Kang Chen

1.5k citations
38 papers · 1.1k indexed · h-index 17
Topics
Neuroscience and Neuropharmacology Research (5 papers)Microbial Natural Products and Biosynthesis (4 papers)Botulinum Toxin and Related Neurological Disorders (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Kang Chen

36 papers receiving 1.1k citations

Peers

Kang Chen
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 633
  • Molecular Biology 341
  • Pharmacology 265
  • Cognitive Neuroscience 240
  • Psychiatry and Mental health 205
Replace Ti‐Zhi Su with:
Ti‐Zhi Su United States
Matteo Zanardelli Italy
José M. Baeyens Spain
Shuang Qiu China
Dénes Budai Hungary
Young Seok Park South Korea
Vincent Émond Canada
Marzia Lecchi Italy
Li Zou China
Prasant Chandran United States
Kang Chen relative to Ti‐Zhi Su United States Ti‐Zhi Su's profile →
Citations per field
00.5×2.7×
Ti‐Zhi Su · 1×
Citations per year

Countries citing papers authored by Kang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Chen. A scholar is included among the top collaborators of Kang Chen 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 Kang Chen. Kang Chen 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 2
3 1
4 9
5 3
6 24
7 20
8 4
9 6
10
The optimization of the salt processing procedure of Morinda officinalis How. by uniform design and the comparison of 5 kinds of saccharides's content.
1
11 61
12 10
13
Contents determination of chrysin and baicalein in Senmen Oroxyli.
1
14
Changes of ephedrine and pseudo-ephedrine content in Herba Ephedrae before and after honey-baking
1
15 124
16 162
17 344
18 21
19 38
20 19

About Kang Chen

Kang Chen is a scholar working on Microbiology, Pharmacology and Complementary and alternative medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (633 citations), Pharmacology (265 citations) and Psychiatry and Mental health (205 citations). Kang Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tallie Z. Baram, Ildikó Aradi, Niklas Thon, Mariam Eghbal-Ahmadi, Ivan Soltesz, Lutz G.W. Hilgenberg, Ken Mackie, Iván Soltész, Yuan Sun and Martin A. Smith. Their work appears in journals such as Angewandte Chemie International Edition, Nature Medicine and Neuron.

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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