Isabel Ferrero
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Hematology top 10%
Papers in
- Immunology 37
- T-cell and B-cell Immunology 30
- Immune Cell Function and Interaction 27
- Immunotherapy and Immune Responses 22
- Immune Response and Inflammation 4
- IL-33, ST2, and ILC Pathways 2
- Oncology 5
- CAR-T cell therapy research 4
- Co-authors
- H. Robson MacDonaldAnne WilsonCarlos Ardavı́nFabienne AnjuèreFreddy RadtkeGreta GuardaChantal MattmannPilar Martı́n
- Journals
- The Journal of Immunology (12 papers)Blood (7 papers)European Journal of Immunology (5 papers)Immunology Letters (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- SwitzerlandSpainFrance
In The Last Decade
Isabel Ferrero
41 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 98
- Immunology 1.8k
- Hematology 150
- Immunology and Allergy 81
- Molecular Biology 897
- Dermatology 100
Countries citing papers authored by Isabel Ferrero
This map shows the geographic impact of Isabel Ferrero'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 Isabel Ferrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Ferrero more than expected).
Fields of papers citing papers by Isabel Ferrero
This network shows the impact of papers produced by Isabel Ferrero. 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 Isabel Ferrero. The network helps show where Isabel Ferrero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabel Ferrero, 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 | 2023 | 1 | |
| 2 | 2015 | 77 | |
| 3 | 2015 | 126 | |
| 4 | 2011 | 273 | |
| 5 | 2010 | 131 | |
| 6 | 2010 | 42 | |
| 7 | 2009 | 73 | |
| 8 | 2009 | 52 | |
| 9 | 2007 | 1 | |
| 10 | TCRgamma silencing during alphabeta T cell development depends upon pre-TCR-induced proliferation. | 2006 | 1 |
| 11 | 2006 | 23 | |
| 12 | 2004 | 259 | |
| 13 | 2003 | 159 | |
| 14 | 2000 | 33 | |
| 15 | 1999 | 3 | |
| 16 | 1999 | 47 | |
| 17 | 1999 | 27 | |
| 18 | 1996 | 31 | |
| 19 | 1993 | 2 | |
| 20 | 1993 | 19 |
About Isabel Ferrero
Isabel Ferrero is a scholar working on Immunology, Oncology, Emergency Medical Services, Small Animals and Molecular Biology, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (27 papers), Immunotherapy and Immune Responses (22 papers), CAR-T cell therapy research (4 papers), Immune Response and Inflammation (4 papers), Developmental Biology and Gene Regulation (3 papers), Neonatal Respiratory Health Research (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (1.8k citations), Hematology (150 citations), Immunology and Allergy (81 citations), Molecular Biology (897 citations) and Dermatology (100 citations). Isabel Ferrero has collaborated with scholars based in Switzerland, Spain and France. Frequent co-authors include H. Robson MacDonald, Anne Wilson, Carlos Ardavı́n, Fabienne Anjuère, Freddy Radtke, Greta Guarda, Chantal Mattmann, Pilar Martı́n, Marta López‐Fraga and Natalia Wright. Their work appears in journals such as The Journal of Immunology, Blood, European Journal of Immunology, Immunology Letters 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.