Ted Wu
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Education
- Diet, Metabolism, and Disease
- Family Practice top 10%
Papers in
-
- Diabetes Management and Research 11
- Diabetes Treatment and Management 11
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Surgery 5
- Pancreatic function and diabetes 5
- Co-authors
- Jencia Wong (24 shared papers)Stephen M. Twigg (18 shared papers)Maria Constantino (20 shared papers)Dennis K. Yue (13 shared papers)Lynda Molyneaux (12 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 Therapy (3 papers)Diabetes Care (3 papers)Diabetes Research and Clinical Practice (3 papers)Diabetic Medicine (2 papers)
- Partner nations
- AustraliaSaudi ArabiaCanada
In The Last Decade
Ted Wu
28 papers receiving 795 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 533
- Family Practice 18
- Genetics 176
- Drug Discovery 1
- Nephrology 33
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 | 2013 | 311 | |
| 2 | 2016 | 192 | |
| 3 | 2015 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2017 | 30 | |
| 7 | 2015 | 23 | |
| 8 | 2009 | 20 | |
| 9 | 2005 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2022 | 14 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2022 | 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, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 31 papers that have together received 814 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cardiovascular Function and Risk Factors (4 papers), Gestational Diabetes Research and Management (4 papers), Birth, Development, and Health (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (533 citations), Family Practice (18 citations), Genetics (176 citations), Drug Discovery (1 citation) and Nephrology (33 citations). Ted Wu has collaborated with scholars based in Australia, Saudi Arabia and Canada. Frequent co-authors include Jencia Wong, Stephen M. Twigg, Maria Constantino, Dennis K. Yue, Lynda Molyneaux, 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 Therapy, Diabetes Care, Diabetes Research and Clinical Practice 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.