Gary Ko
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Diabetes Management and Research
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Diabetes Management and Education 3
- Pituitary Gland Disorders and Treatments 3
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- Cardiovascular Health and Disease Prevention 3
- Co-authors
- Juliana Chan (34 shared papers)Clive Stewart Cockram (22 shared papers)Ronald C W Ma (15 shared papers)Xilin Yang (13 shared papers)Alice P.S. Kong (16 shared papers)Julia Critchley (6 shared papers)Wing‐Yee So (9 shared papers)Peter C.Y. Tong (6 shared papers)
In The Last Decade
Gary Ko
55 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 483
- Obstetrics and Gynecology 181
- Nephrology 132
- Cardiology and Cardiovascular Medicine 243
- Rheumatology 152
Countries citing papers authored by Gary Ko
This map shows the geographic impact of Gary Ko'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 Gary Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Ko more than expected).
Fields of papers citing papers by Gary Ko
This network shows the impact of papers produced by Gary Ko. 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 Gary Ko. The network helps show where Gary Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 163 | |
| 2 | 2000 | 152 | |
| 3 | 2004 | 133 | |
| 4 | 2008 | 128 | |
| 5 | 2010 | 124 | |
| 6 | 2009 | 116 | |
| 7 | 2010 | 97 | |
| 8 | 1999 | 82 | |
| 9 | 2010 | 75 | |
| 10 | 2010 | 60 | |
| 11 | 2001 | 50 | |
| 12 | 2008 | 47 | |
| 13 | 1996 | 46 | |
| 14 | 2001 | 41 | |
| 15 | 2009 | 41 | |
| 16 | 2007 | 35 | |
| 17 | 2009 | 34 | |
| 18 | 2012 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2020 | 30 |
About Gary Ko
Gary Ko is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers), Ion channel regulation and function (3 papers), Diabetes Management and Education (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (483 citations), Obstetrics and Gynecology (181 citations), Nephrology (132 citations), Cardiology and Cardiovascular Medicine (243 citations) and Rheumatology (152 citations). Gary Ko has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Juliana Chan, Clive Stewart Cockram, Ronald C W Ma, Xilin Yang, Alice P.S. Kong, Julia Critchley, Wing‐Yee So, Peter C.Y. Tong, Risa Ozaki and Chi Chiu Mok. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice, Clinical Endocrinology, The American Journal of Surgery and Diabetic Medicine.
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.