Guanzhen Wang

614 citations
17 papers · 413 · h-index 9

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • Natural product bioactivities and synthesis 2
    • Pancreatic function and diabetes 2

Guanzhen Wang

16 papers receiving 407 citations

Peers

Guanzhen Wang
Comparison fields: 5 of 104
  • Infectious Diseases 95
  • Biochemistry 18
  • Neurology 34
  • Obstetrics and Gynecology 16
  • Dermatology 18
Replace Can Xu with:
Can Xu China
Dan Cao China
Hamid‐Reza Mohammadi‐Motlagh Iran
Naveen Kumar Vishvakarma India
Naoko Hattori Japan
Fatemeh Sadoughi Iran
Kaiyin Yang China
Rajni Khan India
Benjamin C. Creekmore United States
Guanzhen Wang relative to Can Xu China Can Xu's profile →
Citations per field
00.5×
Can Xu · 1×
Citations per year

Countries citing papers authored by Guanzhen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanzhen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020139
2 202290
3 201947
4 202234
5 202120
6 201917
7 202216
8 202311
9 202210
10 20228
11 20208
12 20104
13 20223
14 20203
15 20232
16 20191
17 20250

About Guanzhen Wang

Guanzhen Wang is a scholar working on Molecular Biology, Surgery, Epidemiology, Biomaterials and Plant Science, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Phytochemistry and Biological Activities (2 papers), Natural product bioactivities and synthesis (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Pancreatic function and diabetes (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Infectious Diseases (95 citations), Biochemistry (18 citations), Neurology (34 citations), Obstetrics and Gynecology (16 citations) and Dermatology (18 citations). Guanzhen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Liu, Tingdong Yan, Wei Gu, Chunpeng Wan, Jianping Xiao, Rongrong Deng, Feng Shao, Tao Li, Changzheng Wang and Zhongxiao Fu. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Evidence-based Complementary and Alternative Medicine, Biochemical and Biophysical Research Communications, Frontiers in Bioengineering and Biotechnology and Chemico-Biological Interactions.

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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