Raquel Castejón
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Atherosclerosis and Cardiovascular Diseases
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Systemic Lupus Erythematosus Research 9
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Co-authors
- Herman Waldmann (2 shared papers)Elizabeth Adams (2 shared papers)Diana Zélénika (2 shared papers)Stephen Cobbold (2 shared papers)Luís Graça (2 shared papers)Silvia Rosado (17 shared papers)Juan Antonio Vargas (14 shared papers)Susana Mellor‐Pita (21 shared papers)
- Journals
- Lupus Science & Medicine (3 papers)Cytometry Part B Clinical Cytometry (3 papers)PLoS ONE (2 papers)Viruses (2 papers)Clinical Rheumatology (2 papers)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Raquel Castejón
49 papers receiving 991 citations
Peers
Comparison fields: 5 of 80
- Immunology 550
- Transplantation 45
- Rheumatology 173
- Genetics 50
- Oncology 103
Countries citing papers authored by Raquel Castejón
This map shows the geographic impact of Raquel Castejón'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 Raquel Castejón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Castejón more than expected).
Fields of papers citing papers by Raquel Castejón
This network shows the impact of papers produced by Raquel Castejón. 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 Raquel Castejón. The network helps show where Raquel Castejón may publish in the future.
Co-authors
The 25 scholars most cited alongside Raquel Castejón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 334 | |
| 2 | 2003 | 111 | |
| 3 | 2009 | 53 | |
| 4 | 1998 | 32 | |
| 5 | 2006 | 32 | |
| 6 | 2003 | 30 | |
| 7 | 2015 | 30 | |
| 8 | 2013 | 30 | |
| 9 | 2002 | 29 | |
| 10 | 2013 | 29 | |
| 11 | 2016 | 25 | |
| 12 | 1997 | 25 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 13 |
About Raquel Castejón
Raquel Castejón is a scholar working on Rheumatology, Immunology, Epidemiology, Genetics and Oncology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), COVID-19 Clinical Research Studies (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Immunology (550 citations), Transplantation (45 citations), Rheumatology (173 citations), Genetics (50 citations) and Oncology (103 citations). Raquel Castejón has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Herman Waldmann, Elizabeth Adams, Diana Zélénika, Stephen Cobbold, Luís Graça, Silvia Rosado, Juan Antonio Vargas, Susana Mellor‐Pita, Pablo Tutor‐Ureta and M. Yebra‐Bango. Their work appears in journals such as Lupus Science & Medicine, Cytometry Part B Clinical Cytometry, PLoS ONE, Viruses and Clinical Rheumatology.
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.