Ted Wu
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes Management and Research 7
- Diabetes Treatment and Management 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Education 2
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- Gestational Diabetes Research and Management 4
- Co-authors
- Jencia Wong (24 shared papers)Stephen M. Twigg (18 shared papers)Dennis K. Yue (13 shared papers)Lynda Molyneaux (12 shared papers)Maria Constantino (19 shared papers)Connie Luo (4 shared papers)Abdulghani Alsaeed (2 shared papers)Mario D’Souza (4 shared papers)
- Journals
- Journal of Diabetes and its Complications (5 papers)Diabetes Research and Clinical Practice (3 papers)Diabetes Care (3 papers)Diabetes Therapy (3 papers)Diabetic Medicine (2 papers)
- Partner nations
- AustraliaSaudi ArabiaCanada
In The Last Decade
Ted Wu
29 papers receiving 829 citations
Ted Wu's Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 365
- Family Practice 10
- Drug Discovery 1
- Nephrology 37
- Genetics 112
Countries citing papers authored by Ted Wu
This map shows the geographic impact of Ted Wu'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 Ted Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Wu more than expected).
Fields of papers citing papers by Ted Wu
This network shows the impact of papers produced by Ted Wu. 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 Ted Wu. The network helps show where Ted Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Long-Term Complications and Mortality in Young-Onset Diabetes Hit paper breakdown → | 2013 | 329 |
| 2 | 2016 | 202 | |
| 3 | 2015 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 32 | |
| 6 | 2017 | 31 | |
| 7 | 2015 | 23 | |
| 8 | 2005 | 22 | |
| 9 | 2009 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 16 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 4 |
About Ted Wu
Ted Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Nephrology, General Health Professions and Molecular Biology, having authored 31 papers that have together received 856 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Gestational Diabetes Research and Management (4 papers), Diabetes Treatment and Management (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Retinal Diseases and Treatments (2 papers), Mobile Health and mHealth Applications (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (365 citations), Family Practice (10 citations), Drug Discovery (1 citation), Nephrology (37 citations) and Genetics (112 citations). Ted Wu has collaborated with scholars based in Australia, Saudi Arabia and Canada. Frequent co-authors include Jencia Wong, Stephen M. Twigg, Dennis K. Yue, Lynda Molyneaux, Maria Constantino, Connie Luo, Abdulghani Alsaeed, Mario D’Souza, Timothy Middleton and Margaret McGill. Their work appears in journals such as Journal of Diabetes and its Complications, Diabetes Research and Clinical Practice, Diabetes Care, Diabetes Therapy and Diabetic Medicine.
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.