Jane E. Lee
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Diabetes Management and Research
- Diabetes Management and Education
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Diabetes Treatment and Management 2
- Diabetes Management and Research 2
- Diabetic Foot Ulcer Assessment and Management 1
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Courtney Rees Lyles (1 shared paper)Urmimala Sarkar (1 shared paper)Sarah Lisker (1 shared paper)Luoping Zhang (1 shared paper)Martyn T. Smith (1 shared paper)Iemaan Rana (1 shared paper)
- Journals
- Diabetes Care (7 papers)Diabetes (2 papers)Journal of Medical Internet Research (1 paper)Chemosphere (1 paper)Vaccine (1 paper)
- Partner nations
- United States
In The Last Decade
Jane E. Lee
14 papers receiving 544 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 195
- Infectious Diseases 119
- Modeling and Simulation 26
- Aging 6
- Health 27
Countries citing papers authored by Jane E. Lee
This map shows the geographic impact of Jane E. Lee'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. Lee 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. Lee more than expected).
Fields of papers citing papers by Jane E. Lee
This network shows the impact of papers produced by Jane E. Lee. 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. Lee. The network helps show where Jane E. Lee may publish in the future.
Co-authors
The 6 scholars most cited alongside Jane E. Lee, 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 | 2021 | 153 | |
| 2 | 2019 | 97 | |
| 3 | 2019 | 84 | |
| 4 | 2021 | 65 | |
| 5 | 2020 | 49 | |
| 6 | 2021 | 30 | |
| 7 | 2023 | 29 | |
| 8 | 2019 | 24 | |
| 9 | 2022 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Jane E. Lee
Jane E. Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Neurology, Modeling and Simulation and Physiology, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic Associations and Epidemiology (2 papers), Peripheral Neuropathies and Disorders (2 papers), Diabetes Treatment and Management (2 papers), Diabetes Management and Research (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Infectious Diseases (119 citations), Modeling and Simulation (26 citations), Aging (6 citations) and Health (27 citations). Jane E. Lee has collaborated with scholars based in United States. Frequent co-authors include Courtney Rees Lyles, Urmimala Sarkar, Sarah Lisker, Luoping Zhang, Martyn T. Smith and Iemaan Rana. Their work appears in journals such as Diabetes Care, Diabetes, Journal of Medical Internet Research, Chemosphere 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.