Gaojie Song

43 papers and 1.1k indexed citations i.

About

Gaojie Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gaojie Song has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gaojie Song’s work include Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Gaojie Song is often cited by papers focused on Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Gaojie Song collaborates with scholars based in China, United States and Singapore. Gaojie Song's co-authors include Timothy A. Springer, Raymond C. Stevens, Chris de Graaf, Chafen Lu, Adem C. Koksal, Noreen J. Evans, Lie Chen, Kezhang Qin, Beili Wu and Fan Wu 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 Gaojie Song i

Fields of papers citing papers by Gaojie Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaojie Song

Since Specialization
Citations

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