Sofia Avnet
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer, Hypoxia, and Metabolism 19
- Oncology 28
- Cancer Cells and Metastasis 15
- Bone health and treatments 10
- Co-authors
- Nicola Baldini (102 shared papers)Margherita Cortini (21 shared papers)Francesca Perut (25 shared papers)Gemma Di Pompo (26 shared papers)Manuela Salerno (19 shared papers)Silvia Lemma (15 shared papers)Nicoletta Zini (11 shared papers)Donatella Granchi (21 shared papers)
In The Last Decade
Sofia Avnet
110 papers receiving 6.3k citations
Sofia Avnet's Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 693
- Oncology 1.1k
- Drug Discovery 13
- Biotechnology 304
- Molecular Biology 2.6k
Countries citing papers authored by Sofia Avnet
This map shows the geographic impact of Sofia Avnet'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 Sofia Avnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Avnet more than expected).
Fields of papers citing papers by Sofia Avnet
This network shows the impact of papers produced by Sofia Avnet. 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 Sofia Avnet. The network helps show where Sofia Avnet may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Avnet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The human tumor microbiome is composed of tumor type–specific intracellular bacteria Hit paper breakdown → | 2020 | 1879 |
| 2 | Strawberry-Derived Exosome-Like Nanoparticles Prevent Oxidative Stress in Human Mesenchymal Stromal Cells Hit paper breakdown → | 2021 | 279 |
| 3 | 2020 | 230 | |
| 4 | 2016 | 183 | |
| 5 | 2018 | 168 | |
| 6 | 2014 | 164 | |
| 7 | 2018 | 155 | |
| 8 | 2017 | 138 | |
| 9 | 2014 | 123 | |
| 10 | 2016 | 121 | |
| 11 | 2008 | 114 | |
| 12 | 2006 | 113 | |
| 13 | 2013 | 113 | |
| 14 | 2002 | 97 | |
| 15 | 2016 | 91 | |
| 16 | 2009 | 88 | |
| 17 | 2016 | 86 | |
| 18 | 2017 | 85 | |
| 19 | 2016 | 83 | |
| 20 | 1992 | 79 |
About Sofia Avnet
Sofia Avnet is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 117 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (20 papers), Cancer, Hypoxia, and Metabolism (19 papers), Sarcoma Diagnosis and Treatment (19 papers), Cancer Cells and Metastasis (15 papers), Bone health and treatments (10 papers), Mesenchymal stem cell research (9 papers), 3D Printing in Biomedical Research (9 papers) and Bone Tumor Diagnosis and Treatments (6 papers). The work is most often cited by research in Cancer Research (693 citations), Oncology (1.1k citations), Drug Discovery (13 citations), Biotechnology (304 citations) and Molecular Biology (2.6k citations). Sofia Avnet has collaborated with scholars based in Italy, Japan and Sweden. Frequent co-authors include Nicola Baldini, Margherita Cortini, Francesca Perut, Gemma Di Pompo, Manuela Salerno, Silvia Lemma, Nicoletta Zini, Donatella Granchi, Tokuhiro Chano and Angelo De Milito. Their work appears in journals such as Cancers, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Oncotarget, Journal of Orthopaedic Research® 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.