Xiaoting Liang
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 5
- RNA Research and Splicing 4
- Genetics 25
- Mesenchymal stem cell research 25
- Co-authors
- Yuelin Zhang (30 shared papers)Qizhou Lian (14 shared papers)Yue Ding (8 shared papers)Hung‐Fat Tse (9 shared papers)Zhongmin Liu (14 shared papers)Yimei Hong (15 shared papers)Yingmin Liang (4 shared papers)Jing Liu (1 shared paper)
- Journals
- Stem Cell Research & Therapy (5 papers)Cell Death and Disease (5 papers)Journal of Cellular and Molecular Medicine (3 papers)World Journal of Stem Cells (3 papers)Aging (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoting Liang
74 papers receiving 3.7k citations
Xiaoting Liang's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 1.3k
- Cancer Research 598
- Aging 48
- Molecular Biology 1.7k
- Surgery 816
Countries citing papers authored by Xiaoting Liang
This map shows the geographic impact of Xiaoting Liang'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 Xiaoting Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Liang more than expected).
Fields of papers citing papers by Xiaoting Liang
This network shows the impact of papers produced by Xiaoting Liang. 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 Xiaoting Liang. The network helps show where Xiaoting Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Paracrine Mechanisms of Mesenchymal Stem Cell-Based Therapy: Current Status and Perspectives Hit paper breakdown → | 2013 | 733 |
| 2 | 2014 | 247 | |
| 3 | 2016 | 221 | |
| 4 | 2020 | 207 | |
| 5 | 2021 | 115 | |
| 6 | 2020 | 115 | |
| 7 | 2020 | 112 | |
| 8 | 2015 | 103 | |
| 9 | 2015 | 100 | |
| 10 | 2018 | 99 | |
| 11 | 2020 | 95 | |
| 12 | 2020 | 89 | |
| 13 | 2019 | 87 | |
| 14 | 2016 | 86 | |
| 15 | 2016 | 84 | |
| 16 | 2018 | 83 | |
| 17 | 2015 | 78 | |
| 18 | 2021 | 74 | |
| 19 | 2012 | 64 | |
| 20 | 2019 | 59 |
About Xiaoting Liang
Xiaoting Liang is a scholar working on Molecular Biology, Genetics, Surgery, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (25 papers), Tissue Engineering and Regenerative Medicine (10 papers), MicroRNA in disease regulation (8 papers), Autophagy in Disease and Therapy (7 papers), Cancer-related molecular mechanisms research (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Extracellular vesicles in disease (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (1.3k citations), Cancer Research (598 citations), Aging (48 citations), Molecular Biology (1.7k citations) and Surgery (816 citations). Xiaoting Liang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yuelin Zhang, Qizhou Lian, Yue Ding, Hung‐Fat Tse, Zhongmin Liu, Yimei Hong, Yingmin Liang, Jing Liu, Haiwei He and Fang Lin. Their work appears in journals such as Stem Cell Research & Therapy, Cell Death and Disease, Journal of Cellular and Molecular Medicine, World Journal of Stem Cells and Aging.
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.