Guo Yan

865 citations
31 papers · 688 indexed · h-index 16
Topics
Cannabis and Cannabinoid Research (5 papers)Phytochemicals and Antioxidant Activities (4 papers)Pain Mechanisms and Treatments (4 papers)

In The Last Decade

Guo Yan

31 papers receiving 682 citations

Peers

Guo Yan
Comparison fields: 5 of 94
  • Molecular Biology 212
  • Pharmacology 157
  • Cellular and Molecular Neuroscience 119
  • Plant Science 107
  • Biochemistry 99
Replace Yasuhiro Kawano with:
Yasuhiro Kawano Japan
Chenggang Zhu China
Anna Fiedorowicz Poland
Cínthia Melazzo de Andrade Brazil
Olov Sterner Sweden
Renato Iori Italy
Michał Gleńsk Poland
Yujie Liu China
Adriana da Rocha Tomé Brazil
Lingyun Xiao China
Guo Yan relative to Yasuhiro Kawano Japan Yasuhiro Kawano's profile →
Citations per field
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Yasuhiro Kawano · 1×
Citations per year

Countries citing papers authored by Guo Yan

Since Specialization
Citations

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

Fields of papers citing papers by Guo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Yan. A scholar is included among the top collaborators of Guo Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guo Yan. Guo Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 13
3 6
4 14
5 54
6 2
7 9
8 104
9
Characteristics of mycelial growth and enzyme production of Hypsizygus marmoreus under different nutritional conditions
1
10 30
11
[Protective effect of injection of Danhong against acute myocardial ischemia in dogs].
4
12 39
13 3
14 23
15 52
16 30
17
Predictors of atrial fibrillation after coronary artery bypass graft surgery.
12
18 11
19 35
20 15

About Guo Yan

Guo Yan is a scholar working on Biochemistry, Pharmacology and Toxicology, having authored 31 papers that have together received 688 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Phytochemicals and Antioxidant Activities (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Drug Discovery (3 citations), Biochemistry (99 citations) and Pharmacology (157 citations). Guo Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongliang Zhuang, Yanxin Zhang, Liping Sun, Jimmy Kwang, Liping Sun, Alexandros Makriyannis, Zhiwu Chen, Ting Wei, Qingyu Ma and Avgui Charalambous. Their work appears in journals such as Biomaterials, Biochemical and Biophysical Research Communications and Journal of Medicinal 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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