Tamara Bittolo
Impact in
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- Chronic Lymphocytic Leukemia Research
- Genetics and Neurodevelopmental Disorders
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- Neonatal Health and Biochemistry
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 9
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- PI3K/AKT/mTOR signaling in cancer 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Gabriele Baj (2 shared papers)Riccardo Bomben (10 shared papers)Valter Gattei (10 shared papers)Antonella Zucchetto (8 shared papers)Erika Tissino (6 shared papers)Federico Pozzo (7 shared papers)Michele Dal Bo (6 shared papers)Valentina Vaghi (1 shared paper)
- Journals
- Cancers (2 papers)Haematologica (2 papers)Scientific Reports (1 paper)HemaSphere (1 paper)Leukemia (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Tamara Bittolo
10 papers receiving 230 citations
Peers
Comparison fields: 5 of 61
- Genetics 57
- Pediatrics, Perinatology and Child Health 35
- Hematology 20
- Biological Psychiatry 4
- Molecular Biology 115
Countries citing papers authored by Tamara Bittolo
This map shows the geographic impact of Tamara Bittolo'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 Tamara Bittolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Bittolo more than expected).
Fields of papers citing papers by Tamara Bittolo
This network shows the impact of papers produced by Tamara Bittolo. 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 Tamara Bittolo. The network helps show where Tamara Bittolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Bittolo, 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 | 2015 | 48 | |
| 2 | 2017 | 46 | |
| 3 | 2016 | 44 | |
| 4 | 2014 | 38 | |
| 5 | 2022 | 20 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2015 | 0 | |
| 12 | 2017 | 0 |
About Tamara Bittolo
Tamara Bittolo is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 232 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA modifications and cancer (2 papers), Autism Spectrum Disorder Research (1 paper), Biomedical Research and Pathophysiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (57 citations), Pediatrics, Perinatology and Child Health (35 citations), Hematology (20 citations), Biological Psychiatry (4 citations) and Molecular Biology (115 citations). Tamara Bittolo has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Gabriele Baj, Riccardo Bomben, Valter Gattei, Antonella Zucchetto, Erika Tissino, Federico Pozzo, Michele Dal Bo, Valentina Vaghi, Francesca Maria Rossi and Elena Vendramini. Their work appears in journals such as Cancers, Haematologica, Scientific Reports, HemaSphere and Leukemia.
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.