Eva Pinatel
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 4
- Circular RNAs in diseases 3
- Extracellular vesicles in disease 2
- Surgery 7
- Helicobacter pylori-related gastroenterology studies 6
- Co-authors
- Akiko Eguchi (2 shared papers)Davide Povero (2 shared papers)Ariel E. Feldstein (2 shared papers)Daniela Taverna (4 shared papers)Paolo Provero (4 shared papers)Clelia Peano (11 shared papers)Daniela Cimino (3 shared papers)Elisa Penna (3 shared papers)
- Journals
- Scientific Reports (3 papers)Frontiers in Microbiology (2 papers)Oncotarget (2 papers)iScience (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Eva Pinatel
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 435
- Hepatology 81
- Molecular Biology 657
- Hematology 54
- Epidemiology 154
Countries citing papers authored by Eva Pinatel
This map shows the geographic impact of Eva Pinatel'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 Eva Pinatel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Pinatel more than expected).
Fields of papers citing papers by Eva Pinatel
This network shows the impact of papers produced by Eva Pinatel. 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 Eva Pinatel. The network helps show where Eva Pinatel may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Pinatel, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 214 | |
| 2 | 2015 | 192 | |
| 3 | 2012 | 121 | |
| 4 | 2019 | 93 | |
| 5 | 2014 | 56 | |
| 6 | 2015 | 44 | |
| 7 | 2017 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2015 | 34 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 25 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2017 | 11 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Eva Pinatel
Eva Pinatel is a scholar working on Molecular Biology, Surgery, Cancer Research, Genetics and Infectious Diseases, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (6 papers), RNA and protein synthesis mechanisms (6 papers), MicroRNA in disease regulation (6 papers), Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Extracellular vesicles in disease (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (435 citations), Hepatology (81 citations), Molecular Biology (657 citations), Hematology (54 citations) and Epidemiology (154 citations). Eva Pinatel has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Akiko Eguchi, Davide Povero, Ariel E. Feldstein, Daniela Taverna, Paolo Provero, Clelia Peano, Daniela Cimino, Elisa Penna, Francesca Orso and Cristiano De Pittà. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, Oncotarget, iScience and The FASEB Journal.
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.