Liang-Ping Xia
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
-
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Colorectal Cancer Treatments and Studies
Papers in
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Colorectal Cancer Treatments and Studies 2
-
- RNA and protein synthesis mechanisms 1
- Bioactive Natural Diterpenoids Research 1
- Co-authors
- Xiao‐Feng Zhu (4 shared papers)Gong-Kan Feng (3 shared papers)Min Yan (3 shared papers)Linlin Wang (2 shared papers)Zhong Guan (2 shared papers)Zi-Jie Long (2 shared papers)Jie Xu (2 shared papers)Quentin Liu (2 shared papers)
- Journals
- Chinese Journal of Cancer (3 papers)Medical Oncology (2 papers)Journal of the National Comprehensive Cancer Network (1 paper)Clinical Cancer Research (1 paper)Carcinogenesis (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Liang-Ping Xia
12 papers receiving 428 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 103
- Oncology 136
- Cancer Research 56
- Pathology and Forensic Medicine 45
- Molecular Biology 183
Countries citing papers authored by Liang-Ping Xia
This map shows the geographic impact of Liang-Ping Xia'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 Liang-Ping Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Ping Xia more than expected).
Fields of papers citing papers by Liang-Ping Xia
This network shows the impact of papers produced by Liang-Ping Xia. 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 Liang-Ping Xia. The network helps show where Liang-Ping Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Ping Xia, 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 | 2019 | 85 | |
| 2 | 2008 | 83 | |
| 3 | 2011 | 70 | |
| 4 | 2009 | 50 | |
| 5 | 2010 | 43 | |
| 6 | 2019 | 33 | |
| 7 | 2009 | 32 | |
| 8 | 2010 | 20 | |
| 9 | 2010 | 9 | |
| 10 | 2010 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2009 | 2 | |
| 13 | 2016 | 0 |
About Liang-Ping Xia
Liang-Ping Xia is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Cell Biology, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (2 papers), Male Breast Health Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal Cancer Treatments and Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Biomarkers in Disease Mechanisms (1 paper), Bioactive Natural Diterpenoids Research (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Cell Biology (103 citations), Oncology (136 citations), Cancer Research (56 citations), Pathology and Forensic Medicine (45 citations) and Molecular Biology (183 citations). Liang-Ping Xia has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Xiao‐Feng Zhu, Gong-Kan Feng, Min Yan, Linlin Wang, Zhong Guan, Zi-Jie Long, Jie Xu, Quentin Liu, Yan Zhao and Dandan Li. Their work appears in journals such as Chinese Journal of Cancer, Medical Oncology, Journal of the National Comprehensive Cancer Network, Clinical Cancer Research and Carcinogenesis.
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.