Weihua Wu

688 citations
20 papers · 498 indexed · h-index 11
Topics
Cancer-related molecular mechanisms research (6 papers)Galectins and Cancer Biology (3 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Weihua Wu

20 papers receiving 491 citations

Peers

Weihua Wu
Comparison fields: 5 of 69
  • Molecular Biology 333
  • Cancer Research 115
  • Immunology 69
  • Cardiology and Cardiovascular Medicine 66
  • Cell Biology 59
Replace Tongju Guan with:
Tongju Guan United States
Li‐Hao Huang United States
Xiaolan Yi United States
Nermin Ali Japan
Srividya Velagapudi Switzerland
Lakshman Segar United States
Yiyan Zhou China
Petra Tollet‐Egnell Sweden
Jihong Jiang Canada
Weihua Wu relative to Tongju Guan United States Tongju Guan's profile →
Citations per field
00.5×1.5×1.8×
Tongju Guan · 1×
Citations per year

Countries citing papers authored by Weihua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Wu. A scholar is included among the top collaborators of Weihua Wu 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 Wu. Weihua Wu 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 1
2 31
3 5
4 15
5 8
6 9
7 13
8 19
9 22
10
[Aliskiren inhibits angiotensin II/angiotensin 1-7(Ang II/Ang1-7) signal pathway in rats with diabetic nephropathy].
15
11 1
12 39
13 1
14 38
15 3
16
Piwil 2 gene transfection changes the autophagy status in a rat model of diabetic nephropathy.
6
17 39
18 7
19 107
20 119

About Weihua Wu

Weihua Wu is a scholar working on Cancer Research, Biochemistry and Immunology, having authored 20 papers that have together received 498 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Galectins and Cancer Biology (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (333 citations) and Biochemistry (28 citations). Weihua Wu has collaborated with scholars based in China and United States. Frequent co-authors include Daniel Chen, Prem M. Sharma, Yvonne Y. Wu, Ping H. Wang, Tsun-Jui Liu, Yi-jin Xiao, Guiying Hong, Benjamin Schwartz, Bei Morrison and Yan Xu. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Journal of Ethnopharmacology.

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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