Tie‐Lin Yang
- Molecular Biology top 5%
- Genetics top 1%
- Plant Science top 5%
- Cancer Research top 5%
- Orthopedics and Sports Medicine top 2%
- Co-authors
- Shan‐Shan DongWeiming HeYan GuoChi ZhangJunyang XuHong‐Wen DengHui ShenRobert R. Recker
- Topics
- Genetic Associations and Epidemiology (56 papers)Bone Metabolism and Diseases (27 papers)Bone health and osteoporosis research (19 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNature Neuroscience
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Tie‐Lin Yang
143 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 2.1k
- Genetics 1.8k
- Plant Science 702
- Cancer Research 552
- Orthopedics and Sports Medicine 433
Countries citing papers authored by Tie‐Lin Yang
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).
Fields of papers citing papers by Tie‐Lin Yang
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.
Co-authorship network of co-authors of Tie‐Lin Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Tie‐Lin Yang. A scholar is included among the top collaborators of Tie‐Lin Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tie‐Lin Yang. Tie‐Lin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format filesbreakdown → | 298 |
| 10 | 25 | |
| 11 | PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format filesbreakdown → | 1079 |
| 12 | Common variations within HACE1 gene and neuroblastoma susceptibility in a Southern Chinese population | 1 |
| 13 | Preparation of poly(β-L-malic acid)-based charge-conversional nanoconjugates for tumor-specific uptake and cellular delivery | 4 |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 18 | |
| 17 | 46 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 40 |
About Tie‐Lin Yang
Tie‐Lin Yang is a scholar working on Genetics, Orthopedics and Sports Medicine and Molecular Biology, having authored 149 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (56 papers), Bone Metabolism and Diseases (27 papers) and Bone health and osteoporosis research (19 papers). The work is most often cited by research in Genetics (1.8k citations), Orthopedics and Sports Medicine (433 citations) and Cancer Research (552 citations). Tie‐Lin Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shan‐Shan Dong, Weiming He, Yan Guo, Chi Zhang, Junyang Xu, Hong‐Wen Deng, Hui Shen, Robert R. Recker, Lei Zhang and Jingjing Ji. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.
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.