Moshi Song

68 papers and 4.2k indexed citations i.

About

Moshi Song is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Moshi Song has authored 68 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Aging. Recurrent topics in Moshi Song’s work include Mitochondrial Function and Pathology (15 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Telomeres, Telomerase, and Senescence (9 papers). Moshi Song is often cited by papers focused on Mitochondrial Function and Pathology (15 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Telomeres, Telomerase, and Senescence (9 papers). Moshi Song collaborates with scholars based in China, United States and Japan. Moshi Song's co-authors include Gerald W. Dorn, Guang‐Hui Liu, Jing Qu, Weiqi Zhang, Guohua Gong, Si Wang, Scot J. Matkovich, Yun Chen, Orian S. Shirihai and Katsuyoshi Mihara and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Moshi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshi Song

Since Specialization
Citations

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