Yu Lan

44 papers and 1.0k indexed citations i.

About

Yu Lan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yu Lan has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Yu Lan’s work include Multiple Myeloma Research and Treatments (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (6 papers). Yu Lan is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (6 papers). Yu Lan collaborates with scholars based in China, United States and Italy. Yu Lan's co-authors include Xinlin Wei, Yuanfeng Wang, Shu-Juan Zhao, Xiaohua Ma, Qiang Wan, Pingfan Li, Pu Jing, Jianbo Xiao, Xiang‐Guang Wu and Guisen Zhang and has published in prestigious journals such as Chemical Communications, Food Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Yu Lan i

Fields of papers citing papers by Yu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Lan

Since Specialization
Citations

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