Donata Rimoldi
- Immunology top 0.1%
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 1%
- Epidemiology top 5%
- Co-authors
- Pedro RomeroDaniel E. SpeiserDanielle LíénardJean‐Charles CerottiniDanila ValmoriLars E. FrenchPascal SchneiderMichael Schröter
- Topics
- Immunotherapy and Immune Responses (98 papers)T-cell and B-cell Immunology (55 papers)vaccines and immunoinformatics approaches (37 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- SwitzerlandUnited StatesBelgium
In The Last Decade
Donata Rimoldi
144 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 7.8k
- Molecular Biology 5.7k
- Oncology 4.3k
- Cancer Research 1.1k
- Epidemiology 769
Countries citing papers authored by Donata Rimoldi
This map shows the geographic impact of Donata Rimoldi'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 Donata Rimoldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donata Rimoldi more than expected).
Fields of papers citing papers by Donata Rimoldi
This network shows the impact of papers produced by Donata Rimoldi. 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 Donata Rimoldi. The network helps show where Donata Rimoldi may publish in the future.
Co-authorship network of co-authors of Donata Rimoldi
This figure shows the co-authorship network connecting the top 25 collaborators of Donata Rimoldi. A scholar is included among the top collaborators of Donata Rimoldi 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 Donata Rimoldi. Donata Rimoldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 27 | |
| 3 | 49 | |
| 4 | 76 | |
| 5 | 96 | |
| 6 | 76 | |
| 7 | 93 | |
| 8 | Análisis de la asociación de HLA DRB1-DQB1 y autoanticuerpos en familias con Síndrome Poliendocrino Autoinmune (APS) | 1 |
| 9 | 36 | |
| 10 | Rapid and strong human CD8+ T cell responses to vaccination with peptide, IFA, and CpG oligodeoxynucleotide 7909breakdown → | 514 |
| 11 | 16 | |
| 12 | 76 | |
| 13 | 78 | |
| 14 | 62 | |
| 15 | 100 | |
| 16 | 23 | |
| 17 | 64 | |
| 18 | 78 | |
| 19 | 71 | |
| 20 | 52 |
About Donata Rimoldi
Donata Rimoldi is a scholar working on Immunology, Oncology and Microbiology, having authored 146 papers that have together received 11.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (98 papers), T-cell and B-cell Immunology (55 papers) and vaccines and immunoinformatics approaches (37 papers). The work is most often cited by research in Immunology (7.8k citations), Oncology (4.3k citations) and Molecular Biology (5.7k citations). Donata Rimoldi has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Pedro Romero, Daniel E. Speiser, Danielle Líénard, Jean‐Charles Cerottini, Danila Valmori, Lars E. French, Pascal Schneider, Michael Schröter, Michael Hahne and Ferdy J. Lejeune. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.