Fang Jin

121 papers and 1.3k indexed citations i.

About

Fang Jin is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Fang Jin has authored 121 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Artificial Intelligence and 16 papers in Epidemiology. Recurrent topics in Fang Jin’s work include Breastfeeding Practices and Influences (5 papers), Child Nutrition and Feeding Issues (5 papers) and RNA Interference and Gene Delivery (5 papers). Fang Jin is often cited by papers focused on Breastfeeding Practices and Influences (5 papers), Child Nutrition and Feeding Issues (5 papers) and RNA Interference and Gene Delivery (5 papers). Fang Jin collaborates with scholars based in China, United States and Japan. Fang Jin's co-authors include Naren Ramakrishnan, Edward J. Dougherty, Yang Cao, Parang Saraf, Yu‐Ming Chu, Mati ur Rahman, Guofeng Cao, Pál L. Vághy, Ali Nejat and Souparno Ghosh and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Immunology and Advanced Functional Materials.

In The Last Decade

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

Fields of papers citing papers by Fang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Jin

Since Specialization
Citations

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