May Ked Tham

515 total citations
9 papers, 430 citations indexed

About

May Ked Tham is a scholar working on Physiology, Psychiatry and Mental health and Pathology and Forensic Medicine. According to data from OpenAlex, May Ked Tham has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 4 papers in Psychiatry and Mental health and 2 papers in Pathology and Forensic Medicine. Recurrent topics in May Ked Tham's work include Dementia and Cognitive Impairment Research (4 papers), Obesity, Physical Activity, Diet (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). May Ked Tham is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Obesity, Physical Activity, Diet (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). May Ked Tham collaborates with scholars based in Hong Kong, China and United States. May Ked Tham's co-authors include Sai Yin Ho, TH Lam, Kin Sang Ho, C. Mary Schooling, GM Leung, Benjamin J. Cowling, Helen Chiu, Victor Lui, Cindy W. C. Tam and K. S. Ho and has published in prestigious journals such as PLoS ONE, International Journal of Geriatric Psychiatry and Tobacco Control.

In The Last Decade

May Ked Tham

9 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
May Ked Tham Hong Kong 8 159 133 103 72 57 9 430
Ayesha Sajjad Netherlands 14 58 0.4× 105 0.8× 74 0.7× 54 0.8× 47 0.8× 30 556
Andrew J. Newens United Kingdom 11 104 0.7× 182 1.4× 74 0.7× 131 1.8× 24 0.4× 17 499
J. Guralnik United States 10 174 1.1× 112 0.8× 77 0.7× 88 1.2× 87 1.5× 12 632
Tzuo-Yun Lan Taiwan 12 103 0.6× 98 0.7× 98 1.0× 74 1.0× 109 1.9× 19 585
Paul de Vreede Netherlands 3 156 1.0× 116 0.9× 41 0.4× 46 0.6× 35 0.6× 3 422
Adolfo Valhuerdi Cuba 8 125 0.8× 269 2.0× 112 1.1× 125 1.7× 117 2.1× 9 678
Juliette Cook United Kingdom 3 124 0.8× 187 1.4× 55 0.5× 50 0.7× 40 0.7× 3 435
An‐Chun Hwang Taiwan 19 653 4.1× 267 2.0× 107 1.0× 88 1.2× 51 0.9× 30 1.1k
Alessandra de Carvalho Bastone Brazil 12 216 1.4× 146 1.1× 94 0.9× 79 1.1× 51 0.9× 42 611
Sara Rubin United States 10 261 1.6× 82 0.6× 69 0.7× 168 2.3× 103 1.8× 17 660

Countries citing papers authored by May Ked Tham

Since Specialization
Citations

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

Fields of papers citing papers by May Ked Tham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Ked Tham. 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 May Ked Tham. The network helps show where May Ked Tham may publish in the future.

Co-authorship network of co-authors of May Ked Tham

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

All Works

9 of 9 papers shown
1.
Lam, Linda C. W., Cindy W. C. Tam, Victor Lui, et al.. (2008). Modality of physical exercise and cognitive function in Hong Kong older Chinese community. International Journal of Geriatric Psychiatry. 24(1). 48–53. 43 indexed citations
2.
Lam, Linda, Cindy W. C. Tam, Victor Lui, et al.. (2008). Screening of Mild Cognitive Impairment in Chinese Older Adults – A Multistage Validation of the Chinese Abbreviated Mild Cognitive Impairment Test. Neuroepidemiology. 30(1). 6–12. 23 indexed citations
3.
Schooling, C. Mary, Wenjie Sun, Sai Yin Ho, et al.. (2008). Moderate Alcohol Use and Mortality from Ischaemic Heart Disease: A Prospective Study in Older Chinese People. PLoS ONE. 3(6). e2370–e2370. 29 indexed citations
4.
Schooling, C. Mary, Wenjie Sun, Sai Yin Ho, et al.. (2008). Correction: Moderate Alcohol Use and Mortality from Ischaemic Heart Disease: A Prospective Study in Older Chinese People. PLoS ONE. 3(6). 5 indexed citations
5.
Lam, TH, Sai Yin Ho, Kin Sang Ho, et al.. (2007). Smoking, quitting and mortality in an elderly cohort of 56 000 Hong Kong Chinese. Tobacco Control. 16(3). 182–189. 65 indexed citations
6.
Chan, Sandra Sau Man, Linda C. W. Lam, Cindy W. C. Tam, et al.. (2007). Prevalence of clinically significant depressive symptoms in an epidemiologic sample of community‐dwelling elders with milder forms of cognitive impairment in Hong Kong SAR. International Journal of Geriatric Psychiatry. 23(6). 611–617. 10 indexed citations
7.
Lam, Linda C. W., Cindy W. C. Tam, Victor Lui, et al.. (2007). Prevalence of very mild and mild dementia in community-dwelling older Chinese people in Hong Kong. International Psychogeriatrics. 20(1). 135–148. 108 indexed citations
8.
Schooling, C. Mary, TH Lam, Sai Yin Ho, et al.. (2006). Obesity, Physical Activity, and Mortality in a Prospective Chinese Elderly Cohort. Archives of Internal Medicine. 166(14). 1498–1498. 135 indexed citations
9.
Tham, May Ked, et al.. (1989). Heat stroke: a clinical review of 27 cases.. PubMed. 30(2). 137–40. 12 indexed citations

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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