Deying Zhang

92 papers and 1.6k indexed citations i.

About

Deying Zhang is a scholar working on Surgery, Molecular Biology and Urology. According to data from OpenAlex, Deying Zhang has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 25 papers in Molecular Biology and 18 papers in Urology. Recurrent topics in Deying Zhang’s work include Urological Disorders and Treatments (17 papers), Tissue Engineering and Regenerative Medicine (14 papers) and Renal and related cancers (12 papers). Deying Zhang is often cited by papers focused on Urological Disorders and Treatments (17 papers), Tissue Engineering and Regenerative Medicine (14 papers) and Renal and related cancers (12 papers). Deying Zhang collaborates with scholars based in China, United States and Russia. Deying Zhang's co-authors include Guanghui Wei, Yu‐Hwa Lo, Yuanyuan Zhang, Jaehyuck Choi, Victor Lien, Tao Lin, Yevgeny Berdichevsky, Dawei He, Peng Li and Fengxia Ding and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Advanced Drug Delivery Reviews.

In The Last Decade

Co-authorship network of co-authors of Deying Zhang i

Fields of papers citing papers by Deying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deying Zhang

Since Specialization
Citations

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