Gen Sheng Wu

87 papers and 6.4k indexed citations i.

About

Gen Sheng Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Gen Sheng Wu has authored 87 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 37 papers in Oncology and 16 papers in Immunology. Recurrent topics in Gen Sheng Wu’s work include Cell death mechanisms and regulation (30 papers), Cancer-related Molecular Pathways (28 papers) and Protein Tyrosine Phosphatases (11 papers). Gen Sheng Wu is often cited by papers focused on Cell death mechanisms and regulation (30 papers), Cancer-related Molecular Pathways (28 papers) and Protein Tyrosine Phosphatases (11 papers). Gen Sheng Wu collaborates with scholars based in United States, China and Japan. Gen Sheng Wu's co-authors include Wafik S. El‐Deiry, Juan Wang, Jun-Ying Zhou, Junying Zhou, Timothy F. Burns, Jing Xu, Xun Yuan, Kongming Wu, Juan Wang and Qian Chu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Gen Sheng Wu i

Fields of papers citing papers by Gen Sheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen Sheng 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 Gen Sheng Wu. The network helps show where Gen Sheng Wu may publish in the future.

Countries citing papers authored by Gen Sheng Wu

Since Specialization
Citations

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