Xiaolin Tu
Impact in
-
- Bone health and osteoporosis research
- Molecular Biology top 2%
- Bone Metabolism and Diseases
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- TGF-β signaling in diseases
- Hedgehog Signaling Pathway Studies
Papers in
- Genetics 5
- Mesenchymal stem cell research 4
- Co-authors
- Fanxin LongMatthew J. HiltonKyu Sang JoengHongliang HuXimei WuTeresita BellidoLilian I. PlotkinDavid M. Ornitz
- Journals
- International Journal of Molecular Sciences (4 papers)Developmental Biology (3 papers)Bone (2 papers)PLoS Genetics (2 papers)Fish Pathology (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaolin Tu
41 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Orthopedics and Sports Medicine 431
- Molecular Biology 2.7k
- Oncology 738
- Rheumatology 403
- Cancer Research 374
Countries citing papers authored by Xiaolin Tu
This map shows the geographic impact of Xiaolin Tu'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 Xiaolin Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Tu more than expected).
Fields of papers citing papers by Xiaolin Tu
This network shows the impact of papers produced by Xiaolin Tu. 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 Xiaolin Tu. The network helps show where Xiaolin Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolin Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 32 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 60 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 17 | |
| 11 | 2016 | 32 | |
| 12 | Parathyroid hormone receptor signaling induces bone resorption in the adult skeleton by directly regulating the RANKL gene in osteocytes | 2014 | 3 |
| 13 | 2014 | 131 | |
| 14 | 2014 | 119 | |
| 15 | 2012 | 78 | |
| 16 | 2008 | 392 | |
| 17 | 2008 | 52 | |
| 18 | 2007 | 78 | |
| 19 | 2007 | 247 | |
| 20 | 2003 | 76 |
About Xiaolin Tu
Xiaolin Tu is a scholar working on Orthopedics and Sports Medicine, Genetics, Developmental Biology, Rheumatology and Molecular Biology, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (12 papers), Bone Tissue Engineering Materials (10 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Bone health and treatments (6 papers), TGF-β signaling in diseases (5 papers), 3D Printing in Biomedical Research (4 papers), Hedgehog Signaling Pathway Studies (4 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (431 citations), Molecular Biology (2.7k citations), Oncology (738 citations), Rheumatology (403 citations) and Cancer Research (374 citations). Xiaolin Tu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Fanxin Long, Matthew J. Hilton, Kyu Sang Joeng, Hongliang Hu, Ximei Wu, Teresita Bellido, Lilian I. Plotkin, David M. Ornitz, Kai Yu and David A. Williams. Their work appears in journals such as International Journal of Molecular Sciences, Developmental Biology, Bone, PLoS Genetics and Fish Pathology.
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.