Xiangqun Jin

472 citations
18 papers · 400 indexed · h-index 10
Topics
Traditional Chinese Medicine Analysis (4 papers)Advanced Drug Delivery Systems (4 papers)Advancements in Transdermal Drug Delivery (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xiangqun Jin

18 papers receiving 386 citations

Peers

Xiangqun Jin
Comparison fields: 5 of 83
  • Molecular Biology 195
  • Pharmacology 79
  • Food Science 67
  • Pharmaceutical Science 55
  • Analytical Chemistry 52
Replace Li Cui with:
Li Cui China
Sridhar Anand United States
Zijun Yan China
Tao Jian-sheng China
Bahar Ahmed India
Naghmeh Hadidi Iran
Meor Mohd Redzuan Meor Mohd Affandi Malaysia
Nozlena Abdul Samad Malaysia
Tara Chand Yadav India
Xiangqun Jin relative to Li Cui China Li Cui's profile →
Citations per field
00.5×1.5×2.0×
Li Cui · 1×
Citations per year

Countries citing papers authored by Xiangqun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiangqun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangqun Jin

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 6
3 13
4 1
5 66
6 31
7 18
8 6
9 8
10 32
11
[Genetic susceptibility in children with incomplete Kawasaki disease].
5
12 16
13 35
14
Application of Serum Pharmacochemistry for Traditional Chinese Medicine in the Studies of Traditional Chinese Medicine and Complex Prescription
2
15 110
16 2
17 12
18 31

About Xiangqun Jin

Xiangqun Jin is a scholar working on Pharmaceutical Science, Complementary and alternative medicine and Filtration and Separation, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Advanced Drug Delivery Systems (4 papers) and Advancements in Transdermal Drug Delivery (3 papers). The work is most often cited by research in Pharmacology (79 citations), Pharmaceutical Science (55 citations) and Analytical Chemistry (52 citations). Xiangqun Jin has collaborated with scholars based in China and United States. Frequent co-authors include Hanqi Zhang, Chenling Qu, Yuping Bai, Kun Zhang, Jingyan You, Yutang Wang, Hanqi Zhang, Zhongling Liu, Hui Xu and Yu Guo. Their work appears in journals such as Food Chemistry, International Journal of Pharmaceutics and Sensors and Actuators B Chemical.

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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