Wei Gu

67 papers receiving 862 citations

Peers

Wei Gu
Comparison fields: 5 of 110
  • Complementary and alternative medicine 69
  • Pharmacology 136
  • Reproductive Medicine 53
  • Anesthesiology and Pain Medicine 35
  • Cancer Research 82
Replace M. Elba González-Mejía with:
M. Elba González-Mejía Mexico
David Krupa United States
Tomoaki Inazumi Japan
Xiaoming Liu China
Yusuke Shibuya Japan
Yiyuan Zhang China
Shenglan Wang China
Nélson Alexandre Kretzmann Filho Brazil
Chunmei Ma China
Marzena Skrzypczak-Zielińska Poland
Wei Gu relative to M. Elba González-Mejía Mexico M. Elba González-Mejía's profile →
Citations per field
00.5×3.0×
M. Elba González-Mejía · 1×
Citations per year

Countries citing papers authored by Wei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199652
2 200447
3 201545
4 199542
5 201340
6 202240
7 201738
8 200936
9 201232
10 201930
11
Triple-controlled oncolytic adenovirus expressing melittin to exert inhibitory efficacy on hepatocellular carcinoma.
201528
12 201724
13 199624
14 201821
15 201821
16 202320
17 201419
18 201719
19
Transcription elongation by RNA polymerase II: mechanism of SII activation.
199318
20 201918

About Wei Gu

Wei Gu is a scholar working on Complementary and alternative medicine, Toxicology, Occupational Therapy, Pharmacology and Orthopedics and Sports Medicine, having authored 74 papers that have together received 876 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (6 papers), HER2/EGFR in Cancer Research (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Complementary and Alternative Medicine Studies (4 papers), Antioxidants, Aging, Portulaca oleracea (4 papers), Virus-based gene therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Complementary and alternative medicine (69 citations), Pharmacology (136 citations), Reproductive Medicine (53 citations), Anesthesiology and Pain Medicine (35 citations) and Cancer Research (82 citations). Wei Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Norman B. Hecht, Changquan Ling, Fanfu Fang, Binbin Cheng, Min Li, Feng Huang, Peng Hao, Li Bai, Richard Oko and Mingye Zhao. Their work appears in journals such as Journal of Integrative Medicine, Scientific Reports, Pain Research and Management, Evidence-based Complementary and Alternative Medicine and Integrative Cancer Therapies.

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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