Matteo Puntoni
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Surgery top 5%
- Genetics top 5%
- Co-authors
- Andrea DeCensiAlessandra GennariSara GandiniBernardo BonanniMassimiliano CazzanigaPamela J. GoodwinPaolo BruzziBarbara K. Dunn
- Topics
- Metabolism, Diabetes, and Cancer (16 papers)Estrogen and related hormone effects (16 papers)Cancer Risks and Factors (15 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Matteo Puntoni
133 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 1.8k
- Molecular Biology 1.7k
- Cancer Research 1.2k
- Surgery 731
- Genetics 668
Countries citing papers authored by Matteo Puntoni
This map shows the geographic impact of Matteo Puntoni'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 Matteo Puntoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Puntoni more than expected).
Fields of papers citing papers by Matteo Puntoni
This network shows the impact of papers produced by Matteo Puntoni. 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 Matteo Puntoni. The network helps show where Matteo Puntoni may publish in the future.
Co-authorship network of co-authors of Matteo Puntoni
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Puntoni. A scholar is included among the top collaborators of Matteo Puntoni 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 Matteo Puntoni. Matteo Puntoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | Prognostic Factors for Post-COVID-19 Syndrome: A Systematic Review and Meta-Analysisbreakdown → | 111 |
| 9 | Agreement of a Short Form of the Self-Administered Multidimensional Prognostic Index (SELFY-MPI-SF): A Useful Tool for the Self-Assessment of Frailty in Community-Dwelling Older People | 1 |
| 10 | 5 | |
| 11 | 71 | |
| 12 | 11 | |
| 13 | 55 | |
| 14 | 27 | |
| 15 | 340 | |
| 16 | 195 | |
| 17 | 14 | |
| 18 | 48 | |
| 19 | Metformin and Cancer Risk in Diabetic Patients: A Systematic Review and Meta-analysisbreakdown → | 713 |
| 20 | 258 |
About Matteo Puntoni
Matteo Puntoni is a scholar working on Cancer Research, Oncology and Geriatrics and Gerontology, having authored 139 papers that have together received 4.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (16 papers), Estrogen and related hormone effects (16 papers) and Cancer Risks and Factors (15 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.8k citations) and Endocrinology, Diabetes and Metabolism (582 citations). Matteo Puntoni has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Andrea DeCensi, Alessandra Gennari, Sara Gandini, Bernardo Bonanni, Massimiliano Cazzaniga, Pamela J. Goodwin, Paolo Bruzzi, Barbara K. Dunn, Éva Szabó and Brandy M. Heckman‐Stoddard. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.