Angela Calastretti
- Molecular Biology
- Oncology
- Cancer Research
- Endocrine and Autonomic Systems top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- A NicolinGianfranco CantiAnnamaria BevilacquaS. CapaccioliG. GattiLaura AsnaghiDomenico DeliaIgea D’Agnano
- Topics
- PI3K/AKT/mTOR signaling in cancer (3 papers)Circadian rhythm and melatonin (2 papers)Microtubule and mitosis dynamics (2 papers)
- Partner nations
- Italy
In The Last Decade
Angela Calastretti
13 papers receiving 433 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 286
- Oncology 70
- Cancer Research 67
- Endocrine and Autonomic Systems 57
- Pulmonary and Respiratory Medicine 50
Countries citing papers authored by Angela Calastretti
This map shows the geographic impact of Angela Calastretti'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 Angela Calastretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Calastretti more than expected).
Fields of papers citing papers by Angela Calastretti
This network shows the impact of papers produced by Angela Calastretti. 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 Angela Calastretti. The network helps show where Angela Calastretti may publish in the future.
Co-authorship network of co-authors of Angela Calastretti
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Calastretti. A scholar is included among the top collaborators of Angela Calastretti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angela Calastretti. Angela Calastretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 48 | |
| 3 | 17 | |
| 4 | 23 | |
| 5 | 11 | |
| 6 | 36 | |
| 7 | 18 | |
| 8 | 118 | |
| 9 | 0 | |
| 10 | Inhibition of tumor cell proliferation by linear polyunsaturated aldehydes | 1 |
| 11 | 37 | |
| 12 | 45 | |
| 13 | Quantitation of bcl-2 oncogene in cultured lymphoma/leukemia cell lines and in primary leukemia B-cells by a highly sensitive RT-PCR method. | 12 |
| 14 | A bcl-2/IgH antisense transcript deregulates bcl-2 gene expression in human follicular lymphoma t(14;18) cell lines. | 54 |
About Angela Calastretti
Angela Calastretti is a scholar working on Endocrine and Autonomic Systems, Cancer Research and Cell Biology, having authored 14 papers that have together received 440 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Circadian rhythm and melatonin (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (57 citations), Cancer Research (67 citations) and Molecular Biology (286 citations). Angela Calastretti has collaborated with scholars based in Italy. Frequent co-authors include A Nicolin, Gianfranco Canti, Annamaria Bevilacqua, S. Capaccioli, G. Gatti, Laura Asnaghi, Domenico Delia, Igea D’Agnano, Elena Copreni and S. Dugnani. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and International Journal of Molecular Sciences.
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.