Mario Lazzarino
- Hematology top 0.05%
- Genetics top 0.05%
- Molecular Biology top 2%
- Pathology and Forensic Medicine top 0.2%
- Oncology top 1%
- Co-authors
- Cristiana PascuttoFrancesco PassamontiMario CazzolaLuca ArcainiPaolo BernasconiEnrica MorraMatteo Giovanni Della PortaAlessandro Corso
- Topics
- Acute Myeloid Leukemia Research (80 papers)Lymphoma Diagnosis and Treatment (79 papers)Chronic Lymphocytic Leukemia Research (60 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Mario Lazzarino
232 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Hematology 5.6k
- Genetics 5.0k
- Molecular Biology 2.6k
- Pathology and Forensic Medicine 2.6k
- Oncology 2.4k
Countries citing papers authored by Mario Lazzarino
This map shows the geographic impact of Mario Lazzarino'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 Lazzarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Lazzarino more than expected).
Fields of papers citing papers by Mario Lazzarino
This network shows the impact of papers produced by Mario Lazzarino. 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 Lazzarino. The network helps show where Mario Lazzarino may publish in the future.
Co-authorship network of co-authors of Mario Lazzarino
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Lazzarino. A scholar is included among the top collaborators of Mario Lazzarino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Lazzarino. Mario Lazzarino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 12 | |
| 5 | 25 | |
| 6 | 40 | |
| 7 | 85 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 8 | |
| 13 | 114 | |
| 14 | Clinical and cytologic characteristics of blastic phase in Ph-positive chronic myeloid leukemia treated with alpha-interferon. | 5 |
| 15 | 9 | |
| 16 | 31 | |
| 17 | IL TRATTAMENTO DELLA LEUCEMIA MIELOIDE CRONICA (LMC) CON INTERFERONE ∅-2B (IFN ∅2B) | 1 |
| 18 | 7 | |
| 19 | 21 | |
| 20 | 25 |
About Mario Lazzarino
Mario Lazzarino is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 236 papers that have together received 9.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (80 papers), Lymphoma Diagnosis and Treatment (79 papers) and Chronic Lymphocytic Leukemia Research (60 papers). The work is most often cited by research in Hematology (5.6k citations), Genetics (5.0k citations) and Pathology and Forensic Medicine (2.6k citations). Mario Lazzarino has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Cristiana Pascutto, Francesco Passamonti, Mario Cazzola, Luca Arcaini, Paolo Bernasconi, Enrica Morra, Matteo Giovanni Della Porta, Alessandro Corso, Luca Malcovati and Elisa Rumi. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
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.