G Todeschini
- Hematology top 2%
- Acute Myeloid Leukemia Research 4
- Clinical Biochemistry top 2%
- Oncology top 5%
- Neutropenia and Cancer Infections 5
- Viral-associated cancers and disorders 5
- Vascular Tumors and Angiosarcomas 2
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- Lymphoma Diagnosis and Treatment 13
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
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- Acute Lymphoblastic Leukemia research 7
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- CNS Lymphoma Diagnosis and Treatment 3
G Todeschini
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Hematology 391
- Clinical Biochemistry 216
- Oncology 764
- Pathology and Forensic Medicine 498
- Genetics 204
Countries citing papers authored by G Todeschini
This map shows the geographic impact of G Todeschini'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 G Todeschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Todeschini more than expected).
Fields of papers citing papers by G Todeschini
This network shows the impact of papers produced by G Todeschini. 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 G Todeschini. The network helps show where G Todeschini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G Todeschini, 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 | 2024 | 4 | |
| 2 | 2014 | 62 | |
| 3 | 2008 | 3 | |
| 4 | 2006 | 56 | |
| 5 | 2000 | 136 | |
| 6 | 1999 | 57 | |
| 7 | 1998 | 54 | |
| 8 | 1998 | 9 | |
| 9 | 1997 | 27 | |
| 10 | Acute lymphoblastic leukemia (ALL) in elderly patients receiving intensive treatment. Experience in 26 consecutive patients | 1996 | 3 |
| 11 | 1996 | 174 | |
| 12 | 1995 | 50 | |
| 13 | 1995 | 170 | |
| 14 | 1993 | 42 | |
| 15 | MACOP-B for advanced stage large cell lymphoma (DLCL). More is better? | 1991 | 1 |
| 16 | 1991 | 1 | |
| 17 | 1990 | 80 | |
| 18 | 1989 | 27 | |
| 19 | 1988 | 35 | |
| 20 | Blastic OKT6-positive proliferation preceding malignant histiocytosis. | 1986 | 2 |
About G Todeschini
G Todeschini is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Genetics and Clinical Biochemistry, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Neutropenia and Cancer Infections (5 papers), Viral-associated cancers and disorders (5 papers), Acute Myeloid Leukemia Research (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Vascular Tumors and Angiosarcomas (2 papers). The work is most often cited by research in Hematology (391 citations), Clinical Biochemistry (216 citations), Oncology (764 citations), Pathology and Forensic Medicine (498 citations) and Genetics (204 citations). G Todeschini has collaborated with scholars based in Italy, Japan and Croatia. Frequent co-authors include Ercole Concia, Luca Lazzarini, G. Perona, Marco Chilosi, Giovanni Pizzolo, Fabio Benedetti, Vittorio Meneghini, Fabrizio Vinante, Alberto Ambrosetti and Marina Malena. Their work appears in journals such as Annals of Oncology, British Journal of Haematology, Journal of Clinical Oncology, European Journal of Clinical Microbiology & Infectious Diseases and British Journal of Cancer.
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.