Ming-Teh Chen

16 papers and 445 indexed citations i.

About

Ming-Teh Chen is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ming-Teh Chen has authored 16 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Ming-Teh Chen’s work include MicroRNA in disease regulation (4 papers), Meningioma and schwannoma management (3 papers) and Glioma Diagnosis and Treatment (3 papers). Ming-Teh Chen is often cited by papers focused on MicroRNA in disease regulation (4 papers), Meningioma and schwannoma management (3 papers) and Glioma Diagnosis and Treatment (3 papers). Ming-Teh Chen collaborates with scholars based in Taiwan, United States and Hong Kong. Ming-Teh Chen's co-authors include Patricia H. Janak, Yi‐Ping Yang, Kai-Hsi Lu, Hsin‐I Ma, Yueh Chien, Donald J. Woodward, Marisela Morales, Mong‐Lien Wang, Barry J. Hoffer and Chian‐Shiu Chien and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Ming-Teh Chen i

Fields of papers citing papers by Ming-Teh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Teh Chen. 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-Teh Chen. The network helps show where Ming-Teh Chen may publish in the future.

Countries citing papers authored by Ming-Teh Chen

Since Specialization
Citations

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