Davide Treré
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
Papers in
- Hepatology 11
- Co-authors
- Massimo DerenziniLorenzo MontanaroAnnalisa PessionClaudio CeccarelliMarianna PenzoValentina SirriMario TaffurelliDonatella Santini
- Journals
- The Journal of Pathology (7 papers)Molecular Pathology (5 papers)Oncotarget (4 papers)Journal of Histochemistry & Cytochemistry (4 papers)International Journal of Cancer (3 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Davide Treré
125 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 984
- Molecular Biology 3.3k
- Oncology 1.1k
- Hepatology 263
- Pathology and Forensic Medicine 246
Countries citing papers authored by Davide Treré
This map shows the geographic impact of Davide Treré'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 Davide Treré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Treré more than expected).
Fields of papers citing papers by Davide Treré
This network shows the impact of papers produced by Davide Treré. 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 Davide Treré. The network helps show where Davide Treré may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Treré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 3 | |
| 2 | 2017 | 95 | |
| 3 | 2015 | 124 | |
| 4 | 2014 | 20 | |
| 5 | 2013 | 48 | |
| 6 | 2012 | 11 | |
| 7 | 2010 | 87 | |
| 8 | 2009 | 73 | |
| 9 | 2008 | 3 | |
| 10 | 2007 | 9 | |
| 11 | 2004 | 45 | |
| 12 | 2002 | 21 | |
| 13 | 2002 | 87 | |
| 14 | 2000 | 6 | |
| 15 | 1996 | 0 | |
| 16 | The quantity of nucleolar proteins nucleolin and protein B23 is related to cell doubling time in human cancer cells. | 1995 | 145 |
| 17 | Nucleolar organizer regions in tumor cells | 1994 | 30 |
| 18 | 1992 | 88 | |
| 19 | 1992 | 3 | |
| 20 | 1989 | 136 |
About Davide Treré
Davide Treré is a scholar working on Cancer Research, Hepatology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 128 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (52 papers), Cancer-related Molecular Pathways (24 papers), RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (15 papers), Genomics and Chromatin Dynamics (12 papers), Cancer-related gene regulation (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Cancer Research (984 citations), Molecular Biology (3.3k citations), Oncology (1.1k citations), Hepatology (263 citations) and Pathology and Forensic Medicine (246 citations). Davide Treré has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Massimo Derenzini, Lorenzo Montanaro, Annalisa Pession, Claudio Ceccarelli, Marianna Penzo, Valentina Sirri, Mario Taffurelli, Donatella Santini, Robert Ochs and Elisa Brighenti. Their work appears in journals such as The Journal of Pathology, Molecular Pathology, Oncotarget, Journal of Histochemistry & Cytochemistry and International Journal of Cancer.
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.