King-Fai Cheng

19 papers and 397 indexed citations i.

About

King-Fai Cheng is a scholar working on Complementary and alternative medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, King-Fai Cheng has authored 19 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Complementary and alternative medicine, 4 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in King-Fai Cheng’s work include Complementary and Alternative Medicine Studies (5 papers), Bone Metabolism and Diseases (2 papers) and Estrogen and related hormone effects (2 papers). King-Fai Cheng is often cited by papers focused on Complementary and Alternative Medicine Studies (5 papers), Bone Metabolism and Diseases (2 papers) and Estrogen and related hormone effects (2 papers). King-Fai Cheng collaborates with scholars based in Hong Kong, New Zealand and China. King-Fai Cheng's co-authors include Ping‐Chung Leung, Ping Chung Leung, Eliza Lai‐Yi Wong, Kwok‐Pui Fung, Tai Fai Fok, Wen‐Ching Ko, P.C. Ng, Kam‐Lun Ellis Hon, Ting Fan Leung and C.J. Haines and has published in prestigious journals such as British Journal of Dermatology, Neuro-Oncology and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Co-authorship network of co-authors of King-Fai Cheng i

Fields of papers citing papers by King-Fai Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King-Fai Cheng. 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 King-Fai Cheng. The network helps show where King-Fai Cheng may publish in the future.

Countries citing papers authored by King-Fai Cheng

Since Specialization
Citations

This map shows the geographic impact of King-Fai Cheng'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 King-Fai Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King-Fai Cheng 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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