Fa-Jun Nan

18 papers and 455 indexed citations i.

About

Fa-Jun Nan is a scholar working on Oncology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Fa-Jun Nan has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in Fa-Jun Nan’s work include Peptidase Inhibition and Analysis (13 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Neuropeptides and Animal Physiology (6 papers). Fa-Jun Nan is often cited by papers focused on Peptidase Inhibition and Analysis (13 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Neuropeptides and Animal Physiology (6 papers). Fa-Jun Nan collaborates with scholars based in China and United States. Fa-Jun Nan's co-authors include Jing-Ya Li, Qi-Zhuang Ye, Ling‐Ling Chen, Jia Li, Qun‐Li Luo, Qingqing Huang, Min Gu, Xing-Zu Zhu, Yahui Zhang and Yihua Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Fa-Jun Nan i

Fields of papers citing papers by Fa-Jun Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Jun Nan. 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 Fa-Jun Nan. The network helps show where Fa-Jun Nan may publish in the future.

Countries citing papers authored by Fa-Jun Nan

Since Specialization
Citations

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