Xingsheng Yang
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Reproductive Medicine top 2%
- Obstetrics and Gynecology top 2%
- Co-authors
- Beihua KongTing LiuBaoxia CuiQing ZhangMargaux J. KanisShan ZhaoYueyang LiuYang Liu
- Topics
- Ovarian cancer diagnosis and treatment (24 papers)Endometrial and Cervical Cancer Treatments (21 papers)Cervical Cancer and HPV Research (10 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xingsheng Yang
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 800
- Cancer Research 412
- Oncology 409
- Reproductive Medicine 334
- Obstetrics and Gynecology 325
Countries citing papers authored by Xingsheng Yang
This map shows the geographic impact of Xingsheng Yang'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 Xingsheng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingsheng Yang more than expected).
Fields of papers citing papers by Xingsheng Yang
This network shows the impact of papers produced by Xingsheng Yang. 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 Xingsheng Yang. The network helps show where Xingsheng Yang may publish in the future.
Co-authorship network of co-authors of Xingsheng Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xingsheng Yang. A scholar is included among the top collaborators of Xingsheng Yang 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 Xingsheng Yang. Xingsheng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 16 | |
| 5 | The Relationship Between Human Papillomavirus, OFD1 and Primary Ciliogenesis in the Progression of Oropharyngeal Cancer: A Retrospective Cohort Study | 3 |
| 6 | 25 | |
| 7 | 59 | |
| 8 | 66 | |
| 9 | 40 | |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 48 | |
| 13 | Enrichment and characterization of ovarian cancer stem cells and its potential clinical application | 1 |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 30 | |
| 17 | 45 | |
| 18 | QTL analysis of spike traits in an recombinant inbred lines (RILs) population derived from the cross of Triticum polonicum × T. aestivum line Zhong 13. | 1 |
| 19 | Expressions of MicroRNA-21 and PTEN in Ovarian Epithelial Carcinomas and Their Clinical Significance | 1 |
| 20 | 3 |
About Xingsheng Yang
Xingsheng Yang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (24 papers), Endometrial and Cervical Cancer Treatments (21 papers) and Cervical Cancer and HPV Research (10 papers). The work is most often cited by research in Obstetrics and Gynecology (325 citations), Reproductive Medicine (334 citations) and Cancer Research (412 citations). Xingsheng Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Beihua Kong, Ting Liu, Baoxia Cui, Qing Zhang, Margaux J. Kanis, Shan Zhao, Yueyang Liu, Yang Liu, Yang Liu and Ruifen Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.
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.