Dai-Chen Wu

6 papers and 938 indexed citations i.

About

Dai-Chen Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dai-Chen Wu has authored 6 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Immunology. Recurrent topics in Dai-Chen Wu’s work include Pancreatic and Hepatic Oncology Research (2 papers), Protein Tyrosine Phosphatases (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). Dai-Chen Wu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Protein Tyrosine Phosphatases (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). Dai-Chen Wu collaborates with scholars based in United States, Taiwan and India. Dai-Chen Wu's co-authors include John J. Lee, Huaijun Wang, Julia M. Nagle, Yves Boucher, James Chen, X. Shawn Liu, Shiwei Han, Jürgen K. Willmann, Phillip D. Jones and Philip A. Beachy and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Co-authorship network of co-authors of Dai-Chen Wu i

Fields of papers citing papers by Dai-Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai-Chen Wu

Since Specialization
Citations

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