Anna Guidetti
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 10%
- CAR-T cell therapy research
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lymphoma Diagnosis and Treatment 27
- Oncology 25
- CAR-T cell therapy research 12
- Viral-associated cancers and disorders 4
- Co-authors
- Carmelo Carlo‐Stella (36 shared papers)Alessandro M. Gianni (29 shared papers)Massimo Di Nicola (24 shared papers)Paolo Corradini (37 shared papers)Michele Magni (15 shared papers)Paola Matteucci (13 shared papers)Silvia L. Locatelli (9 shared papers)Loredana Cleris (7 shared papers)
- Journals
- Blood (22 papers)British Journal of Haematology (6 papers)HemaSphere (3 papers)Clinical Cancer Research (3 papers)Experimental Hematology (3 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Anna Guidetti
57 papers receiving 823 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 271
- Oncology 327
- Hematology 130
- Genetics 115
- Immunology 176
Countries citing papers authored by Anna Guidetti
This map shows the geographic impact of Anna Guidetti'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 Guidetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Guidetti more than expected).
Fields of papers citing papers by Anna Guidetti
This network shows the impact of papers produced by Anna Guidetti. 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 Guidetti. The network helps show where Anna Guidetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Guidetti, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 70 | |
| 2 | 2021 | 55 | |
| 3 | 2008 | 49 | |
| 4 | 2006 | 44 | |
| 5 | 2004 | 41 | |
| 6 | 2013 | 39 | |
| 7 | 2022 | 39 | |
| 8 | 2012 | 38 | |
| 9 | 2004 | 38 | |
| 10 | 2014 | 29 | |
| 11 | 2004 | 28 | |
| 12 | 2013 | 25 | |
| 13 | 2011 | 23 | |
| 14 | 2006 | 21 | |
| 15 | 2013 | 21 | |
| 16 | 2007 | 18 | |
| 17 | 2003 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2007 | 15 |
About Anna Guidetti
Anna Guidetti is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Hematology and Molecular Biology, having authored 63 papers that have together received 841 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (13 papers), CAR-T cell therapy research (12 papers), Hematopoietic Stem Cell Transplantation (5 papers), Multiple Myeloma Research and Treatments (5 papers), Immunotherapy and Immune Responses (4 papers), Viral-associated cancers and disorders (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (271 citations), Oncology (327 citations), Hematology (130 citations), Genetics (115 citations) and Immunology (176 citations). Anna Guidetti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Carmelo Carlo‐Stella, Alessandro M. Gianni, Massimo Di Nicola, Paolo Corradini, Michele Magni, Paola Matteucci, Silvia L. Locatelli, Loredana Cleris, Anna Dodero and Lucia Farina. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Clinical Cancer Research 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.