Paolo Mita
Impact in
- Aging top 10%
- Plant Science top 5%
- Chromosomal and Genetic Variations
Papers in
-
- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 6
- Advanced biosensing and bioanalysis techniques 5
- Heat shock proteins research 4
- Ubiquitin and proteasome pathways 3
-
- Chromosomal and Genetic Variations 13
- Co-authors
- Jef D. Boeke (17 shared papers)David Fenyö (10 shared papers)John LaCava (5 shared papers)Kathleen H. Burns (5 shared papers)Susan K. Logan (9 shared papers)Wilson McKerrow (3 shared papers)Susan Ha (8 shared papers)Martin S. Taylor (4 shared papers)
- Journals
- Mobile DNA (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)eLife (2 papers)Biological Procedures Online (2 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
Paolo Mita
27 papers receiving 1.4k citations
Paolo Mita's Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 34
- Plant Science 661
- Molecular Biology 994
- Cancer Research 104
- Biophysics 43
Countries citing papers authored by Paolo Mita
This map shows the geographic impact of Paolo Mita'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 Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Mita more than expected).
Fields of papers citing papers by Paolo Mita
This network shows the impact of papers produced by Paolo Mita. 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 Mita. The network helps show where Paolo Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Paolo Mita, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of retrotransposable elements in ageing and age-associated diseases Hit paper breakdown → | 2021 | 256 |
| 2 | 2013 | 168 | |
| 3 | 2016 | 126 | |
| 4 | 2015 | 103 | |
| 5 | 2018 | 93 | |
| 6 | 2020 | 72 | |
| 7 | 2018 | 66 | |
| 8 | 2012 | 59 | |
| 9 | 2018 | 54 | |
| 10 | 2013 | 53 | |
| 11 | 2022 | 50 | |
| 12 | 2011 | 33 | |
| 13 | 2013 | 30 | |
| 14 | 2005 | 30 | |
| 15 | 2016 | 24 | |
| 16 | 2009 | 23 | |
| 17 | 2018 | 22 | |
| 18 | 2006 | 22 | |
| 19 | 2021 | 19 | |
| 20 | 2019 | 18 |
About Paolo Mita
Paolo Mita is a scholar working on Molecular Biology, Plant Science, Pulmonary and Respiratory Medicine, Immunology and Cell Biology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Heat shock proteins research (4 papers), Ubiquitin and proteasome pathways (3 papers), Prostate Cancer Treatment and Research (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (34 citations), Plant Science (661 citations), Molecular Biology (994 citations), Cancer Research (104 citations) and Biophysics (43 citations). Paolo Mita has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Jef D. Boeke, David Fenyö, John LaCava, Kathleen H. Burns, Susan K. Logan, Wilson McKerrow, Susan Ha, Martin S. Taylor, David J. Kahler and Xiaoji Sun. Their work appears in journals such as Mobile DNA, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, eLife and Biological Procedures Online.
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.