Shi Shi

58 papers and 669 indexed citations i.

About

Shi Shi is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shi Shi has authored 58 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Plant Science and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shi Shi’s work include Genomics and Phylogenetic Studies (6 papers), Plant and Fungal Species Descriptions (6 papers) and Ethnobotanical and Medicinal Plants Studies (5 papers). Shi Shi is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Plant and Fungal Species Descriptions (6 papers) and Ethnobotanical and Medicinal Plants Studies (5 papers). Shi Shi collaborates with scholars based in China, Nepal and United States. Shi Shi's co-authors include Peifeng Zhang, Xinhua Zhu, Yungen Xu, Jing Niu, Qihua Zhu, Qiang Fan, Shengen Liao, Iokfai Cheang, Haifeng Zhang and Xinyi Lu and has published in prestigious journals such as Advanced Functional Materials, Chemosphere and Journal of Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Shi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shi Shi

Since Specialization
Citations

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