Xiaoting Liang
- Genetics top 0.5%
- Mesenchymal stem cell research 25
- Cancer Research top 2%
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Molecular Biology top 5%
- Extracellular vesicles in disease 5
- Epigenetics and DNA Methylation 5
- Aging top 5%
- Rehabilitation top 2%
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- Tissue Engineering and Regenerative Medicine 11
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- Autophagy in Disease and Therapy 7
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- Cardiac Fibrosis and Remodeling 7
- Journals
- Stem Cell Research & Therapy (5 papers)Cell Death and Disease (5 papers)Journal of Cellular and Molecular Medicine (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoting Liang
73 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 1.4k
- Cancer Research 700
- Molecular Biology 1.8k
- Aging 46
- Rehabilitation 171
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 26 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 35 | |
| 14 | 2021 | 0 | |
| 15 | 2021 | 43 | |
| 16 | 2020 | 110 | |
| 17 | Isovitexin Suppresses Cancer Stemness Property And Induces Apoptosis Of Osteosarcoma Cells By Disruption Of The DNMT1/miR-34a/Bcl-2 Axis | 2019 | 1 |
| 18 | 2019 | 17 | |
| 19 | 2016 | 82 | |
| 20 | 2014 | 237 |
About Xiaoting Liang
Xiaoting Liang is a scholar working on Genetics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (25 papers), Tissue Engineering and Regenerative Medicine (11 papers), MicroRNA in disease regulation (7 papers), Autophagy in Disease and Therapy (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Cancer-related molecular mechanisms research (6 papers), Extracellular vesicles in disease (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (700 citations) and Molecular Biology (1.8k 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, Fang Lin and Haiwei He. Their work appears in journals such as Stem Cell Research & Therapy, Cell Death and Disease, Journal of Cellular and Molecular Medicine, Scientific Reports and International Journal of Molecular 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.