Gang Long

22 papers and 1.1k indexed citations i.

About

Gang Long is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Gang Long has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Hepatology and 8 papers in Molecular Biology. Recurrent topics in Gang Long’s work include Hepatitis C virus research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Insect Resistance and Genetics (6 papers). Gang Long is often cited by papers focused on Hepatitis C virus research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Insect Resistance and Genetics (6 papers). Gang Long collaborates with scholars based in China, Germany and The Netherlands. Gang Long's co-authors include Ralf Bartenschlager, Marie–Sophie Hiet, Jacomine Krijnse‐Locker, Petr Chlanda, Patrice André, Britta Brügger, Andreas Merz, Felix Wieland, Volker Lohmann and Stephanie Kallis and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

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

Fields of papers citing papers by Gang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Long

Since Specialization
Citations

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