Marcello Maresca
Impact in
- Aging top 2%
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 23
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 7
- RNA and protein synthesis mechanisms 6
- RNA regulation and disease 5
- Pluripotent Stem Cells Research 4
- Co-authors
- Ning Guo (1 shared paper)Yi Yang (1 shared paper)Jun Fu (6 shared papers)Axel Erler (4 shared papers)Michelle J. Porritt (5 shared papers)Pınar Akçakaya (5 shared papers)Aengus Stewart (2 shared papers)Charles D. Yeh (1 shared paper)
- Journals
- Nature Communications (4 papers)Science (2 papers)Nucleic Acids Research (2 papers)BMC Biology (2 papers)Cells (2 papers)
- Partner nations
- SwedenGermanyUnited Kingdom
In The Last Decade
Marcello Maresca
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Aging 101
- Business and International Management 107
- Molecular Biology 1.5k
- Genetics 474
- Biological Psychiatry 17
Countries citing papers authored by Marcello Maresca
This map shows the geographic impact of Marcello Maresca'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 Marcello Maresca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Maresca more than expected).
Fields of papers citing papers by Marcello Maresca
This network shows the impact of papers produced by Marcello Maresca. 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 Marcello Maresca. The network helps show where Marcello Maresca may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcello Maresca, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 304 | |
| 2 | 2012 | 256 | |
| 3 | 2018 | 171 | |
| 4 | 2007 | 145 | |
| 5 | 2010 | 99 | |
| 6 | 2018 | 70 | |
| 7 | 2019 | 66 | |
| 8 | 2018 | 63 | |
| 9 | 2018 | 59 | |
| 10 | 2009 | 57 | |
| 11 | 2011 | 44 | |
| 12 | 2018 | 43 | |
| 13 | 2020 | 40 | |
| 14 | 2018 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 37 | |
| 17 | 2022 | 34 | |
| 18 | 2006 | 27 | |
| 19 | 2011 | 27 | |
| 20 | 2010 | 27 |
About Marcello Maresca
Marcello Maresca is a scholar working on Molecular Biology, Physiology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (23 papers), RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), RNA and protein synthesis mechanisms (6 papers), RNA regulation and disease (5 papers), Pluripotent Stem Cells Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Aging (101 citations), Business and International Management (107 citations), Molecular Biology (1.5k citations), Genetics (474 citations) and Biological Psychiatry (17 citations). Marcello Maresca has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Ning Guo, Yi Yang, Jun Fu, Axel Erler, Michelle J. Porritt, Pınar Akçakaya, Aengus Stewart, Charles D. Yeh, Luke M. Judge and Hannah L. Watry. Their work appears in journals such as Nature Communications, Science, Nucleic Acids Research, BMC Biology and Cells.
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.