Wei Gu

1.2k citations
69 papers · 883 · h-index 18

Impact in

Papers in

Wei Gu

65 papers receiving 859 citations

Peers

Wei Gu
Comparison fields: 5 of 108
  • Complementary and alternative medicine 66
  • Reproductive Medicine 52
  • Anesthesiology and Pain Medicine 27
  • Cancer Research 67
  • Pharmacology 77
Replace M. Elba González-Mejía with:
M. Elba González-Mejía Mexico
Marzena Skrzypczak-Zielińska Poland
Xia Liao China
Nélson Alexandre Kretzmann Filho Brazil
Slobodanka Mitrović Serbia
Gong‐Hao He China
Qun Zhao China
Wendy Chao United States
Sevinç İnan Türkiye
Maria Luisa Castellani Italy
Wei Gu relative to M. Elba González-Mejía Mexico M. Elba González-Mejía's profile →
Citations per field
00.5×2×2.9×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199655
2 202251
3 201547
4 200447
5 199542
6 201342
7 201739
8 200938
9 201233
10 201932
11
Triple-controlled oncolytic adenovirus expressing melittin to exert inhibitory efficacy on hepatocellular carcinoma.
201528
12 201724
13 199624
14 202324
15 201823
16 201821
17 201419
18 201719
19
Transcription elongation by RNA polymerase II: mechanism of SII activation.
199318
20 201717

About Wei Gu

Wei Gu is a scholar working on Complementary and alternative medicine, Immunology, Molecular Biology, Oncology and Pharmacology, having authored 69 papers that have together received 883 indexed citations. Recurring topics across this work include Antioxidants, Aging, Portulaca oleracea (4 papers), Acupuncture Treatment Research Studies (3 papers), Complementary and Alternative Medicine Studies (3 papers), Traditional Chinese Medicine Studies (2 papers), Biochemical Acid Research Studies (2 papers), Aquaculture disease management and microbiota (2 papers), Genomics and Chromatin Dynamics (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (66 citations), Reproductive Medicine (52 citations), Anesthesiology and Pain Medicine (27 citations), Cancer Research (67 citations) and Pharmacology (77 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, Feng Huang, Jing-xiang Wu, Mingye Zhao, YunYun Zhang, Yuwei Qiu and Li Bai. Their work appears in journals such as Journal of Chinese Integrative Medicine, Evidence-based Complementary and Alternative Medicine, Integrative Cancer Therapies, Pain Research and Management and Frontiers in Endocrinology.

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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