José Ramón Lamas
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies 15
- Systemic Lupus Erythematosus Research 8
- Osteoarthritis Treatment and Mechanisms 7
- Spondyloarthritis Studies and Treatments 4
- Immunology top 10%
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 4
- Genetics top 10%
- Hematology top 10%
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- Monoclonal and Polyclonal Antibodies Research 14
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- vaccines and immunoinformatics approaches 5
- Co-authors
- Benjamín Fernández‐GutiérrezJosé A. Łópez de CastroElena UrcelayLuis Rodríguez‐RodríguezLydia AbásoloEmilio G. de la ConchaAnabel MarinaDidier Rognan
- Cited by
- RheumatologyImmunologyGenetics
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)PLoS ONE (2 papers)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
José Ramón Lamas
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Rheumatology 422
- Immunology 423
- Genetics 80
- Hematology 81
- Cancer Research 90
Countries citing papers authored by José Ramón Lamas
This map shows the geographic impact of José Ramón Lamas'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 José Ramón Lamas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Ramón Lamas more than expected).
Fields of papers citing papers by José Ramón Lamas
This network shows the impact of papers produced by José Ramón Lamas. 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 José Ramón Lamas. The network helps show where José Ramón Lamas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José Ramón Lamas, 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 | 6 | |
| 2 | 2019 | 20 | |
| 3 | 2019 | 24 | |
| 4 | 2018 | 7 | |
| 5 | Long-term continuation of methotrexate therapy in giant cell arteritis patients in clinical practice. | 2017 | 9 |
| 6 | 2013 | 27 | |
| 7 | 2012 | 8 | |
| 8 | 2010 | 19 | |
| 9 | 2010 | 9 | |
| 10 | 2010 | 36 | |
| 11 | 2009 | 16 | |
| 12 | 2009 | 14 | |
| 13 | 2009 | 51 | |
| 14 | 2009 | 8 | |
| 15 | 2009 | 14 | |
| 16 | 2009 | 8 | |
| 17 | 2008 | 34 | |
| 18 | 2002 | 59 | |
| 19 | 1999 | 36 | |
| 20 | 1997 | 29 |
About José Ramón Lamas
José Ramón Lamas is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (11 papers), Systemic Lupus Erythematosus Research (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), vaccines and immunoinformatics approaches (5 papers), Spondyloarthritis Studies and Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Rheumatology (422 citations), Immunology (423 citations) and Genetics (80 citations). José Ramón Lamas has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Benjamín Fernández‐Gutiérrez, José A. Łópez de Castro, Elena Urcelay, Luis Rodríguez‐Rodríguez, Lydia Abásolo, Emilio G. de la Concha, Anabel Marina, Didier Rognan, Alfonso Martínez and Jezabel Varadé. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
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.