Hwa Dai

34 papers and 523 indexed citations i.

About

Hwa Dai is a scholar working on Molecular Biology, Plant Science and Mechanical Engineering. According to data from OpenAlex, Hwa Dai has authored 34 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Plant Science and 5 papers in Mechanical Engineering. Recurrent topics in Hwa Dai’s work include Photosynthetic Processes and Mechanisms (12 papers), Mitochondrial Function and Pathology (8 papers) and Welding Techniques and Residual Stresses (5 papers). Hwa Dai is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Mitochondrial Function and Pathology (8 papers) and Welding Techniques and Residual Stresses (5 papers). Hwa Dai collaborates with scholars based in Taiwan, China and United Kingdom. Hwa Dai's co-authors include Philip J. Withers, J. A. Francis, H. K. D. H. Bhadeshia, Kwen‐Sheng Chiang, H.J. Stone, Wann‐Neng Jane, Alison F. Mark, Ning Cheng, M. Turski and Joana Rebelo-Kornmeier and has published in prestigious journals such as Nucleic Acids Research, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Co-authorship network of co-authors of Hwa Dai i

Fields of papers citing papers by Hwa Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hwa Dai

Since Specialization
Citations

This map shows the geographic impact of Hwa 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 Hwa Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwa 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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2025