Paola Roncaioli
- Molecular Biology top 10%
- Immunology top 10%
- Physiology top 10%
- Cell Biology top 10%
- Oncology
- Co-authors
- Maria Grazia CifoneAngela SantoniRuggero De MariaRoberto TestiLewis L. LanierMaria Rita RippoMiyuki AzumaGrazia Camarda
- Topics
- Lipid Membrane Structure and Behavior (6 papers)Sphingolipid Metabolism and Signaling (3 papers)Cell Adhesion Molecules Research (3 papers)
- Partner nations
- ItalySwitzerlandMontenegro
In The Last Decade
Paola Roncaioli
14 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 873
- Immunology 387
- Physiology 197
- Cell Biology 129
- Oncology 93
Countries citing papers authored by Paola Roncaioli
This map shows the geographic impact of Paola Roncaioli'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 Paola Roncaioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Roncaioli more than expected).
Fields of papers citing papers by Paola Roncaioli
This network shows the impact of papers produced by Paola Roncaioli. 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 Paola Roncaioli. The network helps show where Paola Roncaioli may publish in the future.
Co-authorship network of co-authors of Paola Roncaioli
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Roncaioli. A scholar is included among the top collaborators of Paola Roncaioli 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 Paola Roncaioli. Paola Roncaioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 82 | |
| 3 | Beta 1 integrin cross-linking inhibits CD16-induced phospholipase D and secretory phospholipase A2 activity and granule exocytosis in human NK cells: role of phospholipase D in CD16-triggered degranulation. | 22 |
| 4 | 57 | |
| 5 | 24 | |
| 6 | Influence of L-carnitine on CD95 cross-lining-induced apoptosis and ceramide generation in human cell lines: correlation with its effects on purified acidic and neutral sphingomyelinases in vitro. | 29 |
| 7 | 108 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 43 | |
| 11 | 262 | |
| 12 | Apoptotic signaling through CD95 (Fas/Apo-1) activates an acidic sphingomyelinase.breakdown → | 521 |
| 13 | 20 | |
| 14 | 10 |
About Paola Roncaioli
Paola Roncaioli is a scholar working on Immunology and Allergy, Physiology and Immunology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Sphingolipid Metabolism and Signaling (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology (387 citations), Molecular Biology (873 citations) and Physiology (55 citations). Paola Roncaioli has collaborated with scholars based in Italy, Switzerland and Montenegro. Frequent co-authors include Maria Grazia Cifone, Angela Santoni, Ruggero De Maria, Roberto Testi, Lewis L. Lanier, Maria Rita Rippo, Miyuki Azuma, Grazia Camarda, Giovina Ruberti and Gabriella Palmieri. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The EMBO Journal.
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.