Jane Lyons
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Electronic Health Records Systems
- Medical Coding and Health Information
Papers in
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- COVID-19 epidemiological studies 8
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- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Ronan Anthony Lyons (38 shared papers)Ashley Akbari (28 shared papers)Richard J. Fry (7 shared papers)Fatemeh Torabi (15 shared papers)Bruce Guthrie (4 shared papers)Chris J L Dibben (3 shared papers)Mike B. Gravenor (5 shared papers)Emily Jefferson (3 shared papers)
- Journals
- BMJ Open (8 papers)International Journal for Population Data Science (8 papers)PLoS ONE (3 papers)Injury Prevention (3 papers)Vaccine (2 papers)
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
Jane Lyons
47 papers receiving 640 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 47
- Health Information Management 63
- Infectious Diseases 119
- Health 39
- Epidemiology 128
Countries citing papers authored by Jane Lyons
This map shows the geographic impact of Jane Lyons'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 Jane Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Lyons more than expected).
Fields of papers citing papers by Jane Lyons
This network shows the impact of papers produced by Jane Lyons. 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 Jane Lyons. The network helps show where Jane Lyons may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Lyons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 96 | |
| 2 | 2022 | 55 | |
| 3 | 2020 | 46 | |
| 4 | 2020 | 41 | |
| 5 | 2022 | 41 | |
| 6 | 2022 | 36 | |
| 7 | 2022 | 29 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2015 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Jane Lyons
Jane Lyons is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Emergency Medicine and Health Information Management, having authored 53 papers that have together received 658 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (11 papers), Injury Epidemiology and Prevention (8 papers), COVID-19 epidemiological studies (8 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Trauma and Emergency Care Studies (4 papers), COVID-19 and healthcare impacts (4 papers) and COVID-19 Prevention and Impact (3 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Health Information Management (63 citations), Infectious Diseases (119 citations), Health (39 citations) and Epidemiology (128 citations). Jane Lyons has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Ronan Anthony Lyons, Ashley Akbari, Richard J. Fry, Fatemeh Torabi, Bruce Guthrie, Chris J L Dibben, Mike B. Gravenor, Emily Jefferson, Clare MacRae and Stewart William Mercer. Their work appears in journals such as BMJ Open, International Journal for Population Data Science, PLoS ONE, Injury Prevention and Vaccine.
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.