Ying Wan

118 papers and 3.8k indexed citations i.

About

Ying Wan is a scholar working on Biomaterials, Biomedical Engineering and Molecular Medicine. According to data from OpenAlex, Ying Wan has authored 118 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomaterials, 49 papers in Biomedical Engineering and 23 papers in Molecular Medicine. Recurrent topics in Ying Wan’s work include Bone Tissue Engineering Materials (27 papers), Electrospun Nanofibers in Biomedical Applications (26 papers) and Silk-based biomaterials and applications (21 papers). Ying Wan is often cited by papers focused on Bone Tissue Engineering Materials (27 papers), Electrospun Nanofibers in Biomedical Applications (26 papers) and Silk-based biomaterials and applications (21 papers). Ying Wan collaborates with scholars based in China, Canada and United States. Ying Wan's co-authors include Hua Wu, Bo Xiao, Jiaoyan Liu, Wen Di-jiang, Xiaoying Cao, Hua Wu, Siqin Dalai, Jingjing Wu, Quan Wu and Xiangliang Yang and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Biomaterials.

In The Last Decade

Co-authorship network of co-authors of Ying Wan i

Fields of papers citing papers by Ying Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Wan

Since Specialization
Citations

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