Massimo Falchini

1.5k citations
40 papers · 1.2k · h-index 20

Impact in

Papers in

Massimo Falchini

39 papers receiving 1.2k citations

Peers

Massimo Falchini
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 451
  • Oncology 253
  • Computer Vision and Pattern Recognition 188
  • Artificial Intelligence 206
  • Radiology, Nuclear Medicine and Imaging 129
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Jianbo Gao China
Giulia Picozzi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Falchini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Falchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 2011105
3 2008104
4 200390
5 201578
6 201470
7 200656
8 201545
9 201944
10 201242
11
On-site evaluation of percutaneous CT-guided fine needle aspiration of pulmonary lesions. A study of 321 cases.
200541
12 201839
13 202232
14 200830
15
Gastric juice immunoreactive epidermal growth factor levels in patients with peptic ulcer disease.
199029
16 201327
17 200925
18 201724
19 202221
20 201220

About Massimo Falchini

Massimo Falchini is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cancer Research, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (12 papers), Colorectal Cancer Screening and Detection (10 papers), AI in cancer detection (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Radiology practices and education (2 papers), Radiation Dose and Imaging (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (451 citations), Oncology (253 citations), Computer Vision and Pattern Recognition (188 citations), Artificial Intelligence (206 citations) and Radiology, Nuclear Medicine and Imaging (129 citations). Massimo Falchini has collaborated with scholars based in Italy, Hungary and Germany. Frequent co-authors include Mario Mascalchi, Stefano Diciotti, Giulia Picozzi, Natale Villari, Guido Valli, Andrea Lopes Pegna, Alessandra Vella, Lapo Sali, Giuseppe Coppini and Marco Zappa. Their work appears in journals such as La radiologia medica, European Radiology, Digestive and Liver Disease, IEEE Transactions on Biomedical Engineering and Academic Radiology.

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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