Alberto Rocci
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 17
- Acute Myeloid Leukemia Research 3
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- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 3
- Extracellular vesicles in disease 3
- DNA Repair Mechanisms 2
- Co-authors
- Antonio Palumbo (13 shared papers)Manuela Gambella (6 shared papers)Craig C. Hofmeister (5 shared papers)Mario Boccadoro (13 shared papers)Marco Ladetto (10 shared papers)Jecko Thachil (1 shared paper)Charlotte Bradbury (1 shared paper)Dawn Swan (1 shared paper)
- Journals
- Blood (9 papers)Journal of Clinical Oncology (2 papers)Experimental Hematology (2 papers)Pediatric Blood & Cancer (2 papers)Leukemia (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Alberto Rocci
31 papers receiving 661 citations
Peers
Comparison fields: 5 of 58
- Hematology 354
- Genetics 86
- Oncology 154
- Cancer Research 81
- Molecular Biology 381
Countries citing papers authored by Alberto Rocci
This map shows the geographic impact of Alberto Rocci'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 Alberto Rocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Rocci more than expected).
Fields of papers citing papers by Alberto Rocci
This network shows the impact of papers produced by Alberto Rocci. 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 Alberto Rocci. The network helps show where Alberto Rocci may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Rocci, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 92 | |
| 2 | 2016 | 73 | |
| 3 | 2017 | 65 | |
| 4 | 2012 | 57 | |
| 5 | 2014 | 46 | |
| 6 | 2018 | 45 | |
| 7 | 2013 | 36 | |
| 8 | 2007 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2004 | 30 | |
| 11 | 2014 | 22 | |
| 12 | 2007 | 21 | |
| 13 | 2009 | 19 | |
| 14 | 2009 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2003 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2013 | 7 |
About Alberto Rocci
Alberto Rocci is a scholar working on Hematology, Molecular Biology, Physiology, Oncology and Genetics, having authored 32 papers that have together received 669 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Protein Degradation and Inhibitors (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Ubiquitin and proteasome pathways (3 papers), Extracellular vesicles in disease (3 papers), Acute Myeloid Leukemia Research (3 papers), DNA Repair Mechanisms (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hematology (354 citations), Genetics (86 citations), Oncology (154 citations), Cancer Research (81 citations) and Molecular Biology (381 citations). Alberto Rocci has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Palumbo, Manuela Gambella, Craig C. Hofmeister, Mario Boccadoro, Marco Ladetto, Jecko Thachil, Charlotte Bradbury, Dawn Swan, S Caltagirone and Daniel Heintel. Their work appears in journals such as Blood, Journal of Clinical Oncology, Experimental Hematology, Pediatric Blood & Cancer and Leukemia.
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.