Ten Feizi

355 papers and 19.4k indexed citations i.

About

Ten Feizi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Ten Feizi has authored 355 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Molecular Biology, 103 papers in Radiology, Nuclear Medicine and Imaging and 97 papers in Organic Chemistry. Recurrent topics in Ten Feizi’s work include Glycosylation and Glycoproteins Research (240 papers), Monoclonal and Polyclonal Antibodies Research (103 papers) and Carbohydrate Chemistry and Synthesis (96 papers). Ten Feizi is often cited by papers focused on Glycosylation and Glycoproteins Research (240 papers), Monoclonal and Polyclonal Antibodies Research (103 papers) and Carbohydrate Chemistry and Synthesis (96 papers). Ten Feizi collaborates with scholars based in United Kingdom, United States and Japan. Ten Feizi's co-authors include Robert A. Childs, Wengang Chai, Alexander Lawson, Yan Liu, Mark S. Stoll, H.C. Gooi, Angelina S. Palma, Elizabeth F. Hounsell, Christine Galustian and Paul R. Crocker and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Ten Feizi i

Fields of papers citing papers by Ten Feizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ten Feizi

Since Specialization
Citations

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