Alessandro Cuomo
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 15
- Cancer-related gene regulation 8
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 5
- Cancer Research top 10%
- Cell Biology top 5%
- Microtubule and mitosis dynamics 4
- Oncology top 10%
- Immunology top 10%
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- Advanced Proteomics Techniques and Applications 7
- Co-authors
- Tiziana BonaldiDiego PasiniSriganesh JammulaAndrea ScelfoIros BarozziWolfgang FischleKarin Johanna FerrariAlexandra Stützer
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Alessandro Cuomo
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.8k
- Cancer Research 250
- Cell Biology 256
- Oncology 350
- Immunology 252
Countries citing papers authored by Alessandro Cuomo
This map shows the geographic impact of Alessandro Cuomo'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 Alessandro Cuomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Cuomo more than expected).
Fields of papers citing papers by Alessandro Cuomo
This network shows the impact of papers produced by Alessandro Cuomo. 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 Alessandro Cuomo. The network helps show where Alessandro Cuomo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alessandro Cuomo, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 40 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 23 | |
| 11 | 2020 | 32 | |
| 12 | 2018 | 61 | |
| 13 | 2017 | 103 | |
| 14 | 2014 | 73 | |
| 15 | 2014 | 5 | |
| 16 | 2013 | 126 | |
| 17 | 2013 | 135 | |
| 18 | 2013 | 355 | |
| 19 | 2013 | 55 | |
| 20 | 2010 | 53 |
About Alessandro Cuomo
Alessandro Cuomo is a scholar working on Molecular Biology, Cell Biology and Spectroscopy, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (15 papers), Cancer-related gene regulation (8 papers), Advanced Proteomics Techniques and Applications (7 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (6 papers), RNA Research and Splicing (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (250 citations) and Cell Biology (256 citations). Alessandro Cuomo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Tiziana Bonaldi, Diego Pasini, Sriganesh Jammula, Andrea Scelfo, Iros Barozzi, Wolfgang Fischle, Karin Johanna Ferrari, Alexandra Stützer, Alexia Conte and Sara Sigismund. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.