Berta Pozzi
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
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- Viral Infections and Vectors
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 2
- Biochemical and Molecular Research 2
- PI3K/AKT/mTOR signaling in cancer 2
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- interferon and immune responses 3
- Co-authors
- Anabella Srebrow (10 shared papers)Guillermo Risso (6 shared papers)Pablo Mammi (7 shared papers)Matı́as Blaustein (2 shared papers)Federico Pelisch (3 shared papers)Andrea V. Gamarnik (2 shared papers)Néstor Gabriel Iglesias (2 shared papers)Leopoldo G. Gebhard (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)The Journal of Cell Biology (1 paper)RNA Biology (1 paper)Biochemical Journal (1 paper)Cell Cycle (1 paper)
- Partner nations
- ArgentinaUnited StatesCuba
In The Last Decade
Berta Pozzi
13 papers receiving 574 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 357
- Infectious Diseases 87
- Cancer Research 67
- Public Health, Environmental and Occupational Health 102
- Virology 17
Countries citing papers authored by Berta Pozzi
This map shows the geographic impact of Berta Pozzi'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 Berta Pozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berta Pozzi more than expected).
Fields of papers citing papers by Berta Pozzi
This network shows the impact of papers produced by Berta Pozzi. 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 Berta Pozzi. The network helps show where Berta Pozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Berta Pozzi, 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 | 2016 | 153 | |
| 2 | 2015 | 150 | |
| 3 | 2012 | 64 | |
| 4 | 2020 | 53 | |
| 5 | 2013 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2012 | 28 | |
| 8 | 2018 | 19 | |
| 9 | 2016 | 13 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 4 |
About Berta Pozzi
Berta Pozzi is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 578 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (4 papers), interferon and immune responses (3 papers), Mosquito-borne diseases and control (2 papers), Cancer-related gene regulation (2 papers), Biochemical and Molecular Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Molecular Biology (357 citations), Infectious Diseases (87 citations), Cancer Research (67 citations), Public Health, Environmental and Occupational Health (102 citations) and Virology (17 citations). Berta Pozzi has collaborated with scholars based in Argentina, United States and Cuba. Frequent co-authors include Anabella Srebrow, Guillermo Risso, Pablo Mammi, Matı́as Blaustein, Federico Pelisch, Andrea V. Gamarnik, Néstor Gabriel Iglesias, Leopoldo G. Gebhard, Manuel J. Muñoz and Federico A. De Maio. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology, RNA Biology, Biochemical Journal and Cell Cycle.
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.