Jin Fu

71 papers and 8.7k indexed citations i.

About

Jin Fu is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Jin Fu has authored 71 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Pharmacology and 19 papers in Physiology. Recurrent topics in Jin Fu’s work include Cannabis and Cannabinoid Research (16 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Pain Mechanisms and Treatments (6 papers). Jin Fu is often cited by papers focused on Cannabis and Cannabinoid Research (16 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Pain Mechanisms and Treatments (6 papers). Jin Fu collaborates with scholars based in China, United States and Italy. Jin Fu's co-authors include Daniele Piomelli, Silvana Gaetani, Fariba Oveisi, Shi Du Yan, David M. Stern, Alex E. Roher, Huaijie Zhu, Ann Marie Schmidt, Peter P. Nawroth and Ming Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Jin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Fu

Since Specialization
Citations

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