Luyan Mu

733 citations
20 papers · 383 · h-index 12

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 3
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 3

Luyan Mu

19 papers receiving 379 citations

Peers

Luyan Mu
Comparison fields: 5 of 59
  • Genetics 107
  • Cancer Research 137
  • Neurology 38
  • Immunology 83
  • Oncology 106
Replace Caihong Sun with:
Caihong Sun China
Yolanda Piña United States
Guo-Shi Lin China
Fangling Cheng China
Zhitao Zong China
Yangzhi Qi China
Gyöngyi Kudlik Hungary
Veronica De Gregorio Italy
Zhennan Tao China
Boxuan Liu China
Luyan Mu relative to Caihong Sun China Caihong Sun's profile →
Citations per field
00.5×5.3×
Caihong Sun · 1×
Citations per year

Countries citing papers authored by Luyan Mu

Since Specialization
Citations

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

Fields of papers citing papers by Luyan Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luyan Mu, 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 Luyan Mu Line = papers co-authored together Luyan Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201763
2 201862
3 201342
4 201741
5 201538
6 201929
7 201722
8 201418
9 202213
10 200913
11 201711
12 200911
13 20197
14 20236
15 20152
16 20172
17 20251
18
Relationship between mutations in the ALOX5AP gene and ischemic stroke
20071
19 20171
20 20240

About Luyan Mu

Luyan Mu is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (4 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Genetics (107 citations), Cancer Research (137 citations), Neurology (38 citations), Immunology (83 citations) and Oncology (106 citations). Luyan Mu has collaborated with scholars based in China and United States. Frequent co-authors include Yuwen Song, Haitao Ge, Jiping Qi, Duane A. Mitchell, Yifan Chang, Jianping Huang, Changlin Yang, Paul Kubilis, Linchun Jin and Xuezhe Han. Their work appears in journals such as The International Journal of Biological Markers, Journal of Clinical Oncology, Frontiers in Immunology, Journal of Cellular Physiology and Journal of Neuro-Oncology.

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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