Xiaoshan Chai

402 citations
16 papers · 272 indexed · h-index 11
Topics
Reproductive System and Pregnancy (7 papers)Endometriosis Research and Treatment (6 papers)Epigenetics and DNA Methylation (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xiaoshan Chai

16 papers receiving 262 citations

Peers

Xiaoshan Chai
Comparison fields: 5 of 48
  • Reproductive Medicine 94
  • Immunology 92
  • Molecular Biology 91
  • Oncology 76
  • Public Health, Environmental and Occupational Health 60
Replace Marcin Jędryka with:
Marcin Jędryka Poland
Qiaoni Yu China
A.V. Asaturova Russia
Vilius Rudaitis Lithuania
Salar Pashangzadeh Iran
Jordan M. Newell United States
Lily Xu United States
Eric Daiter United States
Se-Te Joseph Huang United States
P. A. Brioschi Switzerland
Xiaoshan Chai relative to Marcin Jędryka Poland Marcin Jędryka's profile →
Citations per field
00.5×2.6×
Marcin Jędryka · 1×
Citations per year

Countries citing papers authored by Xiaoshan Chai

Since Specialization
Citations

This map shows the geographic impact of Xiaoshan Chai'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 Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshan Chai more than expected).

Fields of papers citing papers by Xiaoshan Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoshan Chai. 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 Chai. The network helps show where Xiaoshan Chai may publish in the future.

Co-authorship network of co-authors of Xiaoshan Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshan Chai. A scholar is included among the top collaborators of Xiaoshan Chai 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 Chai. Xiaoshan Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 4
3 12
4 6
5 32
6 25
7 15
8 12
9 14
10 31
11 4
12 8
13 32
14
Overexpression of MEF2D contributes to oncogenic malignancy and chemotherapeutic resistance in ovarian carcinoma.
14
15 46
16 15

About Xiaoshan Chai

Xiaoshan Chai is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 16 papers that have together received 272 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), Endometriosis Research and Treatment (6 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Reproductive Medicine (94 citations), Obstetrics and Gynecology (44 citations) and Immunology (92 citations). Xiaoshan Chai has collaborated with scholars based in China and United States. Frequent co-authors include Xianqing Wu, Yongjing Zhang, Guangshi Tao, Yan Yi, Biliang Hu, Jianlin Chen, Shengnan Chen, Wen Yuan, Yahong Wu and Ying Jiang. Their work appears in journals such as Life Sciences, Cell Death and Disease and Drug Metabolism and Disposition.

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.

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