Wei Gu

68 papers receiving 894 citations

Peers

Wei Gu
Comparison fields: 5 of 109
  • Complementary and alternative medicine 64
  • Reproductive Medicine 54
  • Pharmacology 105
  • Anesthesiology and Pain Medicine 27
  • Orthopedics and Sports Medicine 40
Replace M. Elba González-Mejía with:
M. Elba González-Mejía Mexico
Yiyuan Zhang China
Xiaoming Liu China
Marzena Skrzypczak-Zielińska Poland
Chunmei Ma China
Fateme Zare Iran
Ling Xu China
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
00.5×10×13.3×
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 199654
2 202249
3 200447
4 201546
5 199543
6 201341
7 201739
8 200937
9 201232
10 201931
11
Triple-controlled oncolytic adenovirus expressing melittin to exert inhibitory efficacy on hepatocellular carcinoma.
201528
12 199625
13 201724
14 202322
15 201821
16 201821
17 201720
18 201920
19 201419
20
Transcription elongation by RNA polymerase II: mechanism of SII activation.
199318

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 914 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 (64 citations), Reproductive Medicine (54 citations), Pharmacology (105 citations), Anesthesiology and Pain Medicine (27 citations) and Orthopedics and Sports Medicine (40 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, Mingye Zhao, Yunyun Zhang, Feng Huang, Jingxiang Wu and Richard Oko. Their work appears in journals such as Journal of Integrative Medicine, Integrative Cancer Therapies, Scientific Reports, Journal of Clinical Oncology and Pain Research and Management.

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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