Suqing Zhao

2.0k citations
85 papers · 1.6k · h-index 22

Impact in

Papers in

Suqing Zhao

83 papers receiving 1.6k citations

Peers

Suqing Zhao
Comparison fields: 5 of 131
  • Small Animals 85
  • Food Science 212
  • Biochemistry 63
  • Pharmacology 89
  • Complementary and alternative medicine 65
Replace Yuanhu Pan with:
Yuanhu Pan China
Tatiana Andreani Portugal
Gang Shu China
Yanshen Li China
Alexandre Meneghello Fuentefría Brazil
Gildardo Rivera Mexico
Suquan Song China
Shashikant C. Dhawale India
Xiaoxia Liang China
Mohammed F. Aldawsari Saudi Arabia
Suqing Zhao relative to Yuanhu Pan China Yuanhu Pan's profile →
Citations per field
00.5×2.6×
Yuanhu Pan · 1×
Citations per year

Countries citing papers authored by Suqing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Suqing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 2018119
3 2014118
4 202283
5 201974
6 201160
7 201750
8 201848
9 201245
10 202042
11 201639
12 202138
13 201837
14 201436
15 201734
16 202033
17 201731
18 202030
19 201530
20 201728

About Suqing Zhao

Suqing Zhao is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Small Animals, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), Advanced Nanomaterials in Catalysis (13 papers), Biosensors and Analytical Detection (10 papers), Natural product bioactivities and synthesis (9 papers), Animal health and immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Natural Antidiabetic Agents Studies (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Small Animals (85 citations), Food Science (212 citations), Biochemistry (63 citations), Pharmacology (89 citations) and Complementary and alternative medicine (65 citations). Suqing Zhao has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yingying Zhong, Xiping Cui, Qiuyan Zhu, Qiyi He, Yang Yang, Panpan Wu, Kun Zhang, Guiying Huang, Chao Peng and Fengyi Zhao. Their work appears in journals such as Food Analytical Methods, Pest Management Science, Microchimica Acta, Journal of Agricultural and Food Chemistry and Analytical and Bioanalytical Chemistry.

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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