Wei Gu

68 papers receiving 888 citations

Peers

Wei Gu
Comparison fields: 5 of 107
  • Complementary and alternative medicine 63
  • Pharmacology 104
  • Reproductive Medicine 51
  • Anesthesiology and Pain Medicine 27
  • Orthopedics and Sports Medicine 37
Replace M. Elba González-Mejía with:
M. Elba González-Mejía Mexico
Yiyuan Zhang China
Xiaoming Liu China
Qun Zhao China
Marzena Skrzypczak-Zielińska Poland
Rauno J. Harvima Finland
Fateme Zare Iran
Nélson Alexandre Kretzmann Filho Brazil
Gong‐Hao He China
Slobodanka Mitrović Serbia
Wei Gu relative to M. Elba González-Mejía Mexico M. Elba González-Mejía's profile →
Citations per field
00.5×12.3×
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 202249
3 200447
4 201546
5 199542
6 201340
7 201739
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 202322
15 201821
16 201821
17 201720
18 201419
19
Transcription elongation by RNA polymerase II: mechanism of SII activation.
199318
20 201918

About Wei Gu

Wei Gu is a scholar working on Molecular Biology, Oncology, Complementary and alternative medicine, Surgery and Pharmacology, having authored 74 papers that have together received 901 indexed citations. Recurring topics across this work include Antioxidants, Aging, Portulaca oleracea (4 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Complementary and Alternative Medicine Studies (3 papers), Acupuncture Treatment Research Studies (2 papers), Healthcare and Venom Research (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (63 citations), Pharmacology (104 citations), Reproductive Medicine (51 citations), Anesthesiology and Pain Medicine (27 citations) and Orthopedics and Sports Medicine (37 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, Min Li, Yuwei Qiu, Feng Huang, Jingxiang Wu, Yunyun Zhang, Mingye Zhao and Li Bai. Their work appears in journals such as Journal of Integrative Medicine, Pain Research and Management, Integrative Cancer Therapies, Evidence-based Complementary and Alternative Medicine and Journal of Clinical Oncology.

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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