Linmu Chen

462 citations
18 papers · 363 · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Sphingolipid Metabolism and Signaling 2
    • Atherosclerosis and Cardiovascular Diseases 4
    • Galectins and Cancer Biology 3

Linmu Chen

18 papers receiving 361 citations

Peers

Linmu Chen
Comparison fields: 5 of 80
  • Biological Psychiatry 59
  • Behavioral Neuroscience 68
  • Developmental Neuroscience 46
  • Neurology 53
  • Physiology 77
Replace Qi-Gang Zhou with:
Qi-Gang Zhou China
Georgia Fodelianaki Germany
Ammar Kutiyanawalla United States
Nobutaka Doe Japan
Mauricio Sandoval Chile
Yau Mun Lim United Kingdom
Denise P. Abulafia Argentina
Claire Tronel France
Petra Sántha Hungary
Gláucia Monteiro de Castro Brazil
Linmu Chen relative to Qi-Gang Zhou China Qi-Gang Zhou's profile →
Citations per field
00.5×1.5×
Qi-Gang Zhou · 1×
Citations per year

Countries citing papers authored by Linmu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linmu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linmu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linmu Chen Line = papers co-authored together Linmu Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201852
2 201943
3 201737
4 201936
5 201727
6 201827
7 201724
8 201820
9 201818
10 201817
11 201713
12 201712
13 201911
14 201711
15 20236
16 20234
17 20223
18 20202

About Linmu Chen

Linmu Chen is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 18 papers that have together received 363 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Galectins and Cancer Biology (3 papers), Cell Adhesion Molecules Research (3 papers), Tryptophan and brain disorders (3 papers), Stress Responses and Cortisol (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Behavioral Neuroscience (68 citations), Developmental Neuroscience (46 citations), Neurology (53 citations) and Physiology (77 citations). Linmu Chen has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Jun Zhang, Chao Yu, Xi Yang, Xiao Deng, Yong Tang, Yanmin Luo, Lin Jiang, Chunxia Huang, Feng‐lei Chao and Qiong Wu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Life Sciences, Frontiers in Aging Neuroscience and The Journal of Comparative Neurology.

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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