Anna Dodero
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 39
- CAR-T cell therapy research 23
- Viral-associated cancers and disorders 9
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- Lymphoma Diagnosis and Treatment 38
- Co-authors
- Paolo Corradini (63 shared papers)Alessandro Rambaldi (17 shared papers)Corrado Tarella (14 shared papers)Alessandro M. Gianni (16 shared papers)Marco Bregni (10 shared papers)Francesco Zallio (7 shared papers)Francesca Patriarca (19 shared papers)Fabio Benedetti (5 shared papers)
- Journals
- Blood (32 papers)British Journal of Haematology (5 papers)Leukemia (4 papers)Biology of Blood and Marrow Transplantation (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Dodero
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 56
- Pathology and Forensic Medicine 890
- Hematology 510
- Oncology 748
- Immunology 593
- Genetics 243
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 217 | |
| 2 | 2006 | 189 | |
| 3 | 2002 | 159 | |
| 4 | 2002 | 125 | |
| 5 | 2007 | 101 | |
| 6 | 2011 | 94 | |
| 7 | 2014 | 62 | |
| 8 | 2012 | 56 | |
| 9 | 2009 | 53 | |
| 10 | 2005 | 47 | |
| 11 | 2009 | 42 | |
| 12 | 2022 | 39 | |
| 13 | 2012 | 38 | |
| 14 | 2016 | 36 | |
| 15 | 2005 | 33 | |
| 16 | 2014 | 32 | |
| 17 | 2010 | 29 | |
| 18 | 2014 | 27 | |
| 19 | 1996 | 25 | |
| 20 | 2020 | 23 |
About Anna Dodero
Anna Dodero is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Hematology and Genetics, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), CAR-T cell therapy research (23 papers), Hematopoietic Stem Cell Transplantation (16 papers), T-cell and Retrovirus Studies (14 papers), Chronic Lymphocytic Leukemia Research (14 papers), Viral-associated cancers and disorders (9 papers), Immune Cell Function and Interaction (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (890 citations), Hematology (510 citations), Oncology (748 citations), Immunology (593 citations) and Genetics (243 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, Marco Bregni, Francesco Zallio, Francesca Patriarca, Fabio Benedetti, Lucia Farina and Franco Narni. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia, Biology of Blood and Marrow Transplantation and Journal of Clinical 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.