Pengzhi Shi

21 papers and 245 indexed citations i.

About

Pengzhi Shi is a scholar working on Pathology and Forensic Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Pengzhi Shi has authored 21 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 8 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Pengzhi Shi’s work include Spine and Intervertebral Disc Pathology (9 papers), Musculoskeletal pain and rehabilitation (5 papers) and Mesenchymal stem cell research (3 papers). Pengzhi Shi is often cited by papers focused on Spine and Intervertebral Disc Pathology (9 papers), Musculoskeletal pain and rehabilitation (5 papers) and Mesenchymal stem cell research (3 papers). Pengzhi Shi collaborates with scholars based in China, Hong Kong and Russia. Pengzhi Shi's co-authors include Anran Zhang, Kangcheng Zhao, Xinmin Feng, Yuhang Chen, Yukun Zhang, Yuhang Chen, Xuhua Lu, Xiaofei Cheng, Liang Zhang and Yongxin Ren and has published in prestigious journals such as The FASEB Journal, Journal of Controlled Release and Small.

In The Last Decade

Co-authorship network of co-authors of Pengzhi Shi i

Fields of papers citing papers by Pengzhi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengzhi Shi

Since Specialization
Citations

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