Xiaoshan Liu
- Health, Toxicology and Mutagenesis top 0.5%
- Molecular Biology
- Pollution top 2%
- Cancer Research top 10%
- Plant Science top 10%
- Co-authors
- Kyungho ChoiKyunghee JiJikai JiangAreum JoHyo‐Bang MoonSangwoo LeeShunichi TakedaJohn P. Giesy
- Topics
- Toxic Organic Pollutants Impact (13 papers)Effects and risks of endocrine disrupting chemicals (9 papers)Birth, Development, and Health (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Xiaoshan Liu
89 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 136
- Health, Toxicology and Mutagenesis 1.2k
- Molecular Biology 657
- Pollution 518
- Cancer Research 278
- Plant Science 274
Countries citing papers authored by Xiaoshan Liu
This map shows the geographic impact of Xiaoshan Liu'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 Xiaoshan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshan Liu more than expected).
Fields of papers citing papers by Xiaoshan Liu
This network shows the impact of papers produced by Xiaoshan Liu. 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 Xiaoshan Liu. The network helps show where Xiaoshan Liu may publish in the future.
Co-authorship network of co-authors of Xiaoshan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshan Liu. A scholar is included among the top collaborators of Xiaoshan Liu 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 Xiaoshan Liu. Xiaoshan Liu 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 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 27 | |
| 13 | 15 | |
| 14 | 37 | |
| 15 | 113 | |
| 16 | 8 | |
| 17 | 44 | |
| 18 | [Sphingosine kinase 1 promotes glioma cell proliferation under hypoxia via calcium signaling]. | 1 |
| 19 | [Inhibition of tumor growth in tumor-bearing mice treated with matrine]. | 9 |
| 20 | Differentiation and Apoptosis in K562 Erythroleukemia Cells Induced by Matrine | 1 |
About Xiaoshan Liu
Xiaoshan Liu is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Biological Psychiatry, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (13 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and Birth, Development, and Health (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Pollution (518 citations) and Physiology (177 citations). Xiaoshan Liu has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Kyungho Choi, Kyunghee Ji, Jikai Jiang, Areum Jo, Hyo‐Bang Moon, Sangwoo Lee, Shunichi Takeda, John P. Giesy, Runjie Zhang and Younglim Kho. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.