Jane E. Sinclair
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
-
- Influenza Virus Research Studies 3
- Co-authors
- Patrick Davis (1 shared paper)Jonathan Van Blerkom (1 shared paper)Kirsty R. Short (11 shared papers)Daniel F. O. Onah (1 shared paper)Keng Yih Chew (4 shared papers)Lauren E. Steele (3 shared papers)Mike Joy (1 shared paper)Charles F. Gilks (2 shared papers)
- Journals
- npj Vaccines (2 papers)Vaccine (2 papers)Clinical Infectious Diseases (1 paper)Clinical & Translational Immunology (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jane E. Sinclair
14 papers receiving 365 citations
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 43
- Computer Science Applications 42
- Infectious Diseases 97
- Reproductive Medicine 42
- Public Health, Environmental and Occupational Health 83
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 | 1995 | 100 | |
| 2 | 2020 | 99 | |
| 3 | 2020 | 38 | |
| 4 | 2013 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2025 | 0 | |
| 16 | 2020 | 0 |
About Jane E. Sinclair
Jane E. Sinclair is a scholar working on Infectious Diseases, Epidemiology, Surgery, Neurology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 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), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Innovative Teaching and Learning Methods (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Modeling and Simulation (43 citations), Computer Science Applications (42 citations), Infectious Diseases (97 citations), Reproductive Medicine (42 citations) and Public Health, Environmental and Occupational Health (83 citations). Jane E. Sinclair has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick Davis, Jonathan Van Blerkom, Kirsty R. Short, Daniel F. O. Onah, Keng Yih Chew, Lauren E. Steele, Mike Joy, Charles F. Gilks, Asha C Bowen and Russell Boyatt. Their work appears in journals such as npj Vaccines, Vaccine, Clinical Infectious Diseases, Clinical & Translational Immunology and PLoS neglected tropical diseases.
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.