T. Kue Young

5.3k citations
67 papers · 3.9k indexed · 1 hit paper · h-index 33
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers)Nutritional Studies and Diet (10 papers)Diet and metabolism studies (9 papers)
Partner nations
CanadaDenmarkAustralia

In The Last Decade

T. Kue Young

67 papers receiving 3.7k citations

Hit Papers

SGLT2 inhibitors for the prevention of kidney failure in ...20192026202120232019200400600

Peers

T. Kue Young
Comparison fields: 5 of 150
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Public Health, Environmental and Occupational Health 775
  • General Health Professions 728
  • Epidemiology 703
  • Surgery 515
Replace Youlian Liao with:
Youlian Liao United States
J. Michael Sprafka United States
A. Fagot‐Campagna France
Rainford Wilks Jamaica
Hongyan Ning United States
Gloria L. Beckles United States
Fahad Razak Canada
Mohan Deepa India
Niels de Fine Olivarius Denmark
Lisa B. Signorello United States
T. Kue Young relative to Youlian Liao United States Youlian Liao's profile →
Citations per field
00.5×1.5×
Youlian Liao · 1×
Citations per year

Countries citing papers authored by T. Kue Young

Since Specialization
Citations

This map shows the geographic impact of T. Kue Young'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 T. Kue Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kue Young more than expected).

Fields of papers citing papers by T. Kue Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Kue Young. 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 T. Kue Young. The network helps show where T. Kue Young may publish in the future.

Co-authorship network of co-authors of T. Kue Young

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kue Young. A scholar is included among the top collaborators of T. Kue Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Kue Young. T. Kue Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 30
2 36
3 32
4 110
5 46
6
Undiagnosed diabetes: does it matter?
54
7 2
8 1
9 21
10 61
11 134
12 49
13 75
14 33
15 24
16 81
17
Determinants of plasma glucose level and diabetic status in a northern Canadian Indian population.
23
18 85
19 38
20 13

About T. Kue Young

T. Kue Young is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 67 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Nutritional Studies and Diet (10 papers) and Diet and metabolism studies (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Health (371 citations) and Nephrology (262 citations). T. Kue Young has collaborated with scholars based in Canada, Denmark and Australia. Frequent co-authors include John O’Neil, Leslíe L. Roos, Dale E. Gelskey, Brenda Elias, Jeff Reading, Cameron Mustard, Jo Robinson, Sharon Bruce, Anthony J. Hanley and Heather Dean. Their work appears in journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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