Lauren E. Steele
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 1
-
- Influenza Virus Research Studies 2
- Co-authors
- Lloyd Mayer (1 shared paper)M. Cecilia Berin (1 shared paper)Keng Yih Chew (4 shared papers)Conor J. Bloxham (4 shared papers)Asha C Bowen (2 shared papers)Janessa Pickering (2 shared papers)Charles F. Gilks (2 shared papers)Zhen Tong (2 shared papers)
- Journals
- Clinical Infectious Diseases (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Immunologic Research (1 paper)eLife (1 paper)JPGN Reports (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Lauren E. Steele
5 papers receiving 183 citations
Peers
Comparison fields: 5 of 57
- Modeling and Simulation 60
- Infectious Diseases 102
- Immunology and Allergy 15
- Obstetrics and Gynecology 17
- Health 18
Countries citing papers authored by Lauren E. Steele
This map shows the geographic impact of Lauren E. Steele'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 Lauren E. Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren E. Steele more than expected).
Fields of papers citing papers by Lauren E. Steele
This network shows the impact of papers produced by Lauren E. Steele. 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 Lauren E. Steele. The network helps show where Lauren E. Steele may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauren E. Steele, 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 | 2012 | 43 | |
| 3 | 2020 | 36 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 4 | |
| 6 | 2025 | 0 |
About Lauren E. Steele
Lauren E. Steele is a scholar working on Infectious Diseases, Epidemiology, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 188 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Influenza Virus Research Studies (2 papers), Asthma and respiratory diseases (2 papers), Allergic Rhinitis and Sensitization (1 paper), Pancreatitis Pathology and Treatment (1 paper), Acute Lymphoblastic Leukemia research (1 paper), COVID-19 epidemiological studies (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Modeling and Simulation (60 citations), Infectious Diseases (102 citations), Immunology and Allergy (15 citations), Obstetrics and Gynecology (17 citations) and Health (18 citations). Lauren E. Steele has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Lloyd Mayer, M. Cecilia Berin, Keng Yih Chew, Conor J. Bloxham, Asha C Bowen, Janessa Pickering, Charles F. Gilks, Zhen Tong, Ellesandra C. Noye and Katina D. Hulme. Their work appears in journals such as Clinical Infectious Diseases, Frontiers in Cellular and Infection Microbiology, Immunologic Research, eLife and JPGN Reports.
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.