Ken Gu

2.2k citations
13 papers · 1.7k · 2 hit papers · h-index 9

Impact in

Papers in

Ken Gu

13 papers receiving 1.6k citations

Ken Gu's Hit Papers

Diabetes and Decline in Heart Disease Mortality in US Adults 1999 · 659 citations
6590+9+18Years since publication200400600

Peers

Ken Gu
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 741
  • Cardiology and Cardiovascular Medicine 312
  • Research and Theory 8
  • Surgery 202
  • Radiology, Nuclear Medicine and Imaging 103
Replace Vedat Sansoy with:
Vedat Sansoy Türkiye
Anu Turpeinen Finland
Michelle Magee United States
Jose R. Pio United States
Tim Welborn Australia
Frank Schäper Germany
Barry M. Stults United States
S. M. Haffner United States
Sabine Schipf Germany
Theodore Feldman United States
Ken Gu relative to Vedat Sansoy Türkiye Vedat Sansoy's profile →
Citations per field
00.5×1.6×
Vedat Sansoy · 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 25 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

13 of 13 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 →
1998712
2
Diabetes and Decline in Heart Disease Mortality in US Adults
Hit paper breakdown →
1999659
3 200594
4 200473
5 201552
6 200245
7 200334
8 200417
9 201412
10 20127
11 20195
12 20034
13 20241

About Ken Gu

Ken Gu is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Pediatrics, Perinatology and Child Health, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Child and Adolescent Health (2 papers), Menopause: Health Impacts and Treatments (1 paper), Nursing Education, Practice, and Leadership (1 paper), Injury Epidemiology and Prevention (1 paper), Diabetes and associated disorders (1 paper), Global Maternal and Child Health (1 paper) and Health and Well-being Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (741 citations), Cardiology and Cardiovascular Medicine (312 citations), Research and Theory (8 citations), Surgery (202 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). Ken Gu has collaborated with scholars based in Singapore, Macao and United States. Frequent co-authors include Maureen I Harris, Catherine C. Cowie, Lay‐Wai Khin, Seang‐Mei Saw, Derrick Heng, E Shyong Tai, Thomas Wong, Ming Liu, Katherine M. Flegal and Mark S. Eberhardt. Their work appears in journals such as Diabetes Care, International Journal of Nursing Sciences, International Nursing Review, Maturitas 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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