Jane E. Sinclair
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
-
- Long-Term Effects of COVID-19 3
- Co-authors
- Patrick W. Davis (1 shared paper)Jonathan Van Blerkom (1 shared paper)Kirsty Renfree Short (9 shared papers)Daniel F. O. Onah (1 shared paper)Lauren E. Steele (2 shared papers)Janessa L. Pickering (1 shared paper)Jiahai Lu (1 shared paper)Asha Bowen (1 shared paper)
- Journals
- Vaccine (2 papers)npj Vaccines (2 papers)iScience (1 paper)Education and Information Technologies (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jane E. Sinclair
17 papers receiving 453 citations
Peers
Comparison fields: 5 of 97
- Computer Science Applications 41
- Modeling and Simulation 29
- Infectious Diseases 109
- Reproductive Medicine 42
- Public Health, Environmental and Occupational Health 80
Countries citing papers authored by Jane E. Sinclair
This map shows the geographic impact of Jane E. Sinclair'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 E. Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane E. Sinclair more than expected).
Fields of papers citing papers by Jane E. Sinclair
This network shows the impact of papers produced by Jane E. Sinclair. 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 E. Sinclair. The network helps show where Jane E. Sinclair may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane E. Sinclair, 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 | 119 | |
| 2 | 1995 | 99 | |
| 3 | 2013 | 37 | |
| 4 | 2022 | 37 | |
| 5 | 2020 | 35 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2025 | 0 |
About Jane E. Sinclair
Jane E. Sinclair is a scholar working on Infectious Diseases, Neurology, Computer Science Applications, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 18 papers that have together received 486 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers), Influenza Virus Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers), Online and Blended Learning (2 papers), Viral Infections and Immunology Research (2 papers), Platelet Disorders and Treatments (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Computer Science Applications (41 citations), Modeling and Simulation (29 citations), Infectious Diseases (109 citations), Reproductive Medicine (42 citations) and Public Health, Environmental and Occupational Health (80 citations). Jane E. Sinclair has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick W. Davis, Jonathan Van Blerkom, Kirsty Renfree Short, Daniel F. O. Onah, Lauren E. Steele, Janessa L. Pickering, Jiahai Lu, Asha Bowen, Mike S. Joy and Yao Xia. Their work appears in journals such as Vaccine, npj Vaccines, iScience, Education and Information Technologies and European Respiratory Journal.
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.