K-T Khaw

20 total papers · 1.7k total citations
14 papers, 810 citations indexed

About

K-T Khaw is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K-T Khaw has authored 14 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K-T Khaw's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obesity, Physical Activity, Diet (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). K-T Khaw is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obesity, Physical Activity, Diet (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). K-T Khaw collaborates with scholars based in United Kingdom, United States and Netherlands. K-T Khaw's co-authors include Nicholas J. Wareham, Robert Luben, Sheila Bingham, Nicholas Day, Ailsa Welch, Rupert W. Jakes, Suzy Oakes, P. G. Surtees, Nicholas W.J. Wainwright and L. A. Sargeant and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Lipid Research and British Journal of Cancer.

In The Last Decade

K-T Khaw

14 papers receiving 754 citations

Author Peers

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

Author Last Decade Papers Cites
K-T Khaw 308 262 166 117 103 14 810
Hialy Gutierrez 326 1.1× 180 0.7× 107 0.6× 63 0.5× 84 0.8× 16 944
Penny Gordon-Larsen 394 1.3× 190 0.7× 138 0.8× 100 0.9× 85 0.8× 8 801
Mohammed Basulaiman 275 0.9× 214 0.8× 180 1.1× 81 0.7× 40 0.4× 19 896
Sungha Yun 277 0.9× 161 0.6× 96 0.6× 146 1.2× 62 0.6× 12 815
N. Yoshiike 294 1.0× 170 0.6× 78 0.5× 152 1.3× 104 1.0× 23 945
Rikke Kart Jacobsen 247 0.8× 168 0.6× 113 0.7× 109 0.9× 96 0.9× 39 789
Gregory Traversy 300 1.0× 134 0.5× 123 0.7× 91 0.8× 64 0.6× 14 903
Jennifer Peregoy 148 0.5× 141 0.5× 148 0.9× 73 0.6× 91 0.9× 18 858
Dohee Lim 189 0.6× 113 0.4× 140 0.8× 115 1.0× 76 0.7× 17 772
Russell K. McIntire 269 0.9× 205 0.8× 102 0.6× 64 0.5× 87 0.8× 31 898

Countries citing papers authored by K-T Khaw

Since Specialization
Citations

This map shows the geographic impact of K-T Khaw'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 K-T Khaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K-T Khaw more than expected).

Fields of papers citing papers by K-T Khaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K-T Khaw. 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 K-T Khaw. The network helps show where K-T Khaw may publish in the future.

Co-authorship network of co-authors of K-T Khaw

This figure shows the co-authorship network connecting the top 25 collaborators of K-T Khaw. A scholar is included among the top collaborators of K-T Khaw 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 K-T Khaw. K-T Khaw 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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