Ming-Chung Wang

8 papers and 509 indexed citations i.

About

Ming-Chung Wang is a scholar working on Hematology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ming-Chung Wang has authored 8 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Ming-Chung Wang’s work include Multiple Myeloma Research and Treatments (2 papers), Hepatitis C virus research (2 papers) and Protein Degradation and Inhibitors (2 papers). Ming-Chung Wang is often cited by papers focused on Multiple Myeloma Research and Treatments (2 papers), Hepatitis C virus research (2 papers) and Protein Degradation and Inhibitors (2 papers). Ming-Chung Wang collaborates with scholars based in Taiwan and United States. Ming-Chung Wang's co-authors include Sheng-Fung Lin, Tsang-Wu Liu, Hwei‐Fang Tien, Ann‐Lii Cheng, Chiun Hsu, Pei–Jer Chen, Hui-Hua Hsiao, Johnson Lin, Wen-Li Hwang and Woei-Yau Kao and has published in prestigious journals such as Hepatology, Scientific Reports and Translational research.

In The Last Decade

Co-authorship network of co-authors of Ming-Chung Wang i

Fields of papers citing papers by Ming-Chung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming-Chung Wang

Since Specialization
Citations

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