Laijun Song

980 citations
46 papers · 678 · h-index 18

Impact in

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

Papers in

Laijun Song

43 papers receiving 663 citations

Peers

Laijun Song
Comparison fields: 5 of 92
  • Cancer Research 128
  • Genetics 77
  • Internal Medicine 20
  • Neurology 78
  • Pharmacology 31
Replace Alessandra Consonni with:
Alessandra Consonni Italy
Nicolas Magné France
Junfeng Zhang China
Tiecheng Yu China
Chuan Wen China
Sönke Weinert Germany
Zhiwei Zhong China
Jun Chang China
Laijun Song relative to Alessandra Consonni Italy Alessandra Consonni's profile →
Citations per field
00.5×1.5×2.3×
Alessandra Consonni · 1×
Citations per year

Countries citing papers authored by Laijun Song

Since Specialization
Citations

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

Fields of papers citing papers by Laijun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 201545
3 201144
4 201240
5 201638
6 201334
7 201525
8 201324
9 201324
10 200723
11 201622
12 201522
13 202120
14 201719
15 201218
16 201218
17 201118
18 201717
19 201917
20 201816

About Laijun Song

Laijun Song is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Epidemiology, having authored 46 papers that have together received 678 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Glioma Diagnosis and Treatment (5 papers), Neuroblastoma Research and Treatments (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (4 papers), Spinal Dysraphism and Malformations (4 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). The work is most often cited by research in Cancer Research (128 citations), Genetics (77 citations), Internal Medicine (20 citations), Neurology (78 citations) and Pharmacology (31 citations). Laijun Song has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Fuyou Guo, Bo Yang, Yongli Lou, Xinbin Guo, Bo Yang, Xiang Hu, Fangxia Guan, Hui Zhang, Jianbin Li and Jin Shi. Their work appears in journals such as Clinical Neurology and Neurosurgery, Journal of Stroke and Cerebrovascular Diseases, Neurological Sciences, Pediatric Neurosurgery and RSC Advances.

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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