Manuela Capone
- Immunology top 1%
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 10
- Psoriasis: Treatment and Pathogenesis 9
- Immunotherapy and Immune Responses 4
- Dermatology top 2%
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research 6
- Immunology and Allergy top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 4
-
- Drug-Induced Adverse Reactions 6
- Co-authors
- Francesco AnnunziatoLaura MaggiLorenzo CosmiFrancesco LiottaEnrico MaggiVeronica SantarlasciSergio RomagnaniValentina Querci
- Cited by
- ImmunologyDermatologyHematology
- Journals
- European Journal of Immunology (10 papers)Frontiers in Immunology (3 papers)Journal of Allergy and Clinical Immunology (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Manuela Capone
43 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 1.7k
- Dermatology 176
- Hematology 187
- Immunology and Allergy 101
- Infectious Diseases 246
Countries citing papers authored by Manuela Capone
This map shows the geographic impact of Manuela Capone'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 Manuela Capone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Capone more than expected).
Fields of papers citing papers by Manuela Capone
This network shows the impact of papers produced by Manuela Capone. 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 Manuela Capone. The network helps show where Manuela Capone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuela Capone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 72 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 7 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 72 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 15 | |
| 15 | 2015 | 66 | |
| 16 | 2012 | 92 | |
| 17 | 2012 | 43 | |
| 18 | 2011 | 170 | |
| 19 | 2009 | 127 | |
| 20 | Human interleukin 17–producing cells originate from a CD161+CD4+ T cell precursorbreakdown → | 2008 | 564 |
About Manuela Capone
Manuela Capone is a scholar working on Immunology, Dermatology and Hematology, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers), Psoriasis: Treatment and Pathogenesis (9 papers), Drug-Induced Adverse Reactions (6 papers), COVID-19 Clinical Research Studies (6 papers), Autoimmune and Inflammatory Disorders Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (1.7k citations), Dermatology (176 citations) and Hematology (187 citations). Manuela Capone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Francesco Annunziato, Laura Maggi, Lorenzo Cosmi, Francesco Liotta, Enrico Maggi, Veronica Santarlasci, Sergio Romagnani, Valentina Querci, Francesca Frosali and Raffaele De Palma. Their work appears in journals such as European Journal of Immunology, Frontiers in Immunology, Journal of Allergy and Clinical Immunology, International Archives of Allergy and Immunology and Immunology Letters.
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.