Matteo Fassan

43.0k citations
522 papers · 14.5k indexed · 2 hit papers · h-index 62

Matteo Fassan

496 papers receiving 14.3k citations

Hit Papers

YAP/TAZ activity in stromal cells pre...1842017202620202023100200300

Peers

Matteo Fassan
Comparison fields: 5 of 157
  • Cancer Research 4.8k
  • Oncology 4.7k
  • Gastroenterology 877
  • Pulmonary and Respiratory Medicine 3.9k
  • Surgery 3.8k
Replace Hidetoshi Eguchi with:
Hidetoshi Eguchi Japan
Woo Ho Kim South Korea
Yoshinao Oda Japan
Wael El‐Rifai United States
Elizabeth A. Montgomery United States
Silvana Pilotti Italy
Anil K. Rustgi United States
G. Johan A. Offerhaus Netherlands
Lee J. Helman United States
Vikram Deshpande United States
Matteo Fassan relative to Hidetoshi Eguchi Japan Hidetoshi Eguchi's profile →
Citations per field
00.5×1.5×2.3×
Hidetoshi Eguchi · 1×
Citations per year

Countries citing papers authored by Matteo Fassan

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Fassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matteo Fassan, 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 Matteo Fassan Line = papers co-authored together Matteo Fassan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 20243
3 20240
4 20231
5 202321
6 20232
7 202117
8 20216
9 202023
10 202036
11 202050
12 201928
13 201882
14 2018124
15 201833
16 20179
17 201733
18 201726
19 2014235
20 201240

About Matteo Fassan

Matteo Fassan is a scholar working on Cancer Research, Oncology and Gastroenterology, having authored 522 papers that have together received 14.5k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (89 papers), Genetic factors in colorectal cancer (81 papers), Colorectal Cancer Treatments and Studies (65 papers), Cancer Genomics and Diagnostics (63 papers), Esophageal Cancer Research and Treatment (60 papers), MicroRNA in disease regulation (58 papers), Pancreatic and Hepatic Oncology Research (55 papers) and Helicobacter pylori-related gastroenterology studies (48 papers). The work is most often cited by research in Cancer Research (4.8k citations), Oncology (4.7k citations) and Gastroenterology (877 citations). Matteo Fassan has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Massimo Rugge, Carlo M. Croce, Aldo Scarpa, Raffaele Baffa, Marco Pizzi, Rocco Cappellesso, Gianmaria Pennelli, Vincenza Guzzardo, Leonard G. Gomella and Luca Mastracci. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Clinical Oncology, Cancers, Oncotarget and Digestive and Liver Disease.

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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