Weili Wang

23 papers and 623 indexed citations i.

About

Weili Wang is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Weili Wang has authored 23 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Hematology and 7 papers in Cell Biology. Recurrent topics in Weili Wang’s work include PI3K/AKT/mTOR signaling in cancer (5 papers), Acute Myeloid Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Weili Wang is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Acute Myeloid Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Weili Wang collaborates with scholars based in China, United States and Taiwan. Weili Wang's co-authors include Weiping Yuan, Tao Cheng, Bing Liu, Zhuan Li, Yanli Ni, Jie Zhou, Xiaohuan Mu, Wenyan He, Yu Lan and Fuyin Xiong and has published in prestigious journals such as Nature, Blood and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Weili Wang i

Fields of papers citing papers by Weili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weili Wang

Since Specialization
Citations

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