Weihua Shen

1.1k citations
33 papers · 682 indexed · h-index 15
Topics
PI3K/AKT/mTOR signaling in cancer (4 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Clinical Nutrition and Gastroenterology (3 papers)

In The Last Decade

Weihua Shen

30 papers receiving 668 citations

Peers

Weihua Shen
Comparison fields: 5 of 104
  • Molecular Biology 292
  • Cardiology and Cardiovascular Medicine 188
  • Oncology 104
  • Immunology 82
  • Genetics 77
Replace Wang Ya with:
Wang Ya China
Lidia Gackowska Poland
Yoko Kashida Japan
Soyoung Shin South Korea
Mengyuan Chen China
Annemette Thougaard Denmark
Raju Das United Kingdom
Shoichi Kado Japan
Zhiguang Tu China
Jufeng Xia Japan
Weihua Shen relative to Wang Ya China Wang Ya's profile →
Citations per field
00.5×3.9×
Wang Ya · 1×
Citations per year

Countries citing papers authored by Weihua Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Shen. A scholar is included among the top collaborators of Weihua Shen 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 Weihua Shen. Weihua Shen 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
#WorkIndexed citations
1 8
2 10
3 20
4 5
5 3
6 30
7 10
8 34
9
Dynamics of Groundwater Level in the Water Table Fluctuant Belt at the Lower Reaches of Heihe River
4
10
Teacher Professional Development in Britain under the View of Inclusive Education
0
11 193
12 54
13 12
14 8
15 43
16 1
17 24
18 17
19 16
20 24

About Weihua Shen

Weihua Shen is a scholar working on Endocrinology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 33 papers that have together received 682 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (188 citations), Toxicology (22 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Weihua Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Edward A. Liechty, Weinian Shou, Wuqiang Zhu, Mark H. Soonpaa, R. Mark Payne, Loren J. Field, Hanying Chen, Randall L. Caldwell, David W. Boyle and Scott C. Denne. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Circulation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026