Elisabetta Mattioli
- Molecular Biology top 5%
- Cell Biology top 5%
- Physiology
- Cardiology and Cardiovascular Medicine
- Immunology and Allergy top 5%
- Co-authors
- Giovanna LattanziCristina CapanniMarta ColumbaroStefano SquarzoniNadir M. MaraldiVittoria CenniPatrizia SabatelliLuciano Merlini
- Topics
- Nuclear Structure and Function (42 papers)RNA Research and Splicing (29 papers)Genomics and Chromatin Dynamics (14 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Elisabetta Mattioli
50 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.8k
- Cell Biology 333
- Physiology 181
- Cardiology and Cardiovascular Medicine 122
- Immunology and Allergy 92
Countries citing papers authored by Elisabetta Mattioli
This map shows the geographic impact of Elisabetta Mattioli'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 Elisabetta Mattioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Mattioli more than expected).
Fields of papers citing papers by Elisabetta Mattioli
This network shows the impact of papers produced by Elisabetta Mattioli. 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 Elisabetta Mattioli. The network helps show where Elisabetta Mattioli may publish in the future.
Co-authorship network of co-authors of Elisabetta Mattioli
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Mattioli. A scholar is included among the top collaborators of Elisabetta Mattioli 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 Elisabetta Mattioli. Elisabetta Mattioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 31 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 90 | |
| 8 | 56 | |
| 9 | 21 | |
| 10 | 27 | |
| 11 | 71 | |
| 12 | 4 | |
| 13 | 156 | |
| 14 | 39 | |
| 15 | 62 | |
| 16 | 7 | |
| 17 | 131 | |
| 18 | 104 | |
| 19 | 34 | |
| 20 | 104 |
About Elisabetta Mattioli
Elisabetta Mattioli is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nuclear Structure and Function (42 papers), RNA Research and Splicing (29 papers) and Genomics and Chromatin Dynamics (14 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (333 citations) and Aging (29 citations). Elisabetta Mattioli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giovanna Lattanzi, Cristina Capanni, Marta Columbaro, Stefano Squarzoni, Nadir M. Maraldi, Vittoria Cenni, Patrizia Sabatelli, Luciano Merlini, Giuseppe Novelli and Manfred Wehnert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.