Ken Gu

2.2k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Ken Gu is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Epidemiology. According to data from OpenAlex, Ken Gu has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in General Health Professions and 4 papers in Epidemiology. Recurrent topics in Ken Gu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Disease Management Strategies (3 papers) and Diabetes Treatment and Management (2 papers). Ken Gu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Disease Management Strategies (3 papers) and Diabetes Treatment and Management (2 papers). Ken Gu collaborates with scholars based in Singapore, Macao and United States. Ken Gu's co-authors include Maureen I Harris, Catherine C. Cowie, Lay‐Wai Khin, Seang‐Mei Saw, E Shyong Tai, Derrick Heng, Thomas Wong, Ming Liu, Mark S. Eberhardt and Katherine M. Flegal and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Diabetes Care.

In The Last Decade

Ken Gu

13 papers receiving 1.6k citations

Hit Papers

Mortality in Adults With and Without Diabetes in a Nation... 1998 2026 2007 2016 1998 1999 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Gu Singapore 9 993 498 300 272 194 13 1.7k
Aart H. Bootsma Netherlands 16 1.1k 1.1× 548 1.1× 418 1.4× 210 0.8× 230 1.2× 22 1.8k
Frank Schäper Germany 25 765 0.8× 520 1.0× 221 0.7× 319 1.2× 394 2.0× 52 1.9k
Tim Welborn Australia 6 1.0k 1.0× 330 0.7× 300 1.0× 195 0.7× 200 1.0× 9 1.8k
Sabine Schipf Germany 25 856 0.9× 317 0.6× 345 1.1× 160 0.6× 189 1.0× 79 1.8k
Michael P. Bancks United States 21 526 0.5× 392 0.8× 260 0.9× 166 0.6× 131 0.7× 81 1.4k
Tripthi Kamath United States 11 840 0.8× 567 1.1× 403 1.3× 289 1.1× 167 0.9× 22 2.0k
K.‐T. Khaw United Kingdom 20 706 0.7× 352 0.7× 320 1.1× 338 1.2× 199 1.0× 35 2.0k
Maie Alshahid Saudi Arabia 17 491 0.5× 399 0.8× 253 0.8× 208 0.8× 158 0.8× 36 1.5k
Jose R. Pio United States 12 1.1k 1.1× 906 1.8× 539 1.8× 490 1.8× 193 1.0× 15 2.3k
Michelle Magee United States 19 1.9k 1.9× 706 1.4× 462 1.5× 374 1.4× 369 1.9× 57 2.8k

Countries citing papers authored by Ken Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ken Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Gu. A scholar is included among the top collaborators of Ken Gu 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 Ken Gu. Ken Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Gu, Ken, et al.. (2024). Global prevalence of excessive daytime sleepiness among nurses: A systematic review and meta‐analysis. International Nursing Review. 72(1). e13087–e13087. 1 indexed citations
2.
Ming, Liu, et al.. (2019). An iterative approach to enhance the clinical learning experience in Macao nursing education. International Journal of Nursing Sciences. 6(2). 216–220. 5 indexed citations
3.
Liu, Ming, et al.. (2015). Perceived stress among Macao nursing students in the clinical learning environment. SHILAP Revista de lepidopterología. 2(2). 128–133. 52 indexed citations
4.
6.
Khin, Lay‐Wai, et al.. (2005). The age of menopause and the menopause transition in a multiracial population: a nation-wide Singapore study. Maturitas. 52(3-4). 169–180. 90 indexed citations
7.
Tan, Ngiap Chuan, Nicole-Ann Lim, & Ken Gu. (2004). Effectiveness of Nurse Counselling in Discouraging the Use of the infant Walkers. Asia Pacific Journal of Public Health. 16(2). 104–107. 17 indexed citations
8.
Tai, E Shyong, Su Yen Goh, Derrick Heng, et al.. (2004). Lowering the Criterion for Impaired Fasting Glucose. Diabetes Care. 27(7). 1728–1734. 73 indexed citations
9.
Tan, Ngiap Chuan, et al.. (2003). Factors influencing caregiver's use of an infant walker. 2(1). 16–22. 4 indexed citations
10.
Gu, Ken, et al.. (2003). The Singapore Impaired Glucose Tolerance Follow-Up Study. Diabetes Care. 26(11). 3024–3030. 34 indexed citations
11.
Harris, Maureen I, Catherine C. Cowie, Ken Gu, et al.. (2002). Higher fasting insulin but lower fasting C‐peptide levels in African Americans in the US population. Diabetes/Metabolism Research and Reviews. 18(2). 149–155. 43 indexed citations
12.
Gu, Ken. (1999). Diabetes and Decline in Heart Disease Mortality in US Adults. JAMA. 281(14). 1291–1291. 638 indexed citations breakdown →
13.
Gu, Ken, Catherine C. Cowie, & Maureen I Harris. (1998). Mortality in Adults With and Without Diabetes in a National Cohort of the U.S. Population, 1971–1993. Diabetes Care. 21(7). 1138–1145. 686 indexed citations breakdown →

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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