Michaela Cerri
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 35
- Chronic Lymphocytic Leukemia Research 30
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
-
- Lymphoma Diagnosis and Treatment 24
- Co-authors
- Gianluca Gaïdano (36 shared papers)Davide Rossi (34 shared papers)Daniela Capello (24 shared papers)Clara Deambrogi (22 shared papers)Silvia Rasi (13 shared papers)Valeria Spina (7 shared papers)Lorenzo De Paoli (10 shared papers)Stefania Cresta (7 shared papers)
- Journals
- Blood (19 papers)British Journal of Haematology (12 papers)Hematological Oncology (3 papers)The Journal of Pathology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Michaela Cerri
49 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 57
- Genetics 1.9k
- Pathology and Forensic Medicine 1.7k
- Immunology 824
- Oncology 792
- Hematology 335
Countries citing papers authored by Michaela Cerri
This map shows the geographic impact of Michaela Cerri'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 Michaela Cerri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Cerri more than expected).
Fields of papers citing papers by Michaela Cerri
This network shows the impact of papers produced by Michaela Cerri. 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 Michaela Cerri. The network helps show where Michaela Cerri may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Cerri, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 382 | |
| 2 | 2011 | 330 | |
| 3 | 2009 | 268 | |
| 4 | 2009 | 209 | |
| 5 | 2009 | 198 | |
| 6 | 2008 | 196 | |
| 7 | 2015 | 187 | |
| 8 | 2011 | 165 | |
| 9 | 2016 | 137 | |
| 10 | 2005 | 131 | |
| 11 | 2002 | 75 | |
| 12 | Aberrant somatic hypermutation in transformation of follicular lymphoma and chronic lymphocytic leukemia to diffuse large B-cell lymphoma. | 2006 | 68 |
| 13 | 2012 | 66 | |
| 14 | 2008 | 50 | |
| 15 | 2009 | 48 | |
| 16 | 2003 | 41 | |
| 17 | 2016 | 34 | |
| 18 | 2009 | 32 | |
| 19 | 2009 | 31 | |
| 20 | 2005 | 28 |
About Michaela Cerri
Michaela Cerri is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Immunology and Rheumatology, having authored 51 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (30 papers), Lymphoma Diagnosis and Treatment (24 papers), Viral-associated cancers and disorders (13 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Glycosylation and Glycoproteins Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cancer-related Molecular Pathways (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). The work is most often cited by research in Genetics (1.9k citations), Pathology and Forensic Medicine (1.7k citations), Immunology (824 citations), Oncology (792 citations) and Hematology (335 citations). Michaela Cerri has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gianluca Gaïdano, Davide Rossi, Daniela Capello, Clara Deambrogi, Silvia Rasi, Valeria Spina, Lorenzo De Paoli, Stefania Cresta, Valter Gattei and Antonino Carbone. Their work appears in journals such as Blood, British Journal of Haematology, Hematological Oncology, The Journal of Pathology and Clinical Cancer Research.
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.