Ming-Hong Tai

36 papers and 947 indexed citations i.

About

Ming-Hong Tai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ming-Hong Tai has authored 36 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Ming-Hong Tai’s work include Cancer, Hypoxia, and Metabolism (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Neuropeptides and Animal Physiology (3 papers). Ming-Hong Tai is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Neuropeptides and Animal Physiology (3 papers). Ming-Hong Tai collaborates with scholars based in Taiwan, United States and Russia. Ming-Hong Tai's co-authors include Gerald M. Edelman, Leslie A. Krushel, Kathryn L. Crossin, Vincent P. Mauro, Cheng‐Chang Lien, Bruce A. Cunningham, Mei‐Lang Kung, Kuei‐Sen Hsu, Deng-Chyang Wu and Shuchen Hsieh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Ming-Hong Tai i

Fields of papers citing papers by Ming-Hong Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming-Hong Tai

Since Specialization
Citations

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