Alberto Rocci
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 21
- Multiple Myeloma Research and Treatments 18
- Acute Myeloid Leukemia Research 4
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- Protein Degradation and Inhibitors 7
- Extracellular vesicles in disease 3
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Antonio Palumbo (13 shared papers)Manuela Gambella (6 shared papers)Craig C. Hofmeister (5 shared papers)Mario Boccadoro (13 shared papers)Jecko Thachil (1 shared paper)Marco Ladetto (10 shared papers)Dawn Swan (1 shared paper)Charlotte Bradbury (1 shared paper)
- Journals
- Blood (9 papers)British Journal of Haematology (2 papers)Pediatric Blood & Cancer (2 papers)Leukemia (2 papers)Experimental Hematology (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Alberto Rocci
31 papers receiving 653 citations
Peers
Comparison fields: 5 of 64
- Hematology 373
- Genetics 99
- Oncology 170
- Molecular Biology 417
- Cancer Research 87
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 | 72 | |
| 3 | 2017 | 65 | |
| 4 | 2012 | 56 | |
| 5 | 2014 | 47 | |
| 6 | 2018 | 44 | |
| 7 | 2013 | 36 | |
| 8 | 2007 | 33 | |
| 9 | 2004 | 30 | |
| 10 | 2018 | 28 | |
| 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 661 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (7 papers), Telomeres, Telomerase, and Senescence (6 papers), Acute Myeloid Leukemia Research (4 papers), Extracellular vesicles in disease (3 papers), Ubiquitin and proteasome pathways (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (373 citations), Genetics (99 citations), Oncology (170 citations), Molecular Biology (417 citations) and Cancer Research (87 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, Jecko Thachil, Marco Ladetto, Dawn Swan, Charlotte Bradbury, Arnold Bolomsky and Heinz Ludwig. Their work appears in journals such as Blood, British Journal of Haematology, Pediatric Blood & Cancer, Leukemia and Experimental Hematology.
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.