Jane E. Sinclair
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
-
- Influenza Virus Research Studies 3
- Co-authors
- Jonathan Van Blerkom (1 shared paper)Patrick Davis (1 shared paper)Kirsty R. Short (11 shared papers)Keng Yih Chew (4 shared papers)Lauren E. Steele (3 shared papers)Conor J. Bloxham (3 shared papers)Janessa Pickering (2 shared papers)Zhen Tong (3 shared papers)
- Journals
- Vaccine (2 papers)npj Vaccines (2 papers)Clinical Infectious Diseases (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)iScience (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Jane E. Sinclair
12 papers receiving 313 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 63
- Infectious Diseases 137
- Reproductive Medicine 46
- Health 29
- 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 | 99 | |
| 2 | 1995 | 88 | |
| 3 | 2020 | 36 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 0 | |
| 14 | 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 14 papers that have together received 335 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Influenza Virus Research Studies (3 papers), Platelet Disorders and Treatments (2 papers), COVID-19 and healthcare impacts (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Modeling and Simulation (63 citations), Infectious Diseases (137 citations), Reproductive Medicine (46 citations), Health (29 citations) and Public Health, Environmental and Occupational Health (80 citations). Jane E. Sinclair has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jonathan Van Blerkom, Patrick Davis, Kirsty R. Short, Keng Yih Chew, Lauren E. Steele, Conor J. Bloxham, Janessa Pickering, Zhen Tong, Katina D. Hulme and Jiahai Lu. Their work appears in journals such as Vaccine, npj Vaccines, Clinical Infectious Diseases, Frontiers in Cellular and Infection Microbiology and iScience.
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.