Xiaojun Lian
Impact in
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Congenital heart defects research
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Pluripotent Stem Cells Research 37
- CRISPR and Genetic Engineering 17
- Congenital heart defects research 12
- Aging 1
- Co-authors
- Sean P. PalecekTimothy J. KampLaurie B. HazeltineKexian ZhuCheston HsiaoSamira M. AzarinXiaoping BaoGisela F. Wilson
- Journals
- Bioactive Materials (5 papers)Stem Cell Reports (5 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Bioengineering & Translational Medicine (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Xiaojun Lian
62 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.4k
- Biomaterials 494
- Surgery 1.6k
- Cellular and Molecular Neuroscience 657
- Biomedical Engineering 1.5k
Countries citing papers authored by Xiaojun Lian
This map shows the geographic impact of Xiaojun Lian'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 Xiaojun Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Lian more than expected).
Fields of papers citing papers by Xiaojun Lian
This network shows the impact of papers produced by Xiaojun Lian. 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 Xiaojun Lian. The network helps show where Xiaojun Lian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Lian, 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 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 186 | |
| 12 | 2020 | 51 | |
| 13 | 2020 | 27 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 19 | |
| 16 | 2013 | 58 | |
| 17 | 2013 | 25 | |
| 18 | 2012 | 32 | |
| 19 | 2011 | 66 | |
| 20 | Abstract 20724: Matrix-Promoted Efficient Cardiac Differentiation of Human iPS and ES Cells | 2010 | 3 |
About Xiaojun Lian
Xiaojun Lian is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Surgery and Biomedical Engineering, having authored 63 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (17 papers), Tissue Engineering and Regenerative Medicine (14 papers), Congenital heart defects research (12 papers), 3D Printing in Biomedical Research (8 papers), CAR-T cell therapy research (6 papers), Neuroscience and Neural Engineering (5 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Biomaterials (494 citations), Surgery (1.6k citations), Cellular and Molecular Neuroscience (657 citations) and Biomedical Engineering (1.5k citations). Xiaojun Lian has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Sean P. Palecek, Timothy J. Kamp, Laurie B. Hazeltine, Kexian Zhu, Cheston Hsiao, Samira M. Azarin, Xiaoping Bao, Gisela F. Wilson, Kunil Raval and Jianhua Zhang. Their work appears in journals such as Bioactive Materials, Stem Cell Reports, Scientific Reports, Nature Communications and Bioengineering & Translational Medicine.
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.