Anna Dodero
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Lymphoma Diagnosis and Treatment 49
- Oncology 42
- CAR-T cell therapy research 26
- Viral-associated cancers and disorders 10
- Co-authors
- Paolo Corradini (60 shared papers)Alessandro Rambaldi (16 shared papers)Corrado Tarella (13 shared papers)Alessandro M. Gianni (15 shared papers)Francesco Zallio (7 shared papers)Marco Bregni (9 shared papers)Francesca F. Patriarca (18 shared papers)Fabio M. Benedetti (5 shared papers)
- Journals
- Blood (28 papers)Leukemia (7 papers)Haematologica (6 papers)Transplantation and Cellular Therapy (5 papers)Hematological Oncology (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Dodero
81 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 60
- Pathology and Forensic Medicine 1.2k
- Hematology 594
- Oncology 961
- Immunology 700
- Genetics 341
Countries citing papers authored by Anna Dodero
This map shows the geographic impact of Anna Dodero'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 Anna Dodero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Dodero more than expected).
Fields of papers citing papers by Anna Dodero
This network shows the impact of papers produced by Anna Dodero. 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 Anna Dodero. The network helps show where Anna Dodero may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Dodero, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 260 | |
| 2 | 2006 | 208 | |
| 3 | 2002 | 170 | |
| 4 | 2002 | 133 | |
| 5 | 2007 | 122 | |
| 6 | 2011 | 114 | |
| 7 | 2012 | 70 | |
| 8 | 2014 | 69 | |
| 9 | 2009 | 64 | |
| 10 | 2009 | 56 | |
| 11 | 2022 | 55 | |
| 12 | 2005 | 52 | |
| 13 | 2012 | 40 | |
| 14 | 2014 | 39 | |
| 15 | 2016 | 39 | |
| 16 | 2005 | 36 | |
| 17 | 2019 | 35 | |
| 18 | 2010 | 34 | |
| 19 | 2014 | 31 | |
| 20 | 1996 | 29 |
About Anna Dodero
Anna Dodero is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Immunology, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (49 papers), CAR-T cell therapy research (26 papers), Hematopoietic Stem Cell Transplantation (17 papers), Chronic Lymphocytic Leukemia Research (17 papers), T-cell and Retrovirus Studies (13 papers), Viral-associated cancers and disorders (10 papers), Acute Lymphoblastic Leukemia research (7 papers) and Cutaneous lymphoproliferative disorders research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Hematology (594 citations), Oncology (961 citations), Immunology (700 citations) and Genetics (341 citations). Anna Dodero has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Corradini, Alessandro Rambaldi, Corrado Tarella, Alessandro M. Gianni, Francesco Zallio, Marco Bregni, Francesca F. Patriarca, Fabio M. Benedetti, Lucia Farina and Franco Narni. Their work appears in journals such as Blood, Leukemia, Haematologica, Transplantation and Cellular Therapy and Hematological Oncology.
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.