Weiguo Shi

606 citations
50 papers · 483 · h-index 13

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 8
    • Cancer therapeutics and mechanisms 7
    • Receptor Mechanisms and Signaling 4
    • RNA and protein synthesis mechanisms 4
    • Pain Mechanisms and Treatments 6

Weiguo Shi

49 papers receiving 472 citations

Peers

Weiguo Shi
Comparison fields: 5 of 85
  • Virology 89
  • Toxicology 20
  • Infectious Diseases 101
  • Pharmaceutical Science 24
  • Microbiology 18
Replace Zhiguang Ren with:
Zhiguang Ren China
Sonia de Castro Spain
Jeffrey A. Burgess United States
Helena Mertlíková‐Kaiserová Czechia
Ibrahim M. Ibrahim Saudi Arabia
Albert D. Friesen Canada
Shoukath M. Ali United States
Lenka Poštová Slavětínská Czechia
Yuko Kawasaki Japan
Liu Wang China
Weiguo Shi relative to Zhiguang Ren China Zhiguang Ren's profile →
Citations per field
00.5×3.6×
Zhiguang Ren · 1×
Citations per year

Countries citing papers authored by Weiguo Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weiguo Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200847
2 201846
3 201322
4 202320
5
[Study on interventing effect of puerarin on insulin resistance in patients with coronary heart disease].
200220
6 202119
7 201415
8 201215
9 201815
10 201614
11 200914
12 200813
13 201913
14 200411
15 201911
16 201911
17 201611
18 201611
19 201711
20 201710

About Weiguo Shi

Weiguo Shi is a scholar working on Molecular Biology, Physiology, Virology, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 50 papers that have together received 483 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (8 papers), HIV Research and Treatment (7 papers), Cancer therapeutics and mechanisms (7 papers), Pain Mechanisms and Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Receptor Mechanisms and Signaling (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Virology (89 citations), Toxicology (20 citations), Infectious Diseases (101 citations), Pharmaceutical Science (24 citations) and Microbiology (18 citations). Weiguo Shi has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Keliang Liu, Shibo Jiang, Bo‐Hua Zhong, Chengyun Yan, Lifeng Cai, Chao Wang, Zhi Qi, Chungen Pan, Na Xue and Weiguo Jing. Their work appears in journals such as Molecules, Chinese Chemical Letters, Arabian Journal of Chemistry, Bioorganic & Medicinal Chemistry Letters and ChemMedChem.

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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