Christopher R. John
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
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- T-cell and B-cell Immunology
Papers in
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- Rheumatoid Arthritis Research and Therapies 4
- Systemic Lupus Erythematosus Research 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Michael Barnes (3 shared papers)David Watson (3 shared papers)Myles Lewis (4 shared papers)Costantino Pitzalis (4 shared papers)Patricia Munroe (1 shared paper)Sarah Covshoff (1 shared paper)Julian M. Hibberd (1 shared paper)Helen K. Woodfield (1 shared paper)
- Journals
- Frontiers in Genetics (1 paper)PLANT PHYSIOLOGY (1 paper)Nature Medicine (1 paper)Arthritis Research & Therapy (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomItalyBelgium
In The Last Decade
Christopher R. John
8 papers receiving 846 citations
Christopher R. John's Hit Papers
Peers
Comparison fields: 5 of 114
- Rheumatology 271
- Immunology 144
- Hematology 69
- Molecular Biology 288
- Genetics 39
Countries citing papers authored by Christopher R. John
This map shows the geographic impact of Christopher R. John'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 Christopher R. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. John more than expected).
Fields of papers citing papers by Christopher R. John
This network shows the impact of papers produced by Christopher R. John. 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 Christopher R. John. The network helps show where Christopher R. John may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher R. John, 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 | Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes Hit paper breakdown → | 2019 | 298 |
| 2 | Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial Hit paper breakdown → | 2022 | 202 |
| 3 | 2020 | 101 | |
| 4 | 2020 | 91 | |
| 5 | 2014 | 87 | |
| 6 | 2019 | 71 | |
| 7 | 2024 | 5 | |
| 8 | 2022 | 1 |
About Christopher R. John
Christopher R. John is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 8 papers that have together received 856 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Systemic Lupus Erythematosus Research (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Rheumatology (271 citations), Immunology (144 citations), Hematology (69 citations), Molecular Biology (288 citations) and Genetics (39 citations). Christopher R. John has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Michael Barnes, David Watson, Myles Lewis, Costantino Pitzalis, Patricia Munroe, Sarah Covshoff, Julian M. Hibberd, Helen K. Woodfield, Richard D. Smith-Unna and Claudia Patricia Tobar Cabrera. Their work appears in journals such as Frontiers in Genetics, PLANT PHYSIOLOGY, Nature Medicine, Arthritis Research & Therapy and Bioinformatics.
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.