Bin Ji

52 papers and 1.0k indexed citations i.

About

Bin Ji is a scholar working on Molecular Biology, Complementary and alternative medicine and Infectious Diseases. According to data from OpenAlex, Bin Ji has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Complementary and alternative medicine and 6 papers in Infectious Diseases. Recurrent topics in Bin Ji’s work include Advanced biosensing and bioanalysis techniques (11 papers), RNA Interference and Gene Delivery (8 papers) and Traditional Chinese Medicine Analysis (6 papers). Bin Ji is often cited by papers focused on Advanced biosensing and bioanalysis techniques (11 papers), RNA Interference and Gene Delivery (8 papers) and Traditional Chinese Medicine Analysis (6 papers). Bin Ji collaborates with scholars based in China, United States and Italy. Bin Ji's co-authors include Sai Bi, Shusheng Zhang, Zhipeng Zhang, Jun Maeda, Hideyoshi Harashima, Kaori Inoue, Hidetaka Akita, Makoto Higuchi, Tetsuya Suhara and Jie Song and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Bin Ji i

Fields of papers citing papers by Bin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Ji

Since Specialization
Citations

This map shows the geographic impact of Bin Ji'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 Bin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ji 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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2025