Jordi Yagüe
- Immunology top 1%
- IL-33, ST2, and ILC Pathways 16
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 12
- Immunology and Allergy top 1%
- Hematology top 1%
- Autoimmune and Inflammatory Disorders Research 13
- Multiple Myeloma Research and Treatments 13
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 10
- Nephrology top 2%
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- Inflammasome and immune disorders 41
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- Monoclonal and Polyclonal Antibodies Research 18
- Co-authors
- Juan I. ArósteguiPhilippa MarrackJordi VivesManel JuanJohn W. KapplerManuel Ramos‐CasalsEstíbaliz Ruiz‐OrtizJosep Font
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Jordi Yagüe
141 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 2.4k
- Immunology and Allergy 433
- Hematology 758
- Rheumatology 851
- Nephrology 290
Countries citing papers authored by Jordi Yagüe
This map shows the geographic impact of Jordi Yagüe'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 Jordi Yagüe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Yagüe more than expected).
Fields of papers citing papers by Jordi Yagüe
This network shows the impact of papers produced by Jordi Yagüe. 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 Jordi Yagüe. The network helps show where Jordi Yagüe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jordi Yagüe, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2017 | 4 | |
| 9 | 2013 | 1 | |
| 10 | Anti-Ro52 antibody testing influences the classification and clinical characterisation of primary Sjögren's syndrome. | 2013 | 37 |
| 11 | 2012 | 6 | |
| 12 | 2011 | 18 | |
| 13 | 2009 | 49 | |
| 14 | 2009 | 8 | |
| 15 | 2008 | 1 | |
| 16 | 2007 | 6 | |
| 17 | 2007 | 51 | |
| 18 | Effect of NOD2/CARD15 variants in T-cell depleted allogeneic stem cell transplantation. | 2006 | 51 |
| 19 | 1995 | 16 | |
| 20 | 1988 | 39 |
About Jordi Yagüe
Jordi Yagüe is a scholar working on Immunology, Hematology and Immunology and Allergy, having authored 146 papers that have together received 5.8k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (41 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), IL-33, ST2, and ILC Pathways (16 papers), Immune Cell Function and Interaction (15 papers), Autoimmune and Inflammatory Disorders Research (13 papers), Multiple Myeloma Research and Treatments (13 papers), T-cell and B-cell Immunology (12 papers) and Systemic Lupus Erythematosus Research (10 papers). The work is most often cited by research in Immunology (2.4k citations), Immunology and Allergy (433 citations) and Hematology (758 citations). Jordi Yagüe has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Juan I. Aróstegui, Philippa Marrack, Jordi Vives, Manel Juan, John W. Kappler, Manuel Ramos‐Casals, Estíbaliz Ruiz‐Ortiz, Josep Font, Ricard Cervera and Jordi Antón. Their work appears in journals such as Nature, Cell 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.