Gary Ko

2.2k citations
51 papers · 1.6k indexed · h-index 23

Impact in

Papers in

Gary Ko

49 papers receiving 1.5k citations

Peers

Gary Ko
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 559
  • Obstetrics and Gynecology 184
  • Nephrology 151
  • Pediatrics, Perinatology and Child Health 265
  • Cardiology and Cardiovascular Medicine 262
Replace Peter C.Y. Tong with:
Peter C.Y. Tong Hong Kong
Ole Torffvit Sweden
Samy Hadjadj France
Oleg Tsuprykov Germany
Erik Ingelsson Sweden
Göran Fex Sweden
Andrea Zuckerman United States
Sydney Benchetrit Israel
Anders Himmelmänn Sweden
Yong‐Ki Min South Korea
Gary Ko relative to Peter C.Y. Tong Hong Kong Peter C.Y. Tong's profile →
Citations per field
00.5×1.5×
Peter C.Y. Tong · 1×
Citations per year

Countries citing papers authored by Gary Ko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 2000144
3 2008115
4 2010114
5 201092
6 200989
7 199980
8 201071
9 201056
10 200147
11 200844
12 199643
13 200938
14 200134
15 200932
16 200731
17 201228
18 199825
19 201724
20 201022

About Gary Ko

Gary Ko is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Epidemiology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Treatment and Management (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Global Cancer Incidence and Screening (6 papers), Cancer, Lipids, and Metabolism (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (559 citations), Obstetrics and Gynecology (184 citations), Nephrology (151 citations), Pediatrics, Perinatology and Child Health (265 citations) and Cardiology and Cardiovascular Medicine (262 citations). Gary Ko has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Juliana C.N. Chan, Clive S. Cockram, Ronald C.W., Xilin Yang, Alice P.S. Kong, Julia Critchley, Wing‐Yee So, Risa Ozaki, Peter C.Y. Tong and Wing Hung Tam. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetes Care, The American Journal of Surgery, Clinical Endocrinology 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.

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