Isabella Screpanti
- Molecular Biology top 0.5%
- Oncology top 1%
- Cancer Research top 0.5%
- Immunology top 1%
- Genetics top 2%
- Co-authors
- Alberto GulinoDiana BellaviaLuigi FratiLucia Di MarcotullioElisabetta FerrettiAntonio Francesco CampeseEnrico De SmaeleAlessandra Vacca
- Topics
- Hedgehog Signaling Pathway Studies (36 papers)Epigenetics and DNA Methylation (32 papers)Developmental Biology and Gene Regulation (23 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Isabella Screpanti
190 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 6.4k
- Oncology 2.1k
- Cancer Research 1.9k
- Immunology 1.8k
- Genetics 1.1k
Countries citing papers authored by Isabella Screpanti
This map shows the geographic impact of Isabella Screpanti'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 Isabella Screpanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabella Screpanti more than expected).
Fields of papers citing papers by Isabella Screpanti
This network shows the impact of papers produced by Isabella Screpanti. 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 Isabella Screpanti. The network helps show where Isabella Screpanti may publish in the future.
Co-authorship network of co-authors of Isabella Screpanti
This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Screpanti. A scholar is included among the top collaborators of Isabella Screpanti 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 Isabella Screpanti. Isabella Screpanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 23 | |
| 6 | 20 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 56 | |
| 10 | NOTCH3: A MORE PROMINENT PLAYER THAN NOTCH1 IN THE PATHOGENESIS OF T-ALL? | 1 |
| 11 | 117 | |
| 12 | 41 | |
| 13 | 72 | |
| 14 | 32 | |
| 15 | 57 | |
| 16 | 103 | |
| 17 | 159 | |
| 18 | 165 | |
| 19 | 6 | |
| 20 | 1 |
About Isabella Screpanti
Isabella Screpanti is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 191 papers that have together received 9.7k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (36 papers), Epigenetics and DNA Methylation (32 papers) and Developmental Biology and Gene Regulation (23 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (6.4k citations) and Immunology (1.8k citations). Isabella Screpanti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alberto Gulino, Diana Bellavia, Luigi Frati, Lucia Di Marcotullio, Elisabetta Ferretti, Antonio Francesco Campese, Enrico De Smaele, Alessandra Vacca, María Pía Felli and Saula Checquolo. 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.