 papers), Chromatin Remodeling and Cancer (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (1.4k citations), Genetics (946 citations), Molecular Biology (3.2k citations), Oncology (947 citations) and Immunology (559 citations). Mario L. Suvà has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include B Bernstein, Itay Tirosh, Nicolò Riggi, Shawn Gillespie, William Flavahan, Brian B. Liau, Andrew S. Venteicher, Anat Stemmer‐Rachamimov, Yotam Drier and Ivan Stamenkovic. Their work appears in journals such as Neuro-Oncology, Science, Cancer Cell, Neurosurgery and Nature.
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.