Yin Wu

38 papers and 329 indexed citations i.

About

Yin Wu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Yin Wu has authored 38 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Hematology and 17 papers in Oncology. Recurrent topics in Yin Wu’s work include Multiple Myeloma Research and Treatments (18 papers), Peptidase Inhibition and Analysis (8 papers) and Protein Degradation and Inhibitors (7 papers). Yin Wu is often cited by papers focused on Multiple Myeloma Research and Treatments (18 papers), Peptidase Inhibition and Analysis (8 papers) and Protein Degradation and Inhibitors (7 papers). Yin Wu collaborates with scholars based in China, United States and Germany. Yin Wu's co-authors include Wen-Ming Chen, Wenming Chen, Ying Tian, Olga Goloubeva, Guorong Wang, Yuan Jian, Min Li‐Weber, Rebecca Köhler, Peter H. Krammer and Marco Giaisi and has published in prestigious journals such as Blood, Cancer and Environmental Pollution.

In The Last Decade

Co-authorship network of co-authors of Yin Wu i

Fields of papers citing papers by Yin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yin Wu

Since Specialization
Citations

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