Matteo Franchi
- Oncology top 10%
- HER2/EGFR in Cancer Research 9
- Cancer Risks and Factors 6
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies 6
- Rheumatology top 10%
- Geriatrics and Gerontology top 10%
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- Chronic Disease Management Strategies 8
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- Assisted Reproductive Technology and Twin Pregnancy 8
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- Migration, Health and Trauma 6
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 6
- Co-authors
- Giovanni CorraoCarlo La VecchiaAntonio MarchesoniLorenza ScottiEva NegriLuca MerlinoFabio ParazziniAnna Cantarutti
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Matteo Franchi
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Oncology 312
- Obstetrics and Gynecology 87
- Rheumatology 132
- Geriatrics and Gerontology 32
- Family Practice 17
Countries citing papers authored by Matteo Franchi
This map shows the geographic impact of Matteo Franchi'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 Franchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Franchi more than expected).
Fields of papers citing papers by Matteo Franchi
This network shows the impact of papers produced by Matteo Franchi. 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 Franchi. The network helps show where Matteo Franchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matteo Franchi, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 31 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 67 | |
| 18 | 2015 | 38 | |
| 19 | 2014 | 22 | |
| 20 | [Acute leukemia and pregnancy. Clinical problems and report of 4 cases]. | 1982 | 1 |
About Matteo Franchi
Matteo Franchi is a scholar working on Obstetrics and Gynecology, Geriatrics and Gerontology and Oncology, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Chronic Disease Management Strategies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (8 papers), Migration, Health and Trauma (6 papers), Pregnancy and preeclampsia studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Cancer Risks and Factors (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Oncology (312 citations), Obstetrics and Gynecology (87 citations) and Rheumatology (132 citations). Matteo Franchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giovanni Corrao, Carlo La Vecchia, Antonio Marchesoni, Lorenza Scotti, Eva Negri, Luca Merlino, Fabio Parazzini, Anna Cantarutti, Marta Rossi and Federico Rea. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.