Langzhou Song

16 papers and 4.3k indexed citations i.

About

Langzhou Song is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Langzhou Song has authored 16 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Langzhou Song’s work include Influenza Virus Research Studies (10 papers), Immune Response and Inflammation (8 papers) and Respiratory viral infections research (6 papers). Langzhou Song is often cited by papers focused on Influenza Virus Research Studies (10 papers), Immune Response and Inflammation (8 papers) and Respiratory viral infections research (6 papers). Langzhou Song collaborates with scholars based in United States and Japan. Langzhou Song's co-authors include Michael R. Hobaugh, J. Eric Gouaux, Hagan Bayley, Stephen Cheley, Joan Conaway, Ping Wang, Michele Pagano, Claire Chu, Philip D. Jeffrey and Ning Zheng and has published in prestigious journals such as Nature, Science and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Langzhou Song i

Fields of papers citing papers by Langzhou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Langzhou Song

Since Specialization
Citations

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