Long Gui

28 papers and 454 indexed citations i.

About

Long Gui is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Long Gui has authored 28 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Long Gui’s work include Microtubule and mitosis dynamics (5 papers), Genetic and Kidney Cyst Diseases (5 papers) and Influenza Virus Research Studies (4 papers). Long Gui is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Genetic and Kidney Cyst Diseases (5 papers) and Influenza Virus Research Studies (4 papers). Long Gui collaborates with scholars based in United States, China and France. Long Gui's co-authors include Kelly K. Lee, Anne Moscona, Matteo Porotto, Alexander Mileant, James A. Williams, Daniela Nicastro, Antonello Pessi, Alessia Santoprete, Aparna Talekar and Eric M. Jurgens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Long Gui i

Fields of papers citing papers by Long Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Gui

Since Specialization
Citations

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