Chee Fang Sum

6.6k citations
179 papers · 4.6k indexed · h-index 32
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers)Chronic Kidney Disease and Diabetes (29 papers)Diabetes Treatment and Management (27 papers)

In The Last Decade

Chee Fang Sum

171 papers receiving 4.5k citations

Peers

Chee Fang Sum
Comparison fields: 5 of 152
  • Molecular Biology 1.5k
  • Physiology 1.4k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Epidemiology 750
  • Cancer Research 710
Replace Kei Kamide with:
Kei Kamide Japan
Masayuki Yokode Japan
Jerzy Chudek Poland
Maciej Tomaszewski United Kingdom
Koji Yonemoto Japan
Jae Hyeon Kim South Korea
Stephen M. Twigg Australia
Seung‐Hyun Ko South Korea
Paul M. Ridker United States
Shyi‐Jang Shin Taiwan
Chee Fang Sum relative to Kei Kamide Japan Kei Kamide's profile →
Citations per field
00.5×1.5×1.8×
Kei Kamide · 1×
Citations per year

Countries citing papers authored by Chee Fang Sum

Since Specialization
Citations

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

Fields of papers citing papers by Chee Fang Sum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Fang Sum. 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 Chee Fang Sum. The network helps show where Chee Fang Sum may publish in the future.

Co-authorship network of co-authors of Chee Fang Sum

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Fang Sum. A scholar is included among the top collaborators of Chee Fang Sum 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 Chee Fang Sum. Chee Fang Sum 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 4
2 0
3 1
4 2
5 0
6 1
7 21
8 5
9 3
10 6
11 30
12 18
13 4
14 21
15 5
16 46
17 39
18 41
19 8
20 13

About Chee Fang Sum

Chee Fang Sum is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 179 papers that have together received 4.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers), Chronic Kidney Disease and Diabetes (29 papers) and Diabetes Treatment and Management (27 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Nephrology (438 citations) and Physiology (1.4k citations). Chee Fang Sum has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Tavintharan Subramaniam, Su Chi Lim, Jianjun Liu, Kandiah Jeyaseelan, Michael Wong, Dwi Setyowati Karolina, Arunmozhiarasi Armugam, Sylvia Liu, Serena Low and Sharon Li Ting Pek. Their work appears in journals such as PLoS ONE, 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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