Gang Pan

27 papers and 624 indexed citations i.

About

Gang Pan is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gang Pan has authored 27 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Gang Pan’s work include Genetic Associations and Epidemiology (5 papers), Lipid metabolism and biosynthesis (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Gang Pan is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Lipid metabolism and biosynthesis (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Gang Pan collaborates with scholars based in Sweden, Poland and Denmark. Gang Pan's co-authors include Claes Wadelius, Marco Cavalli, Weronica E. Ek, Torgny Karlsson, Åsa Johansson, Julia Höglund, Mathias Rask‐Andersen, Dong Pei, Junpei Zhang and Qingguo Ma and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Gang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Pan

Since Specialization
Citations

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