Si-Yuan Pan

728 citations
12 papers · 520 indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neuropharmacology Research (2 papers)Peroxisome Proliferator-Activated Receptors (2 papers)Liver Disease Diagnosis and Treatment (2 papers)

In The Last Decade

Si-Yuan Pan

12 papers receiving 504 citations

Hit Papers

Tea and tea drinking: China’s outstanding contributions t...2022202620232024202250100150

Peers

Si-Yuan Pan
Comparison fields: 5 of 110
  • Molecular Biology 198
  • Pathology and Forensic Medicine 108
  • Pharmacology 99
  • Complementary and alternative medicine 82
  • Plant Science 78
Replace Dae-Gill Kang with:
Dae-Gill Kang South Korea
Fangbo Xia China
Zhaoqing Meng China
Ajaz Ahmad Ganai India
Jinglou Chen China
Doaa A. Elsherbiny Egypt
Heibatollah Sadeghi Iran
N.C. Varadacharyulu India
B Anju India
Koichi Misawa Japan
Si-Yuan Pan relative to Dae-Gill Kang South Korea Dae-Gill Kang's profile →
Citations per field
00.5×3.4×
Dae-Gill Kang · 1×
Citations per year

Countries citing papers authored by Si-Yuan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Si-Yuan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si-Yuan Pan. 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 Si-Yuan Pan. The network helps show where Si-Yuan Pan may publish in the future.

Co-authorship network of co-authors of Si-Yuan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Si-Yuan Pan. A scholar is included among the top collaborators of Si-Yuan Pan 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 Si-Yuan Pan. Si-Yuan Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 108
3
Tea and tea drinking: China’s outstanding contributions to the mankindbreakdown →
169
4 2
5 24
6 13
7 117
8 46
9 10
10 14
11
Features of memory on novel situation and avoidance response: evidence from comparisons between open-field behavior and step-through task.
7
12
Circadian effects of scopolamine on memory, exploratory behavior, and muscarinic receptors in mouse brain.
9

About Si-Yuan Pan

Si-Yuan Pan is a scholar working on Biological Psychiatry, Biochemistry and Biochemistry, having authored 12 papers that have together received 520 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Pharmacology (99 citations) and Complementary and alternative medicine (82 citations). Si-Yuan Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhi‐Ling Yu, Xiaowu Chen, Shu Zhou, Helen K. Chew, Jagat R. Kanwar, Chuanhai Cao, Kevin Sneed, Peili Zhu, Yi Zhang and Brian Chi‐Yan Cheng. Their work appears in journals such as Metabolism, Pharmacology Biochemistry and Behavior and Journal of Pharmacy and Pharmacology.

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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