Y T Mak

55 papers and 1.4k indexed citations i.

About

Y T Mak is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Y T Mak has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Y T Mak’s work include Alzheimer's disease research and treatments (7 papers), Bone health and osteoporosis research (6 papers) and Neurological Disease Mechanisms and Treatments (6 papers). Y T Mak is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Bone health and osteoporosis research (6 papers) and Neurological Disease Mechanisms and Treatments (6 papers). Y T Mak collaborates with scholars based in Hong Kong, China and United Kingdom. Y T Mak's co-authors include Tim D. Spector, Jean Woo, David T. Yew, Toby Andrew, Christopher J. Hammond, R. Swaminathan, Wai Ping Lam, J Cheung, Geeta Hampson and John A. Rudd and has published in prestigious journals such as Neurology, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Y T Mak i

Fields of papers citing papers by Y T Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y T Mak. 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 Y T Mak. The network helps show where Y T Mak may publish in the future.

Countries citing papers authored by Y T Mak

Since Specialization
Citations

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

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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2025