Maurizio Affer
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 5
- Ubiquitin and proteasome pathways 3
- RNA regulation and disease 3
- RNA modifications and cancer 3
- Hematology 12
- Multiple Myeloma Research and Treatments 8
- Acute Myeloid Leukemia Research 3
- Co-authors
- Marta Chesi (6 shared papers)P. Leif Bergsagel (6 shared papers)Davide F. Robbiani (4 shared papers)Rafaël Fonseca (3 shared papers)Michaël Sébag (1 shared paper)Giorgio Cattoretti (1 shared paper)Stephen Palmer (1 shared paper)Scott Ely (1 shared paper)
- Journals
- Blood (6 papers)npj Precision Oncology (2 papers)Genomics (2 papers)Blood Cancer Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Maurizio Affer
21 papers receiving 840 citations
Peers
Comparison fields: 5 of 67
- Hematology 387
- Genetics 84
- Molecular Biology 523
- Oncology 161
- Cancer Research 66
Countries citing papers authored by Maurizio Affer
This map shows the geographic impact of Maurizio Affer'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 Maurizio Affer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Affer more than expected).
Fields of papers citing papers by Maurizio Affer
This network shows the impact of papers produced by Maurizio Affer. 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 Maurizio Affer. The network helps show where Maurizio Affer may publish in the future.
Co-authors
The 25 scholars most cited alongside Maurizio Affer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 261 | |
| 2 | 2014 | 185 | |
| 3 | 2004 | 133 | |
| 4 | 2000 | 53 | |
| 5 | 2019 | 39 | |
| 6 | 2011 | 30 | |
| 7 | 2011 | 29 | |
| 8 | 2021 | 29 | |
| 9 | 1999 | 26 | |
| 10 | 1999 | 16 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 9 | |
| 13 | 2004 | 8 | |
| 14 | 1999 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 3 | |
| 17 | 2012 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2004 | 1 |
About Maurizio Affer
Maurizio Affer is a scholar working on Molecular Biology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 22 papers that have together received 855 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (3 papers), Acute Myeloid Leukemia Research (3 papers), RNA regulation and disease (3 papers), RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (387 citations), Genetics (84 citations), Molecular Biology (523 citations), Oncology (161 citations) and Cancer Research (66 citations). Maurizio Affer has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Marta Chesi, P. Leif Bergsagel, Davide F. Robbiani, Rafaël Fonseca, Michaël Sébag, Giorgio Cattoretti, Stephen Palmer, Scott Ely, Richard Kremer and Rodger E. Tiedemann. Their work appears in journals such as Blood, npj Precision Oncology, Genomics, Blood Cancer Journal and Cell Reports.
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.