Gang Nan

25 papers and 657 indexed citations i.

About

Gang Nan is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Gang Nan has authored 25 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Gang Nan’s work include Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Gang Nan is often cited by papers focused on Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Gang Nan collaborates with scholars based in China, United States and The Netherlands. Gang Nan's co-authors include Zhi‐Nan Chen, Huijie Bian, Jiao Wu, Wei Ding, Ruo Chen, Jian‐Li Jiang, Fei Feng, Zhuan Feng, Xiuxuan Sun and Jiejie Geng and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Gang Nan i

Fields of papers citing papers by Gang Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Nan

Since Specialization
Citations

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