Yan Bi

168 papers and 3.9k indexed citations i.

About

Yan Bi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Yan Bi has authored 168 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Endocrinology, Diabetes and Metabolism, 54 papers in Molecular Biology and 43 papers in Epidemiology. Recurrent topics in Yan Bi’s work include Diabetes Treatment and Management (29 papers), Liver Disease Diagnosis and Treatment (27 papers) and Metabolism, Diabetes, and Cancer (23 papers). Yan Bi is often cited by papers focused on Diabetes Treatment and Management (29 papers), Liver Disease Diagnosis and Treatment (27 papers) and Metabolism, Diabetes, and Cancer (23 papers). Yan Bi collaborates with scholars based in China, United States and Germany. Yan Bi's co-authors include Dalong Zhu, Pengzi Zhang, Yali Jing, Sunyinyan Tang, Jing Lü, Shanmei Shen, Wenhuan Feng, Hongdong Wang, Zhijuan Ge and Dalong Zhu and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Yan Bi i

Fields of papers citing papers by Yan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Bi

Since Specialization
Citations

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