Xuan Shao

1.5k total citations
60 papers, 1.1k citations indexed

About

Xuan Shao is a scholar working on Molecular Biology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Xuan Shao has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 27 papers in Obstetrics and Gynecology and 16 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Xuan Shao's work include Pregnancy and preeclampsia studies (27 papers), Birth, Development, and Health (13 papers) and Reproductive System and Pregnancy (12 papers). Xuan Shao is often cited by papers focused on Pregnancy and preeclampsia studies (27 papers), Birth, Development, and Health (13 papers) and Reproductive System and Pregnancy (12 papers). Xuan Shao collaborates with scholars based in China, United Kingdom and United States. Xuan Shao's co-authors include Yanling Wang, Yu‐xia Li, Yangyu Zhao, Yongqing Wang, Yeling Ma, Guangming Cao, Feiyang Wang, Peng Xu, Chun Peng and Rongcan Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrine Reviews and Scientific Reports.

In The Last Decade

Xuan Shao

57 papers receiving 1.1k citations

Peers

Xuan Shao
Comparison fields: 5 of 103
  • Obstetrics and Gynecology 510
  • Molecular Biology 494
  • Immunology 343
  • Cancer Research 223
  • Pediatrics, Perinatology and Child Health 215
Replace Tadashi Goto with:
Tadashi Goto Japan
Ziyan Jiang China
Yuko Arita United States
Brian T. Pentecost United States
G Adessi France
Katja Hummitzsch Australia
Huijun Chen China
Marie‐Claude Gendron France
Thomas R. Koszalka United States
Linlin Sui China
Tadashi Goto Japan View profile →
Citations per field, relative to Xuan Shao
Xuan Shao · 1×
Citations per year, relative to Xuan Shao
Xuan Shao · 1×

Countries citing papers authored by Xuan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Shao

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 13
3 0
4 2
5 7
6 15
7 84
8 105
9 23
10 22
11 1
12 31
13 8
14 18
15 2
16 32
17 89
18 5
19 3
20 16

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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