Anzhi Dai

10 papers and 437 indexed citations i.

About

Anzhi Dai is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anzhi Dai has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anzhi Dai’s work include Mitochondrial Function and Pathology (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Anzhi Dai is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Anzhi Dai collaborates with scholars based in United States, Mexico and China. Anzhi Dai's co-authors include Ayako Makino, Brian T. Scott, Jorge Suárez, Wolfgang Dillmann, Tanja Diemer, Ying Han, Aninda Basu, Jason X.‐J. Yuan, Minglin Pan and Rui Guo and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Anzhi Dai i

Fields of papers citing papers by Anzhi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anzhi Dai

Since Specialization
Citations

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