Shuiqing Gui

34 papers receiving 426 citations

Peers

Shuiqing Gui
Comparison fields: 5 of 86
  • Microbiology 30
  • Molecular Medicine 21
  • Pharmaceutical Science 25
  • Biochemistry 19
  • Biological Psychiatry 7
Replace Zhengmin Liang with:
Zhengmin Liang China
Ahmed Mohamed El-Baz Egypt
Turki Abdullah Alamri Saudi Arabia
Shangyong Li China
Viljemka Bučević‐Popović Croatia
Eusebio Gaínza Spain
Zohreh Khodaii Iran
Neha M. Sahasrabudhe Netherlands
Gaoxiang Shi China
Kyohei Nishino Japan
Shuiqing Gui relative to Zhengmin Liang China Zhengmin Liang's profile →
Citations per field
00.5×1.5×1.9×
Zhengmin Liang · 1×
Citations per year

Countries citing papers authored by Shuiqing Gui

Since Specialization
Citations

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

Fields of papers citing papers by Shuiqing Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201942
3 202137
4 202136
5 202233
6 202228
7
Relationship between expression of Smac and Survivin and apoptosis of primary hepatocellular carcinoma.
200627
8 201716
9 201413
10 202411
11 202411
12 20259
13 20239
14 20248
15 20248
16 20238
17 20228
18 20247
19 20246
20 20256

About Shuiqing Gui

Shuiqing Gui is a scholar working on Microbiology, Epidemiology, Pharmaceutical Science, Food Science and Critical Care and Intensive Care Medicine, having authored 39 papers that have together received 432 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Gut microbiota and health (3 papers), Sepsis Diagnosis and Treatment (3 papers), Inflammatory Bowel Disease (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), RNA Interference and Gene Delivery (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Advancements in Transdermal Drug Delivery (2 papers). The work is most often cited by research in Microbiology (30 citations), Molecular Medicine (21 citations), Pharmaceutical Science (25 citations), Biochemistry (19 citations) and Biological Psychiatry (7 citations). Shuiqing Gui has collaborated with scholars based in China, United Kingdom and Ireland. Frequent co-authors include Xuemei Lu, Qingru Chen, Lun Zhang, Xiaobao Jin, Zhaoxia Chen, Yinghua Xu, Jian Wang, Ziyan Wang, Fujiang Chu and Jian Wang. Their work appears in journals such as Diabetology & Metabolic Syndrome, Frontiers in Microbiology, BMC Infectious Diseases, BMC Pregnancy and Childbirth and International Journal of Biological Macromolecules.

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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