Can‐Xing Yuan

529 citations
36 papers · 335 indexed · h-index 12
Topics
Parkinson's Disease Mechanisms and Treatments (19 papers)Ginkgo biloba and Cashew Applications (8 papers)Neurological disorders and treatments (5 papers)

In The Last Decade

Can‐Xing Yuan

32 papers receiving 326 citations

Peers

Can‐Xing Yuan
Comparison fields: 5 of 88
  • Neurology 153
  • Complementary and alternative medicine 86
  • Cellular and Molecular Neuroscience 52
  • Molecular Biology 51
  • Pharmacology 39
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Citations per field
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Citations per year

Countries citing papers authored by Can‐Xing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Can‐Xing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Can‐Xing Yuan. 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 Can‐Xing Yuan. The network helps show where Can‐Xing Yuan may publish in the future.

Co-authorship network of co-authors of Can‐Xing Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Can‐Xing Yuan. A scholar is included among the top collaborators of Can‐Xing Yuan 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 Can‐Xing Yuan. Can‐Xing Yuan 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 0
2 0
3 0
4 1
5 37
6 12
7 9
8 1
9 1
10 7
11 10
12 21
13 8
14
Study on the Preparation Process of Zhenjing Xiehuo Granules
1
15 5
16
Clinical research on "Zhenjing Xiehuo Mixture" for generalized anxiety
1
17
Clinical Observation on Treatment of Parkinson's Disease by Nourishing Liver and Kidney
4
18 16
19
Treatment of Parkinson's Disease in 30 Cases by Nourishing Liver and Kidneys, Unblocking Collaterals and Relieving Toxin
1
20
Comparison of Sedative-Hypnotic Function Between "Ganmai Dazao Decoction" and Its Modified Prescriptions in Rats
1

About Can‐Xing Yuan

Can‐Xing Yuan is a scholar working on Complementary and alternative medicine, Neurology and Neurology, having authored 36 papers that have together received 335 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (19 papers), Ginkgo biloba and Cashew Applications (8 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Complementary and alternative medicine (86 citations), Neurology (153 citations) and Microbiology (32 citations). Can‐Xing Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qing Ye, Jie Zhou, Annette M. O’Connor, Chong Wang, Jonah N. Cullen, Johann F. Coetzee, Zhenguo Liu, Chonggang Yuan, Chenyi Xia and Xiaolei Yuan. Their work appears in journals such as Scientific Reports, Journal of Affective Disorders and Medicine.

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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