Matteo Pallocca
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 5
- Oncology 13
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Maurizio Fanciulli (16 shared papers)Gennaro Ciliberto (16 shared papers)Fabio Palombo (4 shared papers)Luigi Aurisicchio (3 shared papers)Giovanni Blandino (9 shared papers)Frauke Goeman (10 shared papers)Graziano Pesole (5 shared papers)Michèle Milella (2 shared papers)
In The Last Decade
Matteo Pallocca
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 426
- Oncology 527
- Molecular Biology 920
- Immunology 237
- Pulmonary and Respiratory Medicine 272
Countries citing papers authored by Matteo Pallocca
This map shows the geographic impact of Matteo Pallocca'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 Pallocca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Pallocca more than expected).
Fields of papers citing papers by Matteo Pallocca
This network shows the impact of papers produced by Matteo Pallocca. 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 Pallocca. The network helps show where Matteo Pallocca may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Pallocca, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 185 | |
| 2 | 2019 | 139 | |
| 3 | 2019 | 119 | |
| 4 | 2020 | 114 | |
| 5 | 2022 | 90 | |
| 6 | 2017 | 88 | |
| 7 | 2018 | 80 | |
| 8 | 2017 | 77 | |
| 9 | 2019 | 75 | |
| 10 | 2018 | 71 | |
| 11 | 2015 | 65 | |
| 12 | 2016 | 51 | |
| 13 | 2020 | 48 | |
| 14 | 2013 | 42 | |
| 15 | 2019 | 39 | |
| 16 | 2014 | 32 | |
| 17 | 2023 | 32 | |
| 18 | 2022 | 31 | |
| 19 | 2015 | 31 | |
| 20 | 2017 | 28 |
About Matteo Pallocca
Matteo Pallocca is a scholar working on Cancer Research, Oncology, Molecular Biology, Hematology and Cell Biology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Genomics and Rare Diseases (3 papers), Multiple Myeloma Research and Treatments (3 papers), RNA modifications and cancer (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cancer Research (426 citations), Oncology (527 citations), Molecular Biology (920 citations), Immunology (237 citations) and Pulmonary and Respiratory Medicine (272 citations). Matteo Pallocca has collaborated with scholars based in Italy, Malaysia and Canada. Frequent co-authors include Maurizio Fanciulli, Gennaro Ciliberto, Fabio Palombo, Luigi Aurisicchio, Giovanni Blandino, Frauke Goeman, Graziano Pesole, Michèle Milella, Francesca De Nicola and Sabrina Strano. Their work appears in journals such as Journal of Translational Medicine, Cell Death and Disease, Journal of Experimental & Clinical Cancer Research, European Journal of Cancer and Cell Death and Differentiation.
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.