Danli Wu

21 papers and 739 indexed citations i.

About

Danli Wu is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Danli Wu has authored 21 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in Danli Wu’s work include Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Danli Wu is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Danli Wu collaborates with scholars based in China, United States and Italy. Danli Wu's co-authors include Patricia Yotnda, Pengyue Zhang, Michael W. Pennington, Rajeev B. Tajhya, Xueyou Hu, Heike Wulff, Shyny Koshy, Redwan Huq, Christine Beeton and Cheng‐Cai Zhang and has published in prestigious journals such as PLoS ONE, Hepatology and Clinical Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Danli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danli Wu

Since Specialization
Citations

This map shows the geographic impact of Danli 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 Danli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli 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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2025