Ai‐Xin Song

17 papers and 412 indexed citations i.

About

Ai‐Xin Song is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ai‐Xin Song has authored 17 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Ai‐Xin Song’s work include Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Ai‐Xin Song is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Ai‐Xin Song collaborates with scholars based in China, United States and United Kingdom. Ai‐Xin Song's co-authors include Hong‐Yu Hu, Yuhang Zhang, Zi‐Ren Zhou, Chenjie Zhou, Shuai Liu, Donghai Lin, Yanru Deng, Hanqing Wang, Yong‐Guang Gao and Qingshan Fu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of Ai‐Xin Song i

Fields of papers citing papers by Ai‐Xin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ai‐Xin Song

Since Specialization
Citations

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