Shu-Fen Wen

10 papers and 502 indexed citations i.

About

Shu-Fen Wen is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Shu-Fen Wen has authored 10 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Shu-Fen Wen’s work include Virus-based gene therapy research (9 papers), Cancer Research and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). Shu-Fen Wen is often cited by papers focused on Virus-based gene therapy research (9 papers), Cancer Research and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). Shu-Fen Wen collaborates with scholars based in United States, Italy and Belgium. Shu-Fen Wen's co-authors include Todd Machemer, Heidrun Engler, Erlinda Quijano, Thomas Schluep, Jeremy D. Heidel, Mark E. Davis, Suzie H. Pun, Aijie Liu, Nathalie C. Bellocq and Bart Van der Bruggen and has published in prestigious journals such as The Journal of Immunology, Virology and Molecular Therapy.

In The Last Decade

Co-authorship network of co-authors of Shu-Fen Wen i

Fields of papers citing papers by Shu-Fen Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Fen Wen. 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 Shu-Fen Wen. The network helps show where Shu-Fen Wen may publish in the future.

Countries citing papers authored by Shu-Fen Wen

Since Specialization
Citations

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