Christopher R. John
Impact in
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- Photosynthetic Processes and Mechanisms
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
- Photosynthetic Processes and Mechanisms 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Genetic Associations and Epidemiology 1
- Co-authors
- Michael R. Barnes (3 shared papers)David Watson (3 shared papers)Costantino Pitzalis (4 shared papers)Myles Lewis (4 shared papers)Helen K. Woodfield (1 shared paper)Julian M. Hibberd (1 shared paper)Richard Smith-Unna (1 shared paper)Sarah Covshoff (1 shared paper)
- Journals
- Scientific Reports (1 paper)Arthritis Research & Therapy (1 paper)PLANT PHYSIOLOGY (1 paper)Frontiers in Genetics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomItalySpain
In The Last Decade
Christopher R. John
6 papers receiving 298 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 188
- Genetics 56
- Plant Science 64
- Cancer Research 25
- Microbiology 1
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 | 2020 | 87 | |
| 2 | 2014 | 82 | |
| 3 | 2020 | 73 | |
| 4 | 2019 | 55 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 1 |
About Christopher R. John
Christopher R. John is a scholar working on Molecular Biology, Genetics, Rheumatology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 301 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Gene expression and cancer classification (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Single-cell and spatial transcriptomics (1 paper), Genetic Associations and Epidemiology (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (188 citations), Genetics (56 citations), Plant Science (64 citations), Cancer Research (25 citations) and Microbiology (1 citation). Christopher R. John has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Michael R. Barnes, David Watson, Costantino Pitzalis, Myles Lewis, Helen K. Woodfield, Julian M. Hibberd, Richard Smith-Unna, Sarah Covshoff, Patricia B. Munroe and Claudia Cabrera. Their work appears in journals such as Scientific Reports, Arthritis Research & Therapy, PLANT PHYSIOLOGY, Frontiers in Genetics 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.