Guang Chen

2.2k citations
38 papers · 1.3k indexed · h-index 16
Topics
Neuroscience and Neuropharmacology Research (4 papers)Berberine and alkaloids research (3 papers)Extracellular vesicles in disease (3 papers)

In The Last Decade

Guang Chen

34 papers receiving 1.2k citations

Peers

Guang Chen
Comparison fields: 5 of 117
  • Molecular Biology 570
  • Psychiatry and Mental health 339
  • Cellular and Molecular Neuroscience 285
  • Genetics 196
  • Biological Psychiatry 178
Replace Henrietta M. Nielsen with:
Henrietta M. Nielsen Sweden
Laura Stanley United States
Claire E. Shepherd Australia
Christopher J. Yuskaitis United States
Isabelle St‐Amour Canada
Émilie Faivre France
Marco Ferrari Italy
Andres Stucky United States
Daiki Setoyama Japan
Timothy J. Geddes United States
Guang Chen relative to Henrietta M. Nielsen Sweden Henrietta M. Nielsen's profile →
Citations per field
00.5×2.8×
Henrietta M. Nielsen · 1×
Citations per year

Countries citing papers authored by Guang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Chen. A scholar is included among the top collaborators of Guang 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 Guang Chen. Guang 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 6
3 0
4 0
5 1
6 0
7 2
8 10
9 10
10 10
11 33
12 2
13 29
14 34
15 10
16 131
17
Effect of Ginsenoside Rg1 in promoting myocardiac regeneration in myocardial infarction rats
1
18
Dynamic Changes in Serum Cardiac Troponin I Levels and Myocardial Enzyme Activities Following Asphyxia in Newborns
1
19
Efficacy of individual family intervention for schizophrenia patients: three years followed up study
2
20 14

About Guang Chen

Guang Chen is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Berberine and alkaloids research (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Biological Psychiatry (178 citations), Psychiatry and Mental health (339 citations) and Behavioral Neuroscience (72 citations). Guang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Husseini K. Manji, M. Flint Beal, Tadafumi Kato, Nicholas A. Di Prospero, Seth Ness, Michael Krams, John Olds, William Z. Potter, David B. Hawver and Clinton B. Wright. Their work appears in journals such as Nature reviews. Neuroscience, Biological Psychiatry and Journal of Neurochemistry.

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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