Anto De Pol
Impact in
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Cell death mechanisms and regulation 4
- Genetics 12
- Mesenchymal stem cell research 11
- Co-authors
- Massimo Riccio (21 shared papers)Alessandra Pisciotta (24 shared papers)Gianluca Carnevale (24 shared papers)Tullia Maraldi (22 shared papers)Francesca Beretti (22 shared papers)Laura Marzona (16 shared papers)Adriano Ferrari (11 shared papers)Giovanni Battista La Sala (18 shared papers)
- Journals
- Life Sciences (4 papers)BioMed Research International (2 papers)International Journal of Oncology (2 papers)Cell Proliferation (2 papers)The Anatomical Record (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anto De Pol
89 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 136
- Genetics 550
- Urology 179
- Reproductive Medicine 143
- Molecular Biology 1.1k
- Cancer Research 201
Countries citing papers authored by Anto De Pol
This map shows the geographic impact of Anto De Pol'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 Anto De Pol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anto De Pol more than expected).
Fields of papers citing papers by Anto De Pol
This network shows the impact of papers produced by Anto De Pol. 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 Anto De Pol. The network helps show where Anto De Pol may publish in the future.
Co-authors
The 25 scholars most cited alongside Anto De Pol, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 1991 | 118 | |
| 3 | 2017 | 96 | |
| 4 | 1997 | 91 | |
| 5 | 2012 | 91 | |
| 6 | 2000 | 91 | |
| 7 | 2011 | 87 | |
| 8 | 2008 | 82 | |
| 9 | 2003 | 79 | |
| 10 | 2013 | 78 | |
| 11 | 2003 | 72 | |
| 12 | 2013 | 70 | |
| 13 | 2011 | 68 | |
| 14 | 2010 | 64 | |
| 15 | Microsatellite instability and mismatch-repair protein expression in hereditary and sporadic colorectal carcinogenesis. | 2001 | 62 |
| 16 | 2016 | 61 | |
| 17 | 2014 | 57 | |
| 18 | 2015 | 55 | |
| 19 | 2009 | 54 | |
| 20 | 2015 | 53 |
About Anto De Pol
Anto De Pol is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Immunology, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Reproductive Biology and Fertility (8 papers), Bone Tissue Engineering Materials (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Nerve injury and regeneration (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cell death mechanisms and regulation (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Genetics (550 citations), Urology (179 citations), Reproductive Medicine (143 citations), Molecular Biology (1.1k citations) and Cancer Research (201 citations). Anto De Pol has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Massimo Riccio, Alessandra Pisciotta, Gianluca Carnevale, Tullia Maraldi, Francesca Beretti, Laura Marzona, Adriano Ferrari, Giovanni Battista La Sala, Giacomo Bruzzesi and Laura Bertoni. Their work appears in journals such as Life Sciences, BioMed Research International, International Journal of Oncology, Cell Proliferation and The Anatomical Record.
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.