Francesca Buontempo
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 4
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 6
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 11
- Cell death mechanisms and regulation 4
- Biochemical and Molecular Research 3
- Protein Kinase Regulation and GTPase Signaling 3
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- Acute Lymphoblastic Leukemia research 7
- Biochemistry top 10%
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- Cancer Mechanisms and Therapy 3
- Co-authors
- Alberto M. MartelliJames A. McCubreyFrancesca ChiariniCamilla EvangelistiAnnalisa LonettiAlessandra CappelliniEster OrsiniCecilia Evangelisti
- Cited by
- HematologyGeneticsMolecular Biology
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Cellular Physiology (1 paper)European Journal of Cancer (2 papers)
- Partner nations
- ItalyUnited StatesPortugal
In The Last Decade
Francesca Buontempo
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Hematology 278
- Genetics 129
- Molecular Biology 699
- Public Health, Environmental and Occupational Health 257
- Biochemistry 52
Countries citing papers authored by Francesca Buontempo
This map shows the geographic impact of Francesca Buontempo'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 Francesca Buontempo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Buontempo more than expected).
Fields of papers citing papers by Francesca Buontempo
This network shows the impact of papers produced by Francesca Buontempo. 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 Francesca Buontempo. The network helps show where Francesca Buontempo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesca Buontempo, 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 | 2019 | 13 | |
| 2 | 2018 | 25 | |
| 3 | 2017 | 28 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 69 | |
| 6 | 2016 | 49 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 34 | |
| 9 | 2015 | 48 | |
| 10 | 2015 | 106 | |
| 11 | 2014 | 33 | |
| 12 | 2014 | 76 | |
| 13 | 2014 | 20 | |
| 14 | 2014 | 40 | |
| 15 | 2013 | 55 | |
| 16 | 2013 | 17 | |
| 17 | 2013 | 75 | |
| 18 | 2011 | 1 | |
| 19 | 2010 | 47 | |
| 20 | 2008 | 21 |
About Francesca Buontempo
Francesca Buontempo is a scholar working on Genetics, Hematology and Biochemistry, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cell death mechanisms and regulation (4 papers), Cancer Mechanisms and Therapy (3 papers), Biochemical and Molecular Research (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Hematology (278 citations), Genetics (129 citations) and Molecular Biology (699 citations). Francesca Buontempo has collaborated with scholars based in Italy, United States and Portugal. Frequent co-authors include Alberto M. Martelli, James A. McCubrey, Francesca Chiarini, Camilla Evangelisti, Annalisa Lonetti, Alessandra Cappellini, Ester Orsini, Cecilia Evangelisti, Luca M. Neri and Daniela Bressanin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology and European 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.