Tie‐Lin Yang

140 papers and 4.0k indexed citations i.

About

Tie‐Lin Yang is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Tie‐Lin Yang has authored 140 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 73 papers in Genetics and 19 papers in Orthopedics and Sports Medicine. Recurrent topics in Tie‐Lin Yang’s work include Genetic Associations and Epidemiology (54 papers), Bone Metabolism and Diseases (27 papers) and Bone health and osteoporosis research (19 papers). Tie‐Lin Yang is often cited by papers focused on Genetic Associations and Epidemiology (54 papers), Bone Metabolism and Diseases (27 papers) and Bone health and osteoporosis research (19 papers). Tie‐Lin Yang collaborates with scholars based in China, United States and Yemen. Tie‐Lin Yang's co-authors include Shan‐Shan Dong, Yan Guo, Weiming He, Chi Zhang, Junyang Xu, Hong‐Wen Deng, Hui Shen, Robert R. Recker, Lei Zhang and Qing Tian and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Tie‐Lin Yang i

Fields of papers citing papers by Tie‐Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie‐Lin Yang

Since Specialization
Citations

This map shows the geographic impact of Tie‐Lin 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 Tie‐Lin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie‐Lin 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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2025