Wang Ning-sheng

103 papers receiving 1.0k citations

Peers

Wang Ning-sheng
Comparison fields: 5 of 147
  • Complementary and alternative medicine 195
  • Pharmacology 182
  • Toxicology 32
  • Neurology 66
  • Industrial and Manufacturing Engineering 66
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Shiming Fang China
Xinfeng Zhao China
Yuxin Wang China
Yongqing Zhang China
Kwang‐Su Park South Korea
S. K. Banerjee India
Sandip K. Bandyopadhyay India
Xiaoqiong Liu China
Luan Shu China
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Citations per field
00.5×10×16.5×
Shiming Fang · 1×
Citations per year

Countries citing papers authored by Wang Ning-sheng

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ning-sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Ning-sheng, 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 Wang Ning-sheng Line = papers co-authored together Wang Ning-sheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201561
2 202156
3 201252
4 201148
5
[Effect of borneol on the intercellular tight junction and pinocytosis vesicles in vitro blood-brain barrier model].
200443
6 201536
7 200836
8 201128
9 201028
10 201228
11 201326
12 199826
13 201925
14 201725
15 201323
16 201620
17 201219
18 201718
19 201817
20 201417

About Wang Ning-sheng

Wang Ning-sheng is a scholar working on Pharmacology, Complementary and alternative medicine, Molecular Biology, Pharmacology and Atmospheric Science, having authored 108 papers that have together received 1.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (18 papers), Geology and Paleoclimatology Research (10 papers), Pharmacological Effects of Natural Compounds (10 papers), earthquake and tectonic studies (7 papers), Natural product bioactivities and synthesis (6 papers), Industrial Technology and Control Systems (6 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Complementary and alternative medicine (195 citations), Pharmacology (182 citations), Toxicology (32 citations), Neurology (66 citations) and Industrial and Manufacturing Engineering (66 citations). Wang Ning-sheng has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Suiqing Mi, Changhui Liu, Yanming Chen, Xiaotao Huang, Zheng Xia, Yanhong Li, Neng Li, Rodney Grapes, Hong‐Sen Yan and Yanhong Li. Their work appears in journals such as New Zealand Journal of Geology and Geophysics, Journal of Chromatography B, Journal of Ethnopharmacology, Journal of Chromatographic Science and The American Journal of Chinese Medicine.

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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