Yi Jin

28 papers and 547 indexed citations i.

About

Yi Jin is a scholar working on Epidemiology, Hepatology and Cognitive Neuroscience. According to data from OpenAlex, Yi Jin has authored 28 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Hepatology and 5 papers in Cognitive Neuroscience. Recurrent topics in Yi Jin’s work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (8 papers) and Liver Disease Diagnosis and Treatment (5 papers). Yi Jin is often cited by papers focused on Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (8 papers) and Liver Disease Diagnosis and Treatment (5 papers). Yi Jin collaborates with scholars based in China, United States and United Kingdom. Yi Jin's co-authors include Ruinian Xu, Runduo Zhang, Hao Wang, Lina Ma, Xinyue Chen, Chengli Shen, Junfeng Lu, Yali Liu, Shan Ren and Zhi Zhou and has published in prestigious journals such as PLoS ONE, Hepatology and Catalysis Today.

In The Last Decade

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

Fields of papers citing papers by Yi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yi Jin

Since Specialization
Citations

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