Mario Notari
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
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- RNA Interference and Gene Delivery 2
- Congenital heart defects research 2
-
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Ramasamy Santhanam (6 shared papers)Danilo Perrotti (6 shared papers)Michael A. Caligiuri (6 shared papers)Guido Marcucci (5 shared papers)Paolo Neviani (5 shared papers)Bradley W. Blaser (4 shared papers)Denis‐Claude Roy (5 shared papers)Annamaria Galietta (2 shared papers)
- Journals
- Blood (4 papers)Proceedings of the National Academy of Sciences (2 papers)BioMed Research International (1 paper)Journal of Clinical Investigation (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Mario Notari
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Hematology 349
- Genetics 216
- Molecular Biology 668
- Rheumatology 100
- Cancer Research 79
Countries citing papers authored by Mario Notari
This map shows the geographic impact of Mario Notari'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 Notari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Notari more than expected).
Fields of papers citing papers by Mario Notari
This network shows the impact of papers produced by Mario Notari. 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 Notari. The network helps show where Mario Notari may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Notari, 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 | 2005 | 371 | |
| 2 | 2007 | 271 | |
| 3 | 2005 | 152 | |
| 4 | 2018 | 129 | |
| 5 | 2011 | 45 | |
| 6 | 2007 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 12 | |
| 9 | 2017 | 8 | |
| 10 | 2006 | 1 | |
| 11 | [Ridogrel, a new platelet antiaggregant molecule with a double mechanism of action. A pharmacological and clinical profile]. | 1991 | 1 |
| 12 | 2006 | 0 |
About Mario Notari
Mario Notari is a scholar working on Molecular Biology, Hematology, Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Congenital heart defects research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Coronary Artery Anomalies (2 papers) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Hematology (349 citations), Genetics (216 citations), Molecular Biology (668 citations), Rheumatology (100 citations) and Cancer Research (79 citations). Mario Notari has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ramasamy Santhanam, Danilo Perrotti, Michael A. Caligiuri, Guido Marcucci, Paolo Neviani, Bradley W. Blaser, Denis‐Claude Roy, Annamaria Galietta, Rossana Trotta and Shujun Liu. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, BioMed Research International, Journal of Clinical Investigation and Cancer Cell.
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.