Huang Jin

About

Huang Jin is a scholar working on Pathology and Forensic Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Huang Jin has authored 67 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 10 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Huang Jin’s work include Tea Polyphenols and Effects (17 papers), Phytochemicals and Antioxidant Activities (6 papers) and Tryptophan and brain disorders (6 papers). Huang Jin is often cited by papers focused on Tea Polyphenols and Effects (17 papers), Phytochemicals and Antioxidant Activities (6 papers) and Tryptophan and brain disorders (6 papers). Huang Jin collaborates with scholars based in China, United States and Finland. Huang Jin's co-authors include Yijun Wang, Chung S. Yang, Jinsong Zhang, Le Zhang, Zhongwen Xie, Benedict R. Lucchesi, P. K. Gupta, A.W. Sleight, Daniel Granato and Xiaochun Wan and has published in prestigious journals such as Circulation, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

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

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Fields of papers citing papers by Huang Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Huang Jin

Since Specialization

Citations

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