Gary T.C. Ko

48 total papers · 2.1k total citations
41 papers, 1.7k citations indexed

About

Gary T.C. Ko is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gary T.C. Ko has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gary T.C. Ko's work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Obesity, Physical Activity, Diet (9 papers) and Diabetes Management and Research (9 papers). Gary T.C. Ko is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Obesity, Physical Activity, Diet (9 papers) and Diabetes Management and Research (9 papers). Gary T.C. Ko collaborates with scholars based in China, Hong Kong and United States. Gary T.C. Ko's co-authors include Juliana C.N. Chan, Clive S. Cockram, Joyce Tang, Chun‐Chung Chow, Ronald C.W., Alice P.S. Kong, Ming Wai Yeung, Wing‐Yee So, Peter C.Y. Tong and Xilin Yang and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Gary T.C. Ko

41 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gary T.C. Ko	857	322	313	273	242	41	1.7k
Peter C.Y. Tong	846 1.0×	216 0.7×	381 1.2×	301 1.1×	151 0.6×	38	2.0k
Heikki Oksa	697 0.8×	351 1.1×	319 1.0×	182 0.7×	374 1.5×	65	2.0k
Eeva Korpi-Hyövälti	585 0.7×	295 0.9×	370 1.2×	151 0.6×	276 1.1×	35	1.5k
Timo Saaristo	834 1.0×	339 1.1×	312 1.0×	127 0.5×	314 1.3×	40	1.4k
Fiona Bragg	450 0.5×	291 0.9×	453 1.4×	296 1.1×	259 1.1×	60	1.7k
S Rössner	448 0.5×	319 1.0×	226 0.7×	219 0.8×	528 2.2×	38	1.6k
Pirjo Härkönen	1.1k 1.3×	370 1.1×	289 0.9×	361 1.3×	523 2.2×	35	2.2k
Yoko Yachi	514 0.6×	445 1.4×	328 1.0×	211 0.8×	458 1.9×	35	2.0k
Ana Carolina Junqueira Vasques	763 0.9×	436 1.4×	459 1.5×	223 0.8×	497 2.1×	70	1.9k
Øystein Krüger	459 0.5×	340 1.1×	214 0.7×	94 0.3×	217 0.9×	26	1.8k

Countries citing papers authored by Gary T.C. Ko

Since Specialization

Citations

This map shows the geographic impact of Gary T.C. 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 T.C. 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 T.C. Ko more than expected).

Fields of papers citing papers by Gary T.C. Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary T.C. 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 T.C. Ko. The network helps show where Gary T.C. Ko may publish in the future.

Co-authorship network of co-authors of Gary T.C. Ko

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

All Works

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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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