Roberto J. Pezza
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Photosynthetic Processes and Mechanisms
- DNA and Nucleic Acid Chemistry
- Aging top 10%
Papers in
-
- DNA Repair Mechanisms 27
- Genomics and Chromatin Dynamics 11
- DNA and Nucleic Acid Chemistry 5
- CRISPR and Genetic Engineering 5
- Mitochondrial Function and Pathology 4
- Genetics 8
- Bacterial Genetics and Biotechnology 5
- Co-authors
- R. Daniel Camerini‐Otero (10 shared papers)Filip Vanevski (2 shared papers)Michel F. Guiraldelli (6 shared papers)Oleg N. Voloshin (4 shared papers)Christopher L. Sansam (1 shared paper)Michael E. Dresser (4 shared papers)Dean Dawson (4 shared papers)Craig Eyster (6 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)PLoS Genetics (3 papers)Nucleic Acids Research (3 papers)Biochemical Journal (2 papers)Chromosoma (2 papers)
- Partner nations
- United StatesArgentinaRussia
In The Last Decade
Roberto J. Pezza
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 1.1k
- Aging 25
- Cell Biology 195
- Genetics 244
- Reproductive Medicine 70
Countries citing papers authored by Roberto J. Pezza
This map shows the geographic impact of Roberto J. Pezza'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 Roberto J. Pezza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto J. Pezza more than expected).
Fields of papers citing papers by Roberto J. Pezza
This network shows the impact of papers produced by Roberto J. Pezza. 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 Roberto J. Pezza. The network helps show where Roberto J. Pezza may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto J. Pezza, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 141 | |
| 2 | 2017 | 135 | |
| 3 | 2012 | 103 | |
| 4 | 2007 | 99 | |
| 5 | 2015 | 83 | |
| 6 | 2013 | 81 | |
| 7 | 2015 | 64 | |
| 8 | 2006 | 63 | |
| 9 | 2002 | 60 | |
| 10 | 2007 | 59 | |
| 11 | 2014 | 45 | |
| 12 | 2013 | 44 | |
| 13 | 2010 | 44 | |
| 14 | 2004 | 41 | |
| 15 | 2018 | 41 | |
| 16 | 2013 | 40 | |
| 17 | 2013 | 33 | |
| 18 | 2017 | 26 | |
| 19 | 2010 | 22 | |
| 20 | 2002 | 20 |
About Roberto J. Pezza
Roberto J. Pezza is a scholar working on Molecular Biology, Genetics, Cell Biology, Plant Science and Cancer Research, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (27 papers), Genomics and Chromatin Dynamics (11 papers), Microtubule and mitosis dynamics (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Aging (25 citations), Cell Biology (195 citations), Genetics (244 citations) and Reproductive Medicine (70 citations). Roberto J. Pezza has collaborated with scholars based in United States, Argentina and Russia. Frequent co-authors include R. Daniel Camerini‐Otero, Filip Vanevski, Michel F. Guiraldelli, Oleg N. Voloshin, Christopher L. Sansam, Michael E. Dresser, Dean Dawson, Craig Eyster, Jean‐Yves Masson and Mickaël J. Ploquin. Their work appears in journals such as Journal of Biological Chemistry, PLoS Genetics, Nucleic Acids Research, Biochemical Journal and Chromosoma.
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.