Ming Tat Ling

35 papers and 2.0k indexed citations i.

About

Ming Tat Ling is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ming Tat Ling has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Ming Tat Ling’s work include Cancer-related molecular mechanisms research (6 papers), TGF-β signaling in diseases (5 papers) and Cancer-related Molecular Pathways (4 papers). Ming Tat Ling is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), TGF-β signaling in diseases (5 papers) and Cancer-related Molecular Pathways (4 papers). Ming Tat Ling collaborates with scholars based in Hong Kong, China and Australia. Ming Tat Ling's co-authors include Yong Chuan Wong, Xin‐Yuan Guan, Y.C. Wong, Terence K. Lee, Y C Wong, Sai Wah Tsao, Wei Ney Yap, Yee Leng Yap, Sheung Tat Fan and Anthony P.W. Yuen and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Ming Tat Ling i

Fields of papers citing papers by Ming Tat Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Tat Ling. 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 Ming Tat Ling. The network helps show where Ming Tat Ling may publish in the future.

Countries citing papers authored by Ming Tat Ling

Since Specialization
Citations

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