Weng Yee Chin

1.9k citations
69 papers · 1.2k indexed · h-index 19
Topics
Chronic Disease Management Strategies (19 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers)Diabetes Management and Education (12 papers)

In The Last Decade

Weng Yee Chin

67 papers receiving 1.2k citations

Peers

Weng Yee Chin
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 350
  • Epidemiology 252
  • General Health Professions 248
  • Clinical Psychology 206
  • Cardiology and Cardiovascular Medicine 174
Replace Kenn B. Daratha with:
Kenn B. Daratha United States
Steven Folmar United States
Anna D. Rubinsky United States
Kerry H. Cheever United States
Kelly J. Acton United States
Ameena T. Ahmed United States
Amanda Farley United Kingdom
Peter Sargious Canada
Torin Block United States
Leila Jahangiry Iran
Weng Yee Chin relative to Kenn B. Daratha United States Kenn B. Daratha's profile →
Citations per field
00.5×1.5×1.9×
Kenn B. Daratha · 1×
Citations per year

Countries citing papers authored by Weng Yee Chin

Since Specialization
Citations

This map shows the geographic impact of Weng Yee Chin'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 Weng Yee Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weng Yee Chin more than expected).

Fields of papers citing papers by Weng Yee Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weng Yee Chin. 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 Weng Yee Chin. The network helps show where Weng Yee Chin may publish in the future.

Co-authorship network of co-authors of Weng Yee Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Weng Yee Chin. A scholar is included among the top collaborators of Weng Yee Chin 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 Weng Yee Chin. Weng Yee Chin 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 2
2 5
3 3
4 10
5 4
6 3
7 9
8 8
9 15
10 1
11 7
12 36
13 22
14 11
15 11
16 151
17 17
18 14
19 19
20 15

About Weng Yee Chin

Weng Yee Chin is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Family Practice, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers) and Diabetes Management and Education (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Nephrology (84 citations) and Clinical Psychology (206 citations). Weng Yee Chin has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Cindy Lo Kuen Lam, Eric Yuk Fai Wan, Edmond Pui Hang Choi, Carlos King Ho Wong, Esther Yee Tak Yu, Dyt Fong, Kit T. Y. Chan, Colman Siu Cheung Fung, Anca Ka Chun Chan and Tai Pong Lam. Their work appears in journals such as The Lancet, PLoS ONE 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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