Ming‐Chya Wu

28 papers and 356 indexed citations i.

About

Ming‐Chya Wu is a scholar working on Molecular Biology, Economics and Econometrics and Materials Chemistry. According to data from OpenAlex, Ming‐Chya Wu has authored 28 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Economics and Econometrics and 6 papers in Materials Chemistry. Recurrent topics in Ming‐Chya Wu’s work include Protein Structure and Dynamics (11 papers), Complex Systems and Time Series Analysis (7 papers) and RNA and protein synthesis mechanisms (6 papers). Ming‐Chya Wu is often cited by papers focused on Protein Structure and Dynamics (11 papers), Complex Systems and Time Series Analysis (7 papers) and RNA and protein synthesis mechanisms (6 papers). Ming‐Chya Wu collaborates with scholars based in Taiwan, United States and Slovakia. Ming‐Chya Wu's co-authors include Chin‐Kun Hu, N. Sh. Izmailian, Ming-Chang Huang, Thomas C. Chiang, Ján Buša, Shura Hayryan, Norden E. Huang, K. B. Oganesyan, Jozef Džurina and Ján Plavka and has published in prestigious journals such as The Astrophysical Journal, Physical Review B and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Ming‐Chya Wu i

Fields of papers citing papers by Ming‐Chya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming‐Chya Wu

Since Specialization
Citations

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