Chris Lunt
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
Papers in
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- Scientific Computing and Data Management 2
- Genetics 2
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
- Co-authors
- Naomi E. Allen (2 shared papers)Mark Effingham (2 shared papers)David Glazer (2 shared papers)Peter Goodhand (1 shared paper)Alexander G. Bick (1 shared paper)Raghib Ali (1 shared paper)Rory Collins (1 shared paper)Andrew T. Girvin (2 shared papers)
- Journals
- Cell Genomics (1 paper)The American Journal of Human Genetics (1 paper)Journal of the American Medical Informatics Association (1 paper)Nature Communications (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Chris Lunt
8 papers receiving 40 citations
Peers
Comparison fields: 5 of 32
- Health Informatics 3
- Genetics 19
- Information Systems and Management 3
- Health Information Management 2
- Critical Care and Intensive Care Medicine 2
Countries citing papers authored by Chris Lunt
This map shows the geographic impact of Chris Lunt'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 Lunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Lunt more than expected).
Fields of papers citing papers by Chris Lunt
This network shows the impact of papers produced by Chris Lunt. 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 Lunt. The network helps show where Chris Lunt may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Lunt, 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 | 16 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 |
About Chris Lunt
Chris Lunt is a scholar working on Information Systems and Management, Genetics, Infectious Diseases, Neurology and General Health Professions, having authored 8 papers that have together received 42 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Genomics and Rare Diseases (2 papers), Mobile Health and mHealth Applications (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper), Long-Term Effects of COVID-19 (1 paper), Ethics in Clinical Research (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Health Informatics (3 citations), Genetics (19 citations), Information Systems and Management (3 citations), Health Information Management (2 citations) and Critical Care and Intensive Care Medicine (2 citations). Chris Lunt has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Naomi E. Allen, Mark Effingham, David Glazer, Peter Goodhand, Alexander G. Bick, Raghib Ali, Rory Collins, Andrew T. Girvin, Geoffrey S. Ginsburg and Angela Page. Their work appears in journals such as Cell Genomics, The American Journal of Human Genetics, Journal of the American Medical Informatics Association, Nature Communications and Nature Reviews Genetics.
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.