Guang-Yao Fan

29 papers and 389 indexed citations i.

About

Guang-Yao Fan is a scholar working on Molecular Biology, Genetics and Archeology. According to data from OpenAlex, Guang-Yao Fan has authored 29 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Genetics and 3 papers in Archeology. Recurrent topics in Guang-Yao Fan’s work include Forensic and Genetic Research (16 papers), Molecular Biology Techniques and Applications (9 papers) and Genetic diversity and population structure (6 papers). Guang-Yao Fan is often cited by papers focused on Forensic and Genetic Research (16 papers), Molecular Biology Techniques and Applications (9 papers) and Genetic diversity and population structure (6 papers). Guang-Yao Fan collaborates with scholars based in China, United States and Japan. Guang-Yao Fan's co-authors include Lawrence B. Holzman, Steven E. Merritt, Peter E. Shaw, Monika Kortenjann, Yi Ye, Yiping Hou, Marina Mata, James A. Rillema, J. A. Rillema and Yijun Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Guang-Yao Fan i

Fields of papers citing papers by Guang-Yao Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Yao Fan. 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 Guang-Yao Fan. The network helps show where Guang-Yao Fan may publish in the future.

Countries citing papers authored by Guang-Yao Fan

Since Specialization
Citations

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