G C Wu

34 papers receiving 842 citations

Peers

G C Wu
Comparison fields: 5 of 86
  • Complementary and alternative medicine 184
  • Anesthesiology and Pain Medicine 94
  • Developmental Neuroscience 46
  • Physiology 226
  • Cellular and Molecular Neuroscience 166
Replace Chuanhan Zhang with:
Chuanhan Zhang China
Yonghao Yu China
Mathias Leinders Germany
Zongbin Song China
Song Cao China
Jun‐Qiang Si China
Wai Lydia Tai Hong Kong
Rodrigo Gutiérrez Chile
G C Wu relative to Chuanhan Zhang China Chuanhan Zhang's profile →
Citations per field
00.5×3.8×
Chuanhan Zhang · 1×
Citations per year

Countries citing papers authored by G C Wu

Since Specialization
Citations

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

Fields of papers citing papers by G C Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bispectral index monitoring prevent awareness during total intravenous anesthesia: a prospective, randomized, double-blinded, multi-center controlled trial.
201190
2 201471
3 199464
4 200463
5 199859
6 201352
7 200651
8 201346
9 201246
10 201041
11 200532
12 202030
13 201328
14 199726
15 200222
16 201319
17 199817
18
Naloxone and electroacunpunture (EA) improve the immune function of traumatized rats.
199815
19 199614
20 201814

About G C Wu

G C Wu is a scholar working on Complementary and alternative medicine, Physiology, Surgery, Pharmacology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 857 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (9 papers), Pain Mechanisms and Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), Healthcare and Venom Research (5 papers), Pharmacological Effects of Natural Compounds (3 papers), Glycosylation and Glycoproteins Research (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Complementary and alternative medicine (184 citations), Anesthesiology and Pain Medicine (94 citations), Developmental Neuroscience (46 citations), Physiology (226 citations) and Cellular and Molecular Neuroscience (166 citations). G C Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoxia Cao, Yingqi Wang, Wen‐Li Mi, Peter H. Tonner, Keith W. Miller, Kemi Cui, Q. Li, Qi‐Liang Mao‐Ying, Songnian Hu and Jianwei Jiang. Their work appears in journals such as Acupuncture & Electro-Therapeutics Research, Neuroscience, The Journal of Biochemistry, British Journal of Anaesthesia and Molecular Pharmacology.

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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