T Ng

1.3k citations
27 papers · 1.0k indexed · h-index 17
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)Lipoproteins and Cardiovascular Health (7 papers)
Partner nations
AustraliaJapanIran

In The Last Decade

T Ng

27 papers receiving 993 citations

Peers

T Ng
Comparison fields: 5 of 99
  • Epidemiology 343
  • Endocrinology, Diabetes and Metabolism 336
  • Surgery 271
  • Molecular Biology 259
  • Physiology 256
Replace Jey Sook Chae with:
Jey Sook Chae South Korea
Wataru Kameda Japan
Weiqiong Gu China
Gerard T. Chew Australia
Katsuya Yamazaki Japan
A.J.H.H.M. van Oostrom Netherlands
Zoran Gluvić Serbia
Kuang‐Chung Shih Taiwan
Hongyun Yan Canada
Gaia Chiara Mannino Italy
T Ng relative to Jey Sook Chae South Korea Jey Sook Chae's profile →
Citations per field
00.5×1.5×
Jey Sook Chae · 1×
Citations per year

Countries citing papers authored by T Ng

Since Specialization
Citations

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

Fields of papers citing papers by T Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Ng

This figure shows the co-authorship network connecting the top 25 collaborators of T Ng. A scholar is included among the top collaborators of T Ng 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 Ng. T Ng 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 23
2 16
3 102
4 62
5 35
6 16
7 14
8 11
9 47
10 38
11 5
12 13
13 51
14 78
15
ADIPOCYTOKINES AND VLDL METABOLISM INDEPENDENT REGULATORY EFFECTS OF ADIPONECTIN, INSULIN RESISTANCE, AND FAT COMPARTMENTS ON VLDL APOLIPOPROTEIN B-100 KINETICS?
3
16 47
17 7
18 3
19 96
20 118

About T Ng

T Ng is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Endocrine and Autonomic Systems, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (336 citations), Endocrine and Autonomic Systems (69 citations) and Epidemiology (343 citations). T Ng has collaborated with scholars based in Australia, Japan and Iran. Frequent co-authors include Gerald F. Watts, P. Hugh R. Barrett, Dick C. Chan, Esther Ooi, Maryam S. Farvid, Peter J. Meikle, Shizuya Yamashita, Aliki A. Rasmiena, Kerry‐Anne Rye and Naohiko Sakai. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

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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