Jin Yan

14 papers and 383 indexed citations i.

About

Jin Yan is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jin Yan has authored 14 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jin Yan’s work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jin Yan is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jin Yan collaborates with scholars based in United States, China and Singapore. Jin Yan's co-authors include M. Lamar Seibenhener, Michael C. Wooten, Jianxiong Jiang, Marie W. Wooten, Jorge Moscat, Marı́a T. Diaz-Meco, Yifeng Du, Todd Scheuer, Venkat Giri Magupalli and William A. Catterall and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Cell Science.

In The Last Decade

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

Fields of papers citing papers by Jin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Yan

Since Specialization
Citations

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