Ted Wu

1.1k citations
34 papers · 935 · h-index 12

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Management and Education
    • Natural Antidiabetic Agents Studies
  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes

Papers in

Ted Wu

32 papers receiving 900 citations

Peers

Ted Wu
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 527
  • Nephrology 73
  • Family Practice 12
  • Ophthalmology 37
  • General Health Professions 55
Replace Maria Constantino with:
Maria Constantino Australia
Domingos Augusto Cherino Malerbi Brazil
Albert G. B. Amoah Ghana
Kazuya Fujihara Japan
Cindy Guandalini United States
John G. Cooper Norway
ISRAEL A. HORA United States
S. J. Parvathi India
Simon Walford United Kingdom
Stefan P. O. Jansson Sweden
Ted Wu relative to Maria Constantino Australia Maria Constantino's profile →
Citations per field
00.5×1.5×
Maria Constantino · 1×
Citations per year

Countries citing papers authored by Ted Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ted Wu Line = papers co-authored together Ted Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013360
2 2016213
3 201536
4 201935
5 202035
6 201732
7 201527
8 200522
9 202222
10 200921
11 202121
12 201712
13 202211
14 201410
15 202110
16 20149
17 20218
18 20238
19 20217
20 20227

About Ted Wu

Ted Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Nephrology, General Health Professions and Ophthalmology, having authored 34 papers that have together received 935 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers), Chronic Kidney Disease and Diabetes (4 papers), Gestational Diabetes Research and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Food Security and Health in Diverse Populations (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (527 citations), Nephrology (73 citations), Family Practice (12 citations), Ophthalmology (37 citations) and General Health Professions (55 citations). Ted Wu has collaborated with scholars based in Australia, Saudi Arabia and New Zealand. Frequent co-authors include Jencia Wong, Stephen Morris Twigg, Lynda M. Molyneaux, Maria Constantino, Dennis K. Yue, Connie Luo, Abdulghani Habib Alsaeed, Mario I D'Souza, Timothy L. Middleton and Margaret J. McGill. Their work appears in journals such as Journal of Diabetes and its Complications, Diabetes Care, Diabetes Research and Clinical Practice, Contemporary Clinical Trials and Diabetes Therapy.

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.

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