Cosimo Pinto
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
-
- Carcinogens and Genotoxicity Assessment
Papers in
-
- DNA Repair Mechanisms 7
- CRISPR and Genetic Engineering 5
- DNA and Nucleic Acid Chemistry 4
- Protein purification and stability 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Oncology 4
- PARP inhibition in cancer therapy 3
- Co-authors
- Petr Ćejka (8 shared papers)Maryna Levikova (4 shared papers)Ralf Seidel (3 shared papers)Kamila Burdová (1 shared paper)Radhakrishnan Kanagaraj (1 shared paper)Pavel Janščák (1 shared paper)Roopesh Anand (3 shared papers)Alessandro Vindigni (1 shared paper)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)The Journal of Cell Biology (1 paper)European Journal of Pharmaceutics and Biopharmaceutics (1 paper)Genes & Development (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Cosimo Pinto
10 papers receiving 701 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 690
- Cancer Research 130
- Oncology 198
- Cell Biology 66
- Aging 6
Countries citing papers authored by Cosimo Pinto
This map shows the geographic impact of Cosimo Pinto'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 Cosimo Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cosimo Pinto more than expected).
Fields of papers citing papers by Cosimo Pinto
This network shows the impact of papers produced by Cosimo Pinto. 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 Cosimo Pinto. The network helps show where Cosimo Pinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Cosimo Pinto, 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 | 2015 | 285 | |
| 2 | 2014 | 175 | |
| 3 | 2016 | 62 | |
| 4 | 2020 | 60 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 28 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 16 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 0 |
About Cosimo Pinto
Cosimo Pinto is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmaceutical Science and Ecology, having authored 11 papers that have together received 707 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Protein purification and stability (3 papers), PARP inhibition in cancer therapy (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Mineral Processing and Grinding (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Molecular Biology (690 citations), Cancer Research (130 citations), Oncology (198 citations), Cell Biology (66 citations) and Aging (6 citations). Cosimo Pinto has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Petr Ćejka, Maryna Levikova, Ralf Seidel, Kamila Burdová, Radhakrishnan Kanagaraj, Pavel Janščák, Roopesh Anand, Alessandro Vindigni, Massimo Lopes and Sheila A. Stewart. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Methods in enzymology on CD-ROM/Methods in enzymology, The Journal of Cell Biology, European Journal of Pharmaceutics and Biopharmaceutics and Genes & Development.
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.