Serena Travaglini
- Hematology top 10%
- Acute Myeloid Leukemia Research 16
- Chronic Myeloid Leukemia Treatments 3
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- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
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- Cancer Genomics and Diagnostics 3
- Cancer, Hypoxia, and Metabolism 2
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- Retinoids in leukemia and cellular processes 11
- Histone Deacetylase Inhibitors Research 3
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- Vitamin C and Antioxidants Research 3
- Co-authors
- Maria Teresa VosoTiziana OttoneMariadomenica DivonaNélida I. NogueraFrancesco Lo‐CocoCarmelo GurnariGiulia FalconiEmiliano Fabiani
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Scientific Reports (1 paper)Expert Systems with Applications (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Serena Travaglini
20 papers receiving 209 citations
Peers
Comparison fields: 5 of 43
- Hematology 131
- Genetics 31
- Cancer Research 33
- Molecular Biology 138
- Biochemistry 10
Countries citing papers authored by Serena Travaglini
This map shows the geographic impact of Serena Travaglini'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 Serena Travaglini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Travaglini more than expected).
Fields of papers citing papers by Serena Travaglini
This network shows the impact of papers produced by Serena Travaglini. 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 Serena Travaglini. The network helps show where Serena Travaglini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Serena Travaglini, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 18 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 11 | |
| 18 | 2019 | 30 | |
| 19 | 2019 | 25 | |
| 20 | 2018 | 16 |
About Serena Travaglini
Serena Travaglini is a scholar working on Hematology, Genetics and Cancer Research, having authored 23 papers that have together received 212 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Retinoids in leukemia and cellular processes (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Vitamin C and Antioxidants Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hematology (131 citations), Genetics (31 citations) and Cancer Research (33 citations). Serena Travaglini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Maria Teresa Voso, Tiziana Ottone, Mariadomenica Divona, Nélida I. Noguera, Francesco Lo‐Coco, Carmelo Gurnari, Giulia Falconi, Emiliano Fabiani, Gianfranco Catalano and Serena Lavorgna. Their work appears in journals such as Scientific Reports, Expert Systems with Applications 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.