Peng Xiao

6.2k citations
151 papers · 4.1k indexed · h-index 34
    • Bone health and osteoporosis research 10
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 9
  • Genetics top 2%
    • Genetic Associations and Epidemiology 21
    • Genetic Mapping and Diversity in Plants and Animals 13
    • Genetic and phenotypic traits in livestock 9
    • Bone Metabolism and Diseases 17
    • RNA modifications and cancer 10

Peng Xiao

145 papers receiving 4.0k citations

Peers

Peng Xiao
Comparison fields: 5 of 153
  • Orthopedics and Sports Medicine 396
  • Biochemistry 262
  • Cancer Research 627
  • Genetics 834
  • Molecular Biology 1.8k
Replace Scott L. Taylor with:
Scott L. Taylor United States
Qing Zhong China
Peter Natesan Pushparaj Saudi Arabia
Hiroshi Sakaue Japan
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Kyu‐Shik Jeong South Korea
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Peng Xiao relative to Scott L. Taylor United States Scott L. Taylor's profile →
Citations per field
00.5×8.9×
Scott L. Taylor · 1×
Citations per year

Countries citing papers authored by Peng Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Peng Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peng Xiao Line = papers co-authored together Peng Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 202415
4 202417
5 20243
6 20242
7 20242
8 20242
9 202322
10 202354
11 202245
12 202047
13 2015101
14 201225
15 20124
16
Operative Treatment of Complex Acetabular Fractures
200915
17 20085
18 20076
19 20076
20 200447

About Peng Xiao

Peng Xiao is a scholar working on Genetics, Cancer Research and Orthopedics and Sports Medicine, having authored 151 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Bone Metabolism and Diseases (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), RNA modifications and cancer (10 papers), Bone health and osteoporosis research (10 papers), Cancer-related molecular mechanisms research (10 papers), Genetic and phenotypic traits in livestock (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (396 citations), Biochemistry (262 citations) and Cancer Research (627 citations). Peng Xiao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinsong Bao, Hong‐Wen Deng, Robert R. Recker, LJ Jin, Yan Lu, Yun Shen, Hui Shen, Dong-Hai Xiong, Yong‐Jun Liu and Wenliang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

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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