Paolo Martini
- Genetics top 2%
- Estrogen and related hormone effects 15
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Toxicology top 5%
- Molecular Biology top 5%
- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 7
- Genomics and Chromatin Dynamics 5
- Retinoids in leukemia and cellular processes 4
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Benita S. KatzenellenbogenRégis Delage-MourrouxMonica M. MontanoJohn A. KatzenellenbogenChiara RomualdiKirk EkenaInho ChoiDennis M. Kraichely
- Cited by
- GeneticsCancer ResearchToxicology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (5 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Paolo Martini
59 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 129
- Genetics 937
- Cancer Research 295
- Toxicology 64
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 257
Countries citing papers authored by Paolo Martini
This map shows the geographic impact of Paolo Martini'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 Paolo Martini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Martini more than expected).
Fields of papers citing papers by Paolo Martini
This network shows the impact of papers produced by Paolo Martini. 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 Paolo Martini. The network helps show where Paolo Martini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Martini, 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 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 62 | |
| 10 | 2016 | 14 | |
| 11 | 2014 | 73 | |
| 12 | 2013 | 33 | |
| 13 | 2007 | 146 | |
| 14 | 2006 | 60 | |
| 15 | 2005 | 113 | |
| 16 | 2005 | 52 | |
| 17 | Two dimensional modelling of flood flows and suspended sediment transport: the case of Brenta River | 2003 | 3 |
| 18 | 2003 | 54 | |
| 19 | 2000 | 85 | |
| 20 | 2000 | 114 |
About Paolo Martini
Paolo Martini is a scholar working on Cancer Research, Biological Psychiatry and Genetics, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (15 papers), Gene expression and cancer classification (12 papers), Cancer-related molecular mechanisms research (7 papers), Bioinformatics and Genomic Networks (7 papers), MicroRNA in disease regulation (5 papers), Genomics and Chromatin Dynamics (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Genetics (937 citations), Cancer Research (295 citations) and Toxicology (64 citations). Paolo Martini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Benita S. Katzenellenbogen, Régis Delage-Mourroux, Monica M. Montano, John A. Katzenellenbogen, Chiara Romualdi, Kirk Ekena, Inho Choi, Dennis M. Kraichely, Tracy Ediger and Gabriele Sales. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.