Kenneth Wen

About

Kenneth Wen is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Kenneth Wen has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 25 papers in Molecular Biology and 25 papers in Oncology. Recurrent topics in Kenneth Wen’s work include Multiple Myeloma Research and Treatments (43 papers), Protein Degradation and Inhibitors (15 papers) and Peptidase Inhibition and Analysis (15 papers). Kenneth Wen is often cited by papers focused on Multiple Myeloma Research and Treatments (43 papers), Protein Degradation and Inhibitors (15 papers) and Peptidase Inhibition and Analysis (15 papers). Kenneth Wen collaborates with scholars based in United States, China and Taiwan. Kenneth Wen's co-authors include Kenneth C. Anderson, Yu‐Tzu Tai, Nikhil C. Munshi, Chirag Acharya, Gang An, Xiaoyan Feng, Li Zhang, Lugui Qiu, Lijie Xing and Paul G. Richardson and has published in prestigious journals such as Blood, Cancer Research and Clinical Cancer Research.

In The Last Decade

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

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Fields of papers citing papers by Kenneth Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kenneth Wen

Since Specialization

Citations

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