Rosa Bacchetta
- Immunology top 0.1%
- Molecular Biology top 5%
- Genetics top 1%
- Oncology top 2%
- Hematology top 1%
- Co-authors
- Maria Grazia RoncaroloMegan K. LevingsSilvia GregoriManuela BattagliaLaura PasseriniMaria-Grazia RoncaroloFederica BarzaghiMaria‐Grazia Roncarolo
- Topics
- Immune Cell Function and Interaction (81 papers)T-cell and B-cell Immunology (74 papers)Immunodeficiency and Autoimmune Disorders (22 papers)
- Cited by
- ImmunologyTransplantationGenetics
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Rosa Bacchetta
112 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology 7.1k
- Molecular Biology 1.8k
- Genetics 1.7k
- Oncology 1.6k
- Hematology 666
Countries citing papers authored by Rosa Bacchetta
This map shows the geographic impact of Rosa Bacchetta'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 Rosa Bacchetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Bacchetta more than expected).
Fields of papers citing papers by Rosa Bacchetta
This network shows the impact of papers produced by Rosa Bacchetta. 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 Rosa Bacchetta. The network helps show where Rosa Bacchetta may publish in the future.
Co-authorship network of co-authors of Rosa Bacchetta
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Bacchetta. A scholar is included among the top collaborators of Rosa Bacchetta 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 Rosa Bacchetta. Rosa Bacchetta 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 | 1 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 97 | |
| 8 | 38 | |
| 9 | 24 | |
| 10 | Chemically modified guide RNAs enhance CRISPR-Cas genome editing in human primary cellsbreakdown → | 813 |
| 11 | 56 | |
| 12 | 94 | |
| 13 | 44 | |
| 14 | 110 | |
| 15 | 45 | |
| 16 | 170 | |
| 17 | Activation-induced FOXP3 in human T effector cells does not suppress proliferation or cytokine productionbreakdown → | 713 |
| 18 | 15 | |
| 19 | The role of cytokines in transplantation tolerance | 2 |
| 20 | 31 |
About Rosa Bacchetta
Rosa Bacchetta is a scholar working on Immunology, Transplantation and Hematology, having authored 115 papers that have together received 9.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (81 papers), T-cell and B-cell Immunology (74 papers) and Immunodeficiency and Autoimmune Disorders (22 papers). The work is most often cited by research in Immunology (7.1k citations), Transplantation (218 citations) and Genetics (1.7k citations). Rosa Bacchetta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Grazia Roncarolo, Megan K. Levings, Silvia Gregori, Manuela Battaglia, Laura Passerini, Maria-Grazia Roncarolo, Federica Barzaghi, Maria‐Grazia Roncarolo, Katharina Fleischhauer and Claudio Bordignon. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.
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.