Paola Parronchi
- Immunology top 0.1%
- Physiology top 0.5%
- Immunology and Allergy top 0.1%
- Dermatology top 0.2%
- Epidemiology top 2%
- Co-authors
- Enrico MaggiSergio RomagnaniMarie‐Pierre PiccinniRoberto ManettiFrancesco AnnunziatoM G GiudiziDonatella MacchiaSalvatore Sampognaro
- Topics
- Immune Cell Function and Interaction (43 papers)Asthma and respiratory diseases (38 papers)T-cell and B-cell Immunology (30 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Paola Parronchi
152 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 7.6k
- Physiology 2.6k
- Immunology and Allergy 1.9k
- Dermatology 1.5k
- Epidemiology 1.4k
Countries citing papers authored by Paola Parronchi
This map shows the geographic impact of Paola Parronchi'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 Parronchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Parronchi more than expected).
Fields of papers citing papers by Paola Parronchi
This network shows the impact of papers produced by Paola Parronchi. 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 Parronchi. The network helps show where Paola Parronchi may publish in the future.
Co-authorship network of co-authors of Paola Parronchi
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Parronchi. A scholar is included among the top collaborators of Paola Parronchi 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 Parronchi. Paola Parronchi 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 | 0 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 36 | |
| 9 | 183 | |
| 10 | Human interleukin 17–producing cells originate from a CD161+CD4+ T cell precursorbreakdown → | 564 |
| 11 | 36 | |
| 12 | 12 | |
| 13 | Highly Th2-skewed cytokine profile of beta-lactam-specific T cells from nonatopic subjects with adverse drug reactions. | 62 |
| 14 | 42 | |
| 15 | 131 | |
| 16 | 126 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 84 | |
| 20 | IL-4 is an essential factor for the IgE synthesis induced in vitro by human T cell clones and their supernatants.breakdown → | 605 |
About Paola Parronchi
Paola Parronchi is a scholar working on Immunology and Allergy, Immunology and Dermatology, having authored 162 papers that have together received 12.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (43 papers), Asthma and respiratory diseases (38 papers) and T-cell and B-cell Immunology (30 papers). The work is most often cited by research in Immunology (7.6k citations), Immunology and Allergy (1.9k citations) and Dermatology (1.5k citations). Paola Parronchi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Enrico Maggi, Sergio Romagnani, Marie‐Pierre Piccinni, Roberto Manetti, Francesco Annunziato, M G Giudizi, Donatella Macchia, Salvatore Sampognaro, M Ricci and Giorgio Trinchieri. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.