Chin-Chun Lu

10 papers and 961 indexed citations i.

About

Chin-Chun Lu is a scholar working on Molecular Biology, Hematology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chin-Chun Lu has authored 10 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chin-Chun Lu’s work include Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Chin-Chun Lu is often cited by papers focused on Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Chin-Chun Lu collaborates with scholars based in United States and Russia. Chin-Chun Lu's co-authors include Yimin Zou, Jun Shi, Adam M. Schmitt, Leslie A. King, Yaobo Liu, Xue‐Jun Song, Anna I Lyuksyutova, Gang Lu, Brian E. Cathers and Xiao‐Ming Xu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Chin-Chun Lu i

Fields of papers citing papers by Chin-Chun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Chun Lu. 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 Chin-Chun Lu. The network helps show where Chin-Chun Lu may publish in the future.

Countries citing papers authored by Chin-Chun Lu

Since Specialization
Citations

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