Hui Wen

18 papers and 353 indexed citations i.

About

Hui Wen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Hui Wen has authored 18 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Hui Wen’s work include Therapeutic Advances in Cystic Fibrosis Research (7 papers), Neonatal Respiratory Health Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Hui Wen is often cited by papers focused on Therapeutic Advances in Cystic Fibrosis Research (7 papers), Neonatal Respiratory Health Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Hui Wen collaborates with scholars based in China, United States and Hong Kong. Hui Wen's co-authors include Jeong S. Hong, Eric J. Sorscher, Jennifer S. Guimbellot, Chun‐Sen Ma, Tapan Mehta, Stephen W. Erickson, Grier P. Page, Xinli Wang, Lianwu Fu and Shuiqiao Yuan and has published in prestigious journals such as Cell, Nature Communications and Development.

In The Last Decade

Co-authorship network of co-authors of Hui Wen i

Fields of papers citing papers by Hui Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui Wen

Since Specialization
Citations

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