Chris Fuller
Impact in
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- Antibiotic Use and Resistance
Papers in
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- Infection Control in Healthcare 3
- SARS-CoV-2 detection and testing 2
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
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- RNA and protein synthesis mechanisms 2
- Co-authors
- Qingying Meng (1 shared paper)Yi Song (1 shared paper)Xin He (1 shared paper)Xia Yang (1 shared paper)Bin Zhang (1 shared paper)Hao Li (1 shared paper)Sheldon Stone (3 shared papers)Susan Michie (4 shared papers)
- Journals
- American Journal of Infection Control (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Journal of the American Medical Directors Association (1 paper)The American Journal of Human Genetics (1 paper)Environment International (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Chris Fuller
14 papers receiving 560 citations
Peers
Comparison fields: 5 of 113
- Applied Microbiology and Biotechnology 43
- Business and International Management 23
- Infectious Diseases 136
- Aging 11
- Modeling and Simulation 25
Countries citing papers authored by Chris Fuller
This map shows the geographic impact of Chris Fuller'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 Chris Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Fuller more than expected).
Fields of papers citing papers by Chris Fuller
This network shows the impact of papers produced by Chris Fuller. 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 Chris Fuller. The network helps show where Chris Fuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Fuller, 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 | 2013 | 174 | |
| 2 | 2018 | 96 | |
| 3 | 2013 | 52 | |
| 4 | 2015 | 49 | |
| 5 | 2021 | 36 | |
| 6 | 2013 | 34 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2010 | 15 | |
| 11 | 2017 | 10 | |
| 12 | 2024 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 0 |
About Chris Fuller
Chris Fuller is a scholar working on Infectious Diseases, Molecular Biology, General Health Professions, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 567 indexed citations. Recurring topics across this work include Infection Control in Healthcare (3 papers), Infection Control and Ventilation (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Food Safety and Hygiene (2 papers) and Urban Green Space and Health (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (43 citations), Business and International Management (23 citations), Infectious Diseases (136 citations), Aging (11 citations) and Modeling and Simulation (25 citations). Chris Fuller has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Qingying Meng, Yi Song, Xin He, Xia Yang, Bin Zhang, Hao Li, Sheldon Stone, Susan Michie, Laura Shallcross and Andrew Hayward. Their work appears in journals such as American Journal of Infection Control, American Journal of Respiratory and Critical Care Medicine, Journal of the American Medical Directors Association, The American Journal of Human Genetics and Environment International.
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.