Massimo Moro
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in ⓘ
-
- MicroRNA in disease regulation 10
- Cancer Genomics and Diagnostics 7
- Oncology 18
- Cancer Cells and Metastasis 14
- Co-authors
- Gabriella Sozzi (31 shared papers)Ugo Pastorino (18 shared papers)Luca Roz (16 shared papers)Giulia Bertolini (15 shared papers)Orazio Fortunato (8 shared papers)Mattia Boeri (8 shared papers)Maristella Mastore (2 shared papers)Maurizio Francesco Brivio (2 shared papers)
- Journals
- Journal of Thoracic Oncology (4 papers)Cancer Research (3 papers)Clinical Cancer Research (2 papers)Pharmaceuticals (2 papers)Molecular Oncology (2 papers)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Massimo Moro
39 papers receiving 1000 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 396
- Oncology 386
- Molecular Biology 578
- Biotechnology 72
- Immunology 125
Countries citing papers authored by Massimo Moro
This map shows the geographic impact of Massimo Moro'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 Moro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Moro more than expected).
Fields of papers citing papers by Massimo Moro
This network shows the impact of papers produced by Massimo Moro. 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 Moro. The network helps show where Massimo Moro may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Moro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 93 | |
| 2 | 2018 | 80 | |
| 3 | 2015 | 79 | |
| 4 | 2012 | 69 | |
| 5 | 2014 | 68 | |
| 6 | 2018 | 60 | |
| 7 | 2010 | 57 | |
| 8 | 2019 | 46 | |
| 9 | 2014 | 45 | |
| 10 | 2017 | 39 | |
| 11 | 2004 | 38 | |
| 12 | 2017 | 34 | |
| 13 | 2015 | 34 | |
| 14 | 2020 | 32 | |
| 15 | 2005 | 32 | |
| 16 | 2009 | 31 | |
| 17 | 2021 | 26 | |
| 18 | 2021 | 22 | |
| 19 | 2022 | 19 | |
| 20 | 2021 | 16 |
About Massimo Moro
Massimo Moro is a scholar working on Cancer Research, Oncology, Biotechnology, Internal Medicine and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (14 papers), MicroRNA in disease regulation (10 papers), Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (7 papers), Genetic factors in colorectal cancer (5 papers), Cancer Research and Treatments (5 papers), RNA modifications and cancer (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Cancer Research (396 citations), Oncology (386 citations), Molecular Biology (578 citations), Biotechnology (72 citations) and Immunology (125 citations). Massimo Moro has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Gabriella Sozzi, Ugo Pastorino, Luca Roz, Giulia Bertolini, Orazio Fortunato, Mattia Boeri, Maristella Mastore, Maurizio Francesco Brivio, Massimo Milione and Francesca Andriani. Their work appears in journals such as Journal of Thoracic Oncology, Cancer Research, Clinical Cancer Research, Pharmaceuticals and Molecular Oncology.
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.