Ken Gu

2.2k citations
12 papers · 1.8k · 2 hit papers · h-index 9

Impact in

Papers in

Ken Gu

12 papers receiving 1.6k citations

Ken Gu's Hit Papers

Diabetes and Decline in Heart Disease Mortality in US Adults 1999 · 688 citations
6880+9+18Years since publication200400600

Peers

Ken Gu
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 984
  • Leadership and Management 22
  • Cardiology and Cardiovascular Medicine 248
  • Nephrology 55
  • Surgery 173
Replace Rodney A. Lorenz with:
Rodney A. Lorenz United States
P. H. Wise United Kingdom
Aart H. Bootsma Netherlands
Andreas J. Melidonis Greece
SHARON PARTEN GASKILL United States
NORMAN S. STENHOUSE Australia
Alfonso Lopez-Alba Spain
Doug Case United States
Željko Metelko Croatia
Maria Constantino Australia
Ken Gu relative to Rodney A. Lorenz United States Rodney A. Lorenz's profile →
Citations per field
00.5×2×4×6.0×
Rodney A. Lorenz · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Ken Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Gu Line = papers co-authored together Ken Gu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Mortality in Adults With and Without Diabetes in a National Cohort of the U.S. Population, 1971–1993
Hit paper breakdown →
1998723
2
Diabetes and Decline in Heart Disease Mortality in US Adults
Hit paper breakdown →
1999688
3 200595
4 200478
5 201553
6 200246
7 200336
8 200418
9 201412
10 20127
11 20195
12 20034

About Ken Gu

Ken Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Leadership and Management, Research and Theory, Developmental and Educational Psychology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Nursing education and management (2 papers), Injury Epidemiology and Prevention (2 papers), Healthcare Education and Workforce Issues (2 papers), Student Stress and Coping (2 papers), Healthcare Systems and Public Health (1 paper), Pancreatic function and diabetes (1 paper) and Menopause: Health Impacts and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (984 citations), Leadership and Management (22 citations), Cardiology and Cardiovascular Medicine (248 citations), Nephrology (55 citations) and Surgery (173 citations). Ken Gu has collaborated with scholars based in Singapore, Macao and United States. Frequent co-authors include Maureen I Harris, Catherine C. Cowie, Seang‐Mei Saw, Lay‐Wai Khin, E Shyong Tai, Derrick Heng, Thomas K.S. Wong, Mark S. Eberhardt, Katherine M. Flegal and Mildred E. Francis. Their work appears in journals such as Diabetes Care, International Journal of Nursing Sciences, JAMA, Diabetes/Metabolism Research and Reviews and BMC Public Health.

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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