Nan Huang

31 papers and 542 indexed citations i.

About

Nan Huang is a scholar working on Molecular Biology, Dermatology and Surgery. According to data from OpenAlex, Nan Huang has authored 31 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Dermatology and 4 papers in Surgery. Recurrent topics in Nan Huang’s work include Skin Protection and Aging (3 papers), Acne and Rosacea Treatments and Effects (3 papers) and COVID-19 diagnosis using AI (3 papers). Nan Huang is often cited by papers focused on Skin Protection and Aging (3 papers), Acne and Rosacea Treatments and Effects (3 papers) and COVID-19 diagnosis using AI (3 papers). Nan Huang collaborates with scholars based in China, United States and The Netherlands. Nan Huang's co-authors include Diane F. Birt, Basil J. Nikolau, Patricia A. Murphy, Cathy Hauck, Haidong Kan, Xiao Cui, Xinye Zheng, Renjie Chen, Jing Cai and Huichu Li and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Environment International.

In The Last Decade

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

Fields of papers citing papers by Nan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Huang

Since Specialization
Citations

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