Jacopo Sabbatinelli
- Molecular Biology top 10%
- Physiology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Epidemiology
- Co-authors
- Olivieri FabiolaAngelica GiulianiFrancesco PrattichizzoGiulia MatacchioneMaria Rita RippoMassimiliano BonafèAntonio Domenico ProcopioAnna Rita Bonfigli
- Topics
- MicroRNA in disease regulation (9 papers)Telomeres, Telomerase, and Senescence (8 papers)COVID-19 Clinical Research Studies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalySpainUnited States
In The Last Decade
Jacopo Sabbatinelli
77 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 748
- Physiology 400
- Cancer Research 352
- Immunology 271
- Epidemiology 219
Countries citing papers authored by Jacopo Sabbatinelli
This map shows the geographic impact of Jacopo Sabbatinelli'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 Jacopo Sabbatinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacopo Sabbatinelli more than expected).
Fields of papers citing papers by Jacopo Sabbatinelli
This network shows the impact of papers produced by Jacopo Sabbatinelli. 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 Jacopo Sabbatinelli. The network helps show where Jacopo Sabbatinelli may publish in the future.
Co-authorship network of co-authors of Jacopo Sabbatinelli
This figure shows the co-authorship network connecting the top 25 collaborators of Jacopo Sabbatinelli. A scholar is included among the top collaborators of Jacopo Sabbatinelli 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 Jacopo Sabbatinelli. Jacopo Sabbatinelli 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 10 | |
| 17 | 31 | |
| 18 | 20 | |
| 19 | 52 | |
| 20 | 57 |
About Jacopo Sabbatinelli
Jacopo Sabbatinelli is a scholar working on Biochemistry, Sensory Systems and Geriatrics and Gerontology, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Telomeres, Telomerase, and Senescence (8 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Cancer Research (352 citations), Aging (35 citations) and Biological Psychiatry (47 citations). Jacopo Sabbatinelli has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Olivieri Fabiola, Angelica Giuliani, Francesco Prattichizzo, Giulia Matacchione, Maria Rita Rippo, Massimiliano Bonafè, Antonio Domenico Procopio, Anna Rita Bonfigli, Deborah Ramini and Gianluca Storci. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.