Mario Notari
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- RNA Interference and Gene Delivery 2
- Congenital heart defects research 2
- Protein Degradation and Inhibitors 1
-
- Chronic Myeloid Leukemia Treatments 5
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Michael A. Caligiuri (5 shared papers)Paolo Neviani (5 shared papers)Danilo Perrotti (5 shared papers)Guido Marcucci (5 shared papers)Ramasamy Santhanam (5 shared papers)Bradley W. Blaser (4 shared papers)Denis‐Claude Roy (4 shared papers)Annamaria Galietta (2 shared papers)
- Journals
- Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Cell (1 paper)BioMed Research International (1 paper)Science Advances (1 paper)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Mario Notari
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Hematology 363
- Genetics 233
- Molecular Biology 711
- Rheumatology 106
- Cancer Research 89
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 | 370 | |
| 2 | 2007 | 269 | |
| 3 | 2005 | 152 | |
| 4 | 2018 | 125 | |
| 5 | 2011 | 45 | |
| 6 | 2007 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 12 | |
| 9 | 2017 | 8 | |
| 10 | [Ridogrel, a new platelet antiaggregant molecule with a double mechanism of action. A pharmacological and clinical profile]. | 1991 | 1 |
| 11 | 2006 | 1 |
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 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), RNA Interference and Gene Delivery (2 papers), Congenital heart defects research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Coronary Artery Anomalies (2 papers), MicroRNA in disease regulation (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (363 citations), Genetics (233 citations), Molecular Biology (711 citations), Rheumatology (106 citations) and Cancer Research (89 citations). Mario Notari has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Michael A. Caligiuri, Paolo Neviani, Danilo Perrotti, Guido Marcucci, Ramasamy Santhanam, Bradley W. Blaser, Denis‐Claude Roy, Annamaria Galietta, Shujun Liu and Rossana Trotta. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Cell, BioMed Research International and Science Advances.
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.