Mario Falchetti

23 papers receiving 1.1k citations

Peers

Mario Falchetti
Comparison fields: 5 of 78
  • Genetics 413
  • Pathology and Forensic Medicine 210
  • Cancer Research 158
  • Public Health, Environmental and Occupational Health 290
  • Dermatology 93
Replace Ulla Haglund with:
Ulla Haglund Sweden
Masaaki Okumoto Japan
Tú Nguyen‐Dumont Australia
Shiyu Zhang China
Miriam Fine Australia
Arjun Scott Nanda United Kingdom
Dorothy J. Park United States
Konstantin Khetchoumian France
John Michael Boyle United States
Lihua Cao China
Mario Falchetti relative to Ulla Haglund Sweden Ulla Haglund's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Falchetti

Since Specialization
Citations

This map shows the geographic impact of Mario Falchetti'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 Mario Falchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Falchetti more than expected).

Fields of papers citing papers by Mario Falchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Falchetti. 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 Mario Falchetti. The network helps show where Mario Falchetti may publish in the future.

Co-authors

The 25 scholars most cited alongside Mario Falchetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Falchetti Line = papers co-authored together Mario Falchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008269
2 2008109
3
BRCA1 and BRCA2 mutation status and tumor characteristics in male breast cancer: a population-based study in Italy.
2003105
4
Red meat, family history, and increased risk of gastric cancer with microsatellite instability.
200185
5 200567
6 201261
7 200850
8 200742
9 201041
10 199838
11 199437
12 200536
13 200829
14 200727
15 201125
16 200724
17 201023
18 201017
19 201015
20 200915

About Mario Falchetti

Mario Falchetti is a scholar working on Genetics, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Dermatology and Oncology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (12 papers), Male Breast Health Studies (9 papers), Genetic factors in colorectal cancer (7 papers), Cancer and Skin Lesions (3 papers), Cancer Genomics and Diagnostics (2 papers), Ovarian cancer diagnosis and treatment (2 papers), DNA Repair Mechanisms (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (413 citations), Pathology and Forensic Medicine (210 citations), Cancer Research (158 citations), Public Health, Environmental and Occupational Health (290 citations) and Dermatology (93 citations). Mario Falchetti has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Laura Ottini, Domenico Palli, Calogero Saieva, Giovanna Masala, Francesco Sera, Ines Zanna, Piera Rizzolo, Renato Mariani‐Costantini, Simonetta Bianchi and Angelo Salvatore Calcagnile. Their work appears in journals such as Breast Cancer Research and Treatment, Human Pathology, Journal of Cellular Physiology, Journal of Cellular and Molecular Medicine and Breast Cancer Research.

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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