Antonio Sacco
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 48
- Chronic Myeloid Leukemia Treatments 10
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 48
- Cancer Research top 1%
- MicroRNA in disease regulation 15
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- Lymphoma Diagnosis and Treatment 19
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 13
- Extracellular vesicles in disease 9
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- Chemokine receptors and signaling 13
- Co-authors
- Aldo M. RoccaroIrene M. GhobrialFeda AzabAbdel Kareem AzabPatricia MaisoXavier LeleuSalomon ManierKenneth C. Anderson
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Antonio Sacco
110 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Hematology 1.6k
- Genetics 987
- Cancer Research 1.2k
- Pathology and Forensic Medicine 764
- Molecular Biology 2.6k
Countries citing papers authored by Antonio Sacco
This map shows the geographic impact of Antonio Sacco'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 Antonio Sacco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Sacco more than expected).
Fields of papers citing papers by Antonio Sacco
This network shows the impact of papers produced by Antonio Sacco. 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 Antonio Sacco. The network helps show where Antonio Sacco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonio Sacco, 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 | 2021 | 12 | |
| 2 | 2021 | 14 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 70 | |
| 7 | 2018 | 45 | |
| 8 | 2018 | 17 | |
| 9 | 2017 | 65 | |
| 10 | 2016 | 41 | |
| 11 | 2016 | 36 | |
| 12 | 2015 | 166 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2011 | 34 | |
| 17 | 2011 | 1 | |
| 18 | 2009 | 15 | |
| 19 | 2009 | 3 | |
| 20 | 2009 | 3 |
About Antonio Sacco
Antonio Sacco is a scholar working on Hematology, Genetics and Cancer Research, having authored 111 papers that have together received 4.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (48 papers), Multiple Myeloma Research and Treatments (48 papers), Lymphoma Diagnosis and Treatment (19 papers), MicroRNA in disease regulation (15 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Chemokine receptors and signaling (13 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Extracellular vesicles in disease (9 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (987 citations) and Cancer Research (1.2k citations). Antonio Sacco has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Aldo M. Roccaro, Irene M. Ghobrial, Feda Azab, Abdel Kareem Azab, Patricia Maiso, Xavier Leleu, Salomon Manier, Kenneth C. Anderson, Hai T. Ngo and Michaela R. Reagan. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.