Matteo Pallocca
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- PI3K/AKT/mTOR signaling in cancer
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Genomics and Phylogenetic Studies 3
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- Cancer Genomics and Diagnostics 6
- MicroRNA in disease regulation 4
- Co-authors
- Maurizio Fanciulli (15 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)Michèle Milella (2 shared papers)Tiziana Castrignanò (4 shared papers)
- Journals
- Journal of Translational Medicine (4 papers)Cell Death and Disease (3 papers)Journal of Experimental & Clinical Cancer Research (3 papers)Oncotarget (2 papers)Journal of Biomedical Informatics (2 papers)
- Partner nations
- ItalyMalaysiaUnited States
In The Last Decade
Matteo Pallocca
33 papers receiving 842 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 277
- Molecular Biology 562
- Oncology 203
- Immunology 146
- Hepatology 33
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 2020 | 110 | |
| 3 | 2017 | 80 | |
| 4 | 2018 | 73 | |
| 5 | 2018 | 66 | |
| 6 | 2015 | 58 | |
| 7 | 2016 | 50 | |
| 8 | 2013 | 41 | |
| 9 | 2019 | 31 | |
| 10 | 2014 | 31 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2018 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 7 |
About Matteo Pallocca
Matteo Pallocca is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 36 papers that have together received 852 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (4 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (562 citations), Oncology (203 citations), Immunology (146 citations) and Hepatology (33 citations). Matteo Pallocca has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Maurizio Fanciulli, Gennaro Ciliberto, Fabio Palombo, Luigi Aurisicchio, Giovanni Blandino, Frauke Goeman, Michèle Milella, Tiziana Castrignanò, Sabrina Strano and Graziano Pesole. Their work appears in journals such as Journal of Translational Medicine, Cell Death and Disease, Journal of Experimental & Clinical Cancer Research, Oncotarget and Journal of Biomedical Informatics.
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.