Paolo Catasti
- Molecular Biology top 10%
- Genetics
- Cellular and Molecular Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Co-authors
- E. Morton BradburyS. V. Santhana MariappanGoutam GuptaRobert K. MoyzisXian ChenRobert L. RatliffJ D FontenotGagan D. Gupta
- Topics
- RNA and protein synthesis mechanisms (6 papers)Protein Structure and Dynamics (5 papers)DNA and Nucleic Acid Chemistry (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesItalyPoland
In The Last Decade
Paolo Catasti
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 826
- Genetics 177
- Cellular and Molecular Neuroscience 145
- Atomic and Molecular Physics, and Optics 139
- Artificial Intelligence 125
Countries citing papers authored by Paolo Catasti
This map shows the geographic impact of Paolo Catasti'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 Catasti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Catasti more than expected).
Fields of papers citing papers by Paolo Catasti
This network shows the impact of papers produced by Paolo Catasti. 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 Catasti. The network helps show where Paolo Catasti may publish in the future.
Co-authorship network of co-authors of Paolo Catasti
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Catasti. A scholar is included among the top collaborators of Paolo Catasti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paolo Catasti. Paolo Catasti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 71 | |
| 3 | 66 | |
| 4 | 76 | |
| 5 | NMR GHZ | 49 |
| 6 | 73 | |
| 7 | 128 | |
| 8 | 60 | |
| 9 | 58 | |
| 10 | 79 | |
| 11 | 74 | |
| 12 | 196 | |
| 13 | 47 | |
| 14 | 2 | |
| 15 | 75 | |
| 16 | Stem-loop structures of the repetitive DNA sequences located at human centromeres | 1 |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 16 |
About Paolo Catasti
Paolo Catasti is a scholar working on Virology, Molecular Biology and Biochemistry, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Virology (122 citations), Molecular Biology (826 citations) and Cellular and Molecular Neuroscience (145 citations). Paolo Catasti has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include E. Morton Bradbury, S. V. Santhana Mariappan, Goutam Gupta, Robert K. Moyzis, Xian Chen, Robert L. Ratliff, E. Morton Bradbury, J D Fontenot, Gagan D. Gupta and Raymond Laflamme. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.