Ning Zhu

1.4k citations
48 papers · 1.1k indexed · h-index 17
Topics
Traditional Chinese Medicine Analysis (4 papers)Cardiovascular Function and Risk Factors (4 papers)Natural Compounds in Disease Treatment (4 papers)
Partner nations
ChinaUnited StatesNorway

In The Last Decade

Ning Zhu

47 papers receiving 1.1k citations

Peers

Ning Zhu
Comparison fields: 5 of 113
  • Molecular Biology 411
  • Cancer Research 227
  • Immunology 125
  • Cardiology and Cardiovascular Medicine 104
  • Cellular and Molecular Neuroscience 98
Replace Tingting Zhu with:
Tingting Zhu China
Liping Yang China
Shihong Chen China
Nevena Jeremić Serbia
Dan Liao China
Xinyi Fang China
Dandan Zhang China
Bahattin Avcı Türkiye
Huey‐Ming Lo Taiwan
Ning Zhu relative to Tingting Zhu China Tingting Zhu's profile →
Citations per field
00.5×4.2×
Tingting Zhu · 1×
Citations per year

Countries citing papers authored by Ning Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Zhu. A scholar is included among the top collaborators of Ning Zhu 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 Ning Zhu. Ning Zhu 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 2
2 9
3 5
4 5
5 13
6 6
7 10
8 8
9 7
10 16
11 8
12 48
13 45
14 65
15
Hypertonic saline reduces lipopolysaccharide-induced mouse brain edema through inhibiting aquaporin 4 expression
4
16 2
17
Review of the Relationship between Polymorphisms of Cytochrome P450 2C19 and Clopidogrel Responsiveness
1
18 251
19 5
20 51

About Ning Zhu

Ning Zhu is a scholar working on Microbiology, Complementary and alternative medicine and Toxicology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Natural Compounds in Disease Treatment (4 papers). The work is most often cited by research in Cancer Research (227 citations), Complementary and alternative medicine (98 citations) and Microbiology (8 citations). Ning Zhu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Nan Sui, Xinmiao Huang, SF Chen, Zhifu Guo, Yanrong Wang, Yonghui Li, Chunlai Zeng, Leshuai W. Zhang, Xiao Lin and Antoine Bechara. Their work appears in journals such as PLoS ONE, Neuroscience and Annals of the Rheumatic Diseases.

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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