Can Si

21 papers and 295 indexed citations i.

About

Can Si is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Can Si has authored 21 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Plant Science and 8 papers in Pharmacology. Recurrent topics in Can Si’s work include Plant Molecular Biology Research (17 papers), Plant Gene Expression Analysis (15 papers) and Biological and pharmacological studies of plants (6 papers). Can Si is often cited by papers focused on Plant Molecular Biology Research (17 papers), Plant Gene Expression Analysis (15 papers) and Biological and pharmacological studies of plants (6 papers). Can Si collaborates with scholars based in China and Japan. Can Si's co-authors include Chunmei He, Jun Duan, Jaime A. Teixeira da Silva, Zhenming Yu, Conghui Zhao, Haobin Wang, Mingze Zhang, Mingzhi Li, Wei Dong and Xiaoming Zhang and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of Can Si i

Fields of papers citing papers by Can Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Si

Since Specialization
Citations

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