Aizhi Zhang

436 citations
15 papers · 73 indexed · h-index 5

Aizhi Zhang

12 papers receiving 71 citations

Peers

Aizhi Zhang
Comparison fields: 5 of 52
  • Animal Science and Zoology 21
  • Analytical Chemistry 14
  • Food Science 16
  • Physiology 4
  • Endocrinology, Diabetes and Metabolism 12
Replace Carlo Nebbia with:
Carlo Nebbia Italy
John Ayrton Paris United States
Eva Borras United States
G Deharveng France
X. D. Shi China
Julia Svensson Sweden
Alemneh Kabeta Daba Ethiopia
L. M. de S. e Souza Brazil
Boya Zhao China
I. Gil Spain
Aizhi Zhang relative to Carlo Nebbia Italy Carlo Nebbia's profile →
Citations per field
00.5×5.5×
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Citations per year

Countries citing papers authored by Aizhi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Aizhi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20242
6 202216
7 20224
8 20214
9 20184
10 20151
11
Determination of urotropine in dried beancurd stick, rice flour and rice pastry by ultra pressure liquid chrmatography-electrospray tandem mass spectrometry.
20130
12 201035
13 20103
14
[Simultaneous determination of delta-9-tetrahydrocannabinol cannabidiol and cannabinol in edible oil using ultra performance liquid chromatography-tandem mass spectrometry].
20101
15
Relation Between Maize Yield and Eco-climate Factors
20091

About Aizhi Zhang

Aizhi Zhang is a scholar working on Immunology and Allergy, Otorhinolaryngology and Animal Science and Zoology, having authored 15 papers that have together received 73 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (5 papers), Pesticide Residue Analysis and Safety (3 papers), Allergic Rhinitis and Sensitization (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Pharmacological Effects and Assays (2 papers), Hormonal and reproductive studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Animal Science and Zoology (21 citations), Analytical Chemistry (14 citations) and Food Science (16 citations). Aizhi Zhang has collaborated with scholars based in China. Frequent co-authors include Quanlin Wang, Liren Chen, Xiaofan Sui, Weiwei Zhu, Xinxia Li, Huanping Zhang, Lili Cao, Ping–Chang Yang, Shufen Zhang and Xiaoxue Chen. Their work appears in journals such as Biomedicine & Pharmacotherapy, Analytica Chimica Acta, Frontiers in Public Health, Frontiers in Medicine and Frontiers in Immunology.

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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