Sabrina Chiesa
- Immunology top 5%
- Molecular Biology
- Genetics top 5%
- Hematology top 5%
- Oncology
- Co-authors
- Marco GattornoElisabetta TraggiaiVito PistoiaAntonio UccelliAlberto MartiniIgnazia PrigioneFabio MorandiCecilia Marini
- Topics
- Immune Cell Function and Interaction (9 papers)Inflammasome and immune disorders (8 papers)Autoimmune and Inflammatory Disorders Research (5 papers)
- Cited by
- ImmunologyGeneticsHematology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Sabrina Chiesa
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Immunology 607
- Molecular Biology 407
- Genetics 228
- Hematology 155
- Oncology 148
Countries citing papers authored by Sabrina Chiesa
This map shows the geographic impact of Sabrina Chiesa'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 Sabrina Chiesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Chiesa more than expected).
Fields of papers citing papers by Sabrina Chiesa
This network shows the impact of papers produced by Sabrina Chiesa. 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 Sabrina Chiesa. The network helps show where Sabrina Chiesa may publish in the future.
Co-authorship network of co-authors of Sabrina Chiesa
This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Chiesa. A scholar is included among the top collaborators of Sabrina Chiesa 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 Sabrina Chiesa. Sabrina Chiesa 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 | 14 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 23 | |
| 7 | 111 | |
| 8 | 59 | |
| 9 | 1 | |
| 10 | 101 | |
| 11 | 141 | |
| 12 | 33 | |
| 13 | 36 | |
| 14 | 47 | |
| 15 | 23 | |
| 16 | 45 | |
| 17 | 8 | |
| 18 | Levels of soluble CD27 in sera and synovial fluid and its expression on memory T cells in patients with juvenile idiopathic arthritides. | 14 |
| 19 | A novel case of immunodeficiency, centromeric instability, and facial anomalies (the ICF syndrome): immunologic and cytogenetic studies. | 9 |
| 20 | 9 |
About Sabrina Chiesa
Sabrina Chiesa is a scholar working on Immunology, Physiology and Hematology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Inflammasome and immune disorders (8 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). The work is most often cited by research in Immunology (607 citations), Genetics (228 citations) and Hematology (155 citations). Sabrina Chiesa has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Marco Gattorno, Elisabetta Traggiai, Vito Pistoia, Antonio Uccelli, Alberto Martini, Ignazia Prigione, Fabio Morandi, Cecilia Marini, Silvia Morbelli and Gianmario Sambuceti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.