Sen Yang

66 papers and 1.3k indexed citations i.

About

Sen Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sen Yang has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Sen Yang’s work include Cancer-related molecular mechanisms research (13 papers), Machine Learning in Bioinformatics (10 papers) and RNA modifications and cancer (8 papers). Sen Yang is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Machine Learning in Bioinformatics (10 papers) and RNA modifications and cancer (8 papers). Sen Yang collaborates with scholars based in China, United States and Hong Kong. Sen Yang's co-authors include Qiming Wang, Hongle Li, Shuhan Sun, Weiping Zhou, Shengxian Yuan, Xuan Wu, Jing Han, Yuan Yang, Qi-fei Tao and Fu Yang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Sen Yang i

Fields of papers citing papers by Sen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sen Yang

Since Specialization
Citations

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