Ming‐Shen Dai

69 papers and 678 indexed citations i.

About

Ming‐Shen Dai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ming‐Shen Dai has authored 69 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 21 papers in Pulmonary and Respiratory Medicine and 12 papers in Molecular Biology. Recurrent topics in Ming‐Shen Dai’s work include HER2/EGFR in Cancer Research (8 papers), Cancer Treatment and Pharmacology (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). Ming‐Shen Dai is often cited by papers focused on HER2/EGFR in Cancer Research (8 papers), Cancer Treatment and Pharmacology (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). Ming‐Shen Dai collaborates with scholars based in Taiwan, United States and China. Ming‐Shen Dai's co-authors include Ching‐Liang Ho, Yuguang Chen, Jyh‐Cherng Yu, Ping‐Ying Chang, Tsu‐Yi Chao, Guo‐Shiou Liao, Chia‐Hung Kao, Cheng‐Li Lin, Te‐Yu Lin and Huan-Ming Hsu and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Ming‐Shen Dai i

Fields of papers citing papers by Ming‐Shen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Shen Dai. 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‐Shen Dai. The network helps show where Ming‐Shen Dai may publish in the future.

Countries citing papers authored by Ming‐Shen Dai

Since Specialization
Citations

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