Kay-Tee Khaw

13 total papers · 1.8k total citations
3 papers, 189 citations indexed

About

Kay-Tee Khaw is a scholar working on Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Health. According to data from OpenAlex, Kay-Tee Khaw has authored 3 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 2 papers in Pathology and Forensic Medicine and 1 paper in Health. Recurrent topics in Kay-Tee Khaw's work include Obesity, Physical Activity, Diet (2 papers), Nutritional Studies and Diet (1 paper) and Nutrition, Genetics, and Disease (1 paper). Kay-Tee Khaw is often cited by papers focused on Obesity, Physical Activity, Diet (2 papers), Nutritional Studies and Diet (1 paper) and Nutrition, Genetics, and Disease (1 paper). Kay-Tee Khaw collaborates with scholars based in United States, Portugal and New Zealand. Kay-Tee Khaw's co-authors include Elizabeth Barrett‐Connor, Robert Scragg, S. Murphy, Robert Luben, Sheila Bingham and Gunter Kuhnle and has published in prestigious journals such as American Journal of Epidemiology and Age and Ageing.

In The Last Decade

Kay-Tee Khaw

3 papers receiving 174 citations

Author Peers

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

Author						Papers	Cites
Kay-Tee Khaw	98	93	60	37	25	3	189
Judy Coveney	101 1.0×	123 1.3×	94 1.6×	29 0.8×	63 2.5×	2	282
Sathish Chandra Pichika	57 0.6×	114 1.2×	40 0.7×	31 0.8×	8 0.3×	5	246
Molly E. Reusser	159 1.6×	93 1.0×	103 1.7×	31 0.8×	22 0.9×	11	284
Taylor Wolfram	109 1.1×	63 0.7×	88 1.5×	9 0.2×	29 1.2×	7	281
Petro Wolmarans	64 0.7×	72 0.8×	28 0.5×	40 1.1×	28 1.1×	7	244
Luo-Shi-Yuan Zuo	71 0.7×	42 0.5×	87 1.4×	26 0.7×	28 1.1×	8	275
C. Simón	92 0.9×	33 0.4×	48 0.8×	43 1.2×	31 1.2×	4	166
Silvia Narejos	54 0.6×	61 0.7×	65 1.1×	9 0.2×	32 1.3×	4	197
Tagli Pitsi	155 1.6×	70 0.8×	64 1.1×	19 0.5×	20 0.8×	5	283
Alaa Badawi	29 0.3×	38 0.4×	33 0.6×	40 1.1×	27 1.1×	4	154

Countries citing papers authored by Kay-Tee Khaw

Since Specialization

Citations

This map shows the geographic impact of Kay-Tee 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 Kay-Tee Khaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay-Tee Khaw more than expected).

Fields of papers citing papers by Kay-Tee Khaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay-Tee Khaw

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