Le Ai

405 citations
11 papers · 266 · 1 hit paper · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis
    • Lymphatic System and Diseases
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Circular RNAs in diseases 2
    • Epigenetics and DNA Methylation 1
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Lymphatic System and Diseases 1

Le Ai

11 papers receiving 262 citations

Le Ai's Hit Papers

PDGFRα+ITGA11+ fibroblasts foster early-stage cancer lymphovascular invasion and lymphatic metastasis via ITGA11-SELE interplay 2024 · 86 citations
860+1Years since publication255075

Peers

Le Ai
Comparison fields: 5 of 39
  • Cancer Research 69
  • Oncology 71
  • Immunology 42
  • Molecular Biology 133
  • Pulmonary and Respiratory Medicine 31
Replace Sanaz Jamalzadeh with:
Sanaz Jamalzadeh Finland
Jian-Ping Huo China
Dorothee Franziska Strohmer Germany
Yuncang Yuan China
Kohei Edamura Japan
Clara Martínez-Vila Spain
Yansen Xiao China
Hong Wei China
Aleksandra Filipović United Kingdom
C. Liu China
Le Ai relative to Sanaz Jamalzadeh Finland Sanaz Jamalzadeh's profile →
Citations per field
00.5×
Sanaz Jamalzadeh · 1×
Citations per year

Countries citing papers authored by Le Ai

Since Specialization
Citations

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

Fields of papers citing papers by Le Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
PDGFRα+ITGA11+ fibroblasts foster early-stage cancer lymphovascular invasion and lymphatic metastasis via ITGA11-SELE interplay
Hit paper breakdown →
202486
2 202160
3 202335
4 202129
5 202328
6 20208
7 20208
8 20216
9 20232
10 20232
11 20182

About Le Ai

Le Ai is a scholar working on Molecular Biology, Oncology, Atomic and Molecular Physics, and Optics, Immunology and Pharmacology, having authored 11 papers that have together received 266 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (2 papers), Quantum optics and atomic interactions (2 papers), Circular RNAs in diseases (2 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Forensic and Genetic Research (1 paper), Forensic Fingerprint Detection Methods (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Cancer Research (69 citations), Oncology (71 citations), Immunology (42 citations), Molecular Biology (133 citations) and Pulmonary and Respiratory Medicine (31 citations). Le Ai has collaborated with scholars based in China and Pakistan. Frequent co-authors include Yao Kong, Yuming Luo, Changhao Chen, Hanhao Zheng, Mingjie An, Yue Zhao, Yuting Li, Yan Lin, Jian Huang and Xiayao Diao. Their work appears in journals such as Cancer Cell, Cancer Communications, Optical Materials Express, Journal of the Optical Society of America B and Journal of Forensic Sciences.

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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