Christopher Moon
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 5
- Tuberculosis Research and Epidemiology 2
-
- Bioactive Compounds and Antitumor Agents 1
- Co-authors
- Joanna Bacon (4 shared papers)Rose E. Jeeves (2 shared papers)Corinne Wills (1 shared paper)Emma C. L. Marrs (1 shared paper)Nick Allenby (1 shared paper)Katsuhiko S. Murakami (1 shared paper)Jeff Errington (1 shared paper)Yulia Yuzenkova (1 shared paper)
- Journals
- Science (2 papers)The Lancet Microbe (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)ACS Omega (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Christopher Moon
9 papers receiving 918 citations
Christopher Moon's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 756
- Modeling and Simulation 64
- Immunology 193
- Health 72
- Animal Science and Zoology 61
Countries citing papers authored by Christopher Moon
This map shows the geographic impact of Christopher Moon'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 Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Moon more than expected).
Fields of papers citing papers by Christopher Moon
This network shows the impact of papers produced by Christopher Moon. 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 Moon. The network helps show where Christopher Moon may publish in the future.
Co-authors
The 20 scholars most cited alongside Christopher Moon, 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 | Pre-existing polymerase-specific T cells expand in abortive seronegative SARS-CoV-2 Hit paper breakdown → | 2021 | 309 |
| 2 | Immune boosting by B.1.1.529 ( Omicron) depends on previous SARS-CoV-2 exposure Hit paper breakdown → | 2022 | 255 |
| 3 | 2021 | 249 | |
| 4 | 2018 | 52 | |
| 5 | 2021 | 48 | |
| 6 | 2019 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 |
About Christopher Moon
Christopher Moon is a scholar working on Infectious Diseases, Toxicology, Molecular Medicine, Molecular Biology and Epidemiology, having authored 9 papers that have together received 937 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), vaccines and immunoinformatics approaches (3 papers), Mycobacterium research and diagnosis (2 papers), Tuberculosis Research and Epidemiology (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Mosquito-borne diseases and control (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Infectious Diseases (756 citations), Modeling and Simulation (64 citations), Immunology (193 citations), Health (72 citations) and Animal Science and Zoology (61 citations). Christopher Moon has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Joanna Bacon, Rose E. Jeeves, Corinne Wills, Emma C. L. Marrs, Nick Allenby, Katsuhiko S. Murakami, Jeff Errington, Yulia Yuzenkova, John David Perry and Yeonoh Shin. Their work appears in journals such as Science, The Lancet Microbe, Antimicrobial Agents and Chemotherapy, ACS Omega and Cell Reports Methods.
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.