Shaohua Yang

901 total citations
26 papers, 707 citations indexed

About

Shaohua Yang is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shaohua Yang has authored 26 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shaohua Yang's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Shaohua Yang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Shaohua Yang collaborates with scholars based in China, United States and United Kingdom. Shaohua Yang's co-authors include Wenjun Li, Guoguang Yang, James H‐C. Wang, Savio L‐Y. Woo, Fengyan Jia, David A. Stone, Huijuan Zhu, Li Zhou, Shuai Han and Weiwei Wang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Shaohua Yang

25 papers receiving 697 citations

Peers

Shaohua Yang
Comparison fields: 5 of 86
  • Molecular Biology 285
  • Surgery 144
  • Orthopedics and Sports Medicine 131
  • Cancer Research 127
  • Neurology 78
Replace Shaohui Zong with:
Shaohui Zong China
Franziska Busch Germany
Zhuojing Luo China
Qin Bian China
Yuehu Han China
Yu Hou China
Haiyan Zhang China
Chongan Huang China
Xian Jin China
Y. KISHIDA Japan
Shaohui Zong China View profile →
Citations per field, relative to Shaohua Yang
Shaohua Yang · 1×
Citations per year, relative to Shaohua Yang
Shaohua Yang · 1×

Countries citing papers authored by Shaohua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Yang. A scholar is included among the top collaborators of Shaohua 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 Shaohua Yang. Shaohua Yang 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 3
2 2
3 3
4 9
5 34
6 8
7 1
8 8
9 4
10 14
11 10
12 1
13 117
14 78
15 37
16 57
17 54
18 145
19 62
20 13

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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