Anna Pitto
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
Papers in
-
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 3
-
- Calcium signaling and nucleotide metabolism 4
- Co-authors
- Andrea Paolo Bacigalupo (12 shared papers)Marina Podestà (15 shared papers)Francesco Frassoni (13 shared papers)Giovanna Piaggio (11 shared papers)Maria Teresa Van Lint (5 shared papers)Antonio De Flora (6 shared papers)Elena Zocchi (7 shared papers)Luísa Mendonça Franco (4 shared papers)
- Journals
- Experimental Hematology (4 papers)Blood (4 papers)The FASEB Journal (3 papers)The Hematology Journal (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- ItalyUnited StatesBulgaria
In The Last Decade
Anna Pitto
18 papers receiving 706 citations
Peers
Comparison fields: 5 of 67
- Hematology 365
- Physiology 131
- Genetics 198
- Sensory Systems 55
- Immunology 157
Countries citing papers authored by Anna Pitto
This map shows the geographic impact of Anna Pitto'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 Pitto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pitto more than expected).
Fields of papers citing papers by Anna Pitto
This network shows the impact of papers produced by Anna Pitto. 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 Pitto. The network helps show where Anna Pitto may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Pitto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Boost of CD34+-selected peripheral blood cells without further conditioning in patients with poor graft function following allogeneic stem cell transplantation. | 2006 | 104 |
| 2 | 2005 | 102 | |
| 3 | 2001 | 90 | |
| 4 | 2002 | 82 | |
| 5 | 2004 | 71 | |
| 6 | 2000 | 69 | |
| 7 | 1998 | 58 | |
| 8 | 2004 | 45 | |
| 9 | 2001 | 35 | |
| 10 | 2000 | 23 | |
| 11 | 2002 | 19 | |
| 12 | 1999 | 11 | |
| 13 | 2001 | 8 | |
| 14 | 1997 | 6 | |
| 15 | 2000 | 3 | |
| 16 | 1998 | 2 | |
| 17 | 2004 | 1 | |
| 18 | 2001 | 1 |
About Anna Pitto
Anna Pitto is a scholar working on Hematology, Physiology, Genetics, Immunology and Oncology, having authored 18 papers that have together received 730 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Immune Cell Function and Interaction (4 papers), Acute Myeloid Leukemia Research (3 papers), PARP inhibition in cancer therapy (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (365 citations), Physiology (131 citations), Genetics (198 citations), Sensory Systems (55 citations) and Immunology (157 citations). Anna Pitto has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include Andrea Paolo Bacigalupo, Marina Podestà, Francesco Frassoni, Giovanna Piaggio, Maria Teresa Van Lint, Antonio De Flora, Elena Zocchi, Luísa Mendonça Franco, Lucrezia Guida and Santina Bruzzone. Their work appears in journals such as Experimental Hematology, Blood, The FASEB Journal, The Hematology Journal and British Journal of Haematology.
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.