Massimo Barberis

7.4k citations
204 papers · 4.2k · h-index 38

Impact in

  • Oncology top 1%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

Massimo Barberis

194 papers receiving 4.1k citations

Peers

Massimo Barberis
Comparison fields: 5 of 133
  • Oncology 1.9k
  • Cancer Research 884
  • Pulmonary and Respiratory Medicine 1.5k
  • Neurology 604
  • Epidemiology 727
Replace Jan F. Silverman with:
Jan F. Silverman United States
Benoît Terris France
L. Füzesi Germany
Thomas Knösel Germany
Marie‐Louise F. van Velthuysen Netherlands
Yoshiki Mikami Japan
Melissa P. Upton United States
Andrew Kramar France
Marie Christine Aubry United States
Jianrong Wu United States
Massimo Barberis relative to Jan F. Silverman United States Jan F. Silverman's profile →
Citations per field
00.5×3.3×
Jan F. Silverman · 1×
Citations per year

Countries citing papers authored by Massimo Barberis

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Barberis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015208
2 2016168
3 1997137
4 2010125
5 2021113
6 2011106
7 200991
8 201384
9 201778
10 199777
11 200971
12 200869
13 201564
14 201462
15 201260
16 201659
17 201759
18 201159
19 200856
20 201756

About Massimo Barberis

Massimo Barberis is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Epidemiology, having authored 204 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (51 papers), Cancer Genomics and Diagnostics (48 papers), Lung Cancer Research Studies (25 papers), Cancer Immunotherapy and Biomarkers (24 papers), Neuroendocrine Tumor Research Advances (16 papers), Lung Cancer Diagnosis and Treatment (15 papers), Neuroblastoma Research and Treatments (13 papers) and Genetic factors in colorectal cancer (11 papers). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (884 citations), Pulmonary and Respiratory Medicine (1.5k citations), Neurology (604 citations) and Epidemiology (727 citations). Massimo Barberis has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Caterina Fumagalli, Lorenzo Spaggiari, Filippo de Marinis, Elena Guerini‐Rocco, Gianluca Spitaleri, Giuseppe Viale, Maria Cannone, Chiara Catania, Davide Vacirca and Francesca Toffalorio. Their work appears in journals such as Journal of Thoracic Oncology, Cancers, Journal of Clinical Oncology, Journal of Clinical Pathology and The Oncologist.

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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