Matteo Franchi

2.3k total citations
92 papers, 1.1k citations indexed

About

Matteo Franchi is a scholar working on Oncology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matteo Franchi has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 18 papers in Epidemiology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matteo Franchi's work include HER2/EGFR in Cancer Research (9 papers), Chronic Disease Management Strategies (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (8 papers). Matteo Franchi is often cited by papers focused on HER2/EGFR in Cancer Research (9 papers), Chronic Disease Management Strategies (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (8 papers). Matteo Franchi collaborates with scholars based in Italy, United States and United Kingdom. Matteo Franchi's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Matteo Franchi

87 papers receiving 1.1k citations

Peers

Matteo Franchi
Comparison fields: 5 of 135
  • Oncology 312
  • Epidemiology 157
  • Pediatrics, Perinatology and Child Health 144
  • Pulmonary and Respiratory Medicine 140
  • Rheumatology 132
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Karen M. Lee United States
Mark Liebow United States
Issa Al Salmi Oman
Thomas Mittendorf Germany
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Citations per field, relative to Matteo Franchi
Matteo Franchi · 1×
Citations per year, relative to Matteo Franchi
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Countries citing papers authored by Matteo Franchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Matteo Franchi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Franchi. A scholar is included among the top collaborators of Matteo Franchi 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 Franchi. Matteo Franchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 2
6 5
7 7
8 1
9 31
10 1
11 14
12 7
13 11
14 8
15 21
16 10
17 67
18 38
19 22
20
[Acute leukemia and pregnancy. Clinical problems and report of 4 cases].
1

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.

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