Le Qu

3.4k citations
61 papers · 1.4k indexed · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Renal and related cancers
    • RNA Research and Splicing

Papers in

Le Qu

52 papers receiving 1.4k citations

Peers

Le Qu
Comparison fields: 5 of 89
  • Cancer Research 644
  • Molecular Biology 884
  • Pulmonary and Respiratory Medicine 415
  • Dermatology 108
  • Oncology 234
Replace Chuanyuan Wei with:
Chuanyuan Wei China
Luís A. Corchete Spain
Neng‐Yu Lin Germany
Jene Choi South Korea
Tsuyoshi Hata Japan
Brian Lu United States
Ralf‐Peter Czekay United States
Daniel Wetterskog United Kingdom
Andrea‐Hermina Györfi Germany
Michael B. Sporn United States
Le Qu relative to Chuanyuan Wei China Chuanyuan Wei's profile →
Citations per field
00.5×20×40×50.5×
Chuanyuan Wei · 1×
Citations per year

Countries citing papers authored by Le Qu

Since Specialization
Citations

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

Fields of papers citing papers by Le Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20243
5 20249
6 20240
7 20246
8 20243
9 20241
10 20237
11 20234
12 20230
13 20231
14 202323
15 202238
16 2017104
17 20154
18 201497
19 2012114
20
Development of ERCC RNA Spike-In Control Mixes
20119

About Le Qu

Le Qu is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Health Informatics, Oncology and Molecular Biology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (24 papers), Ferroptosis and cancer prognosis (13 papers), Renal and related cancers (10 papers), Cancer-related molecular mechanisms research (9 papers), Cancer Genomics and Diagnostics (8 papers), Epigenetics and DNA Methylation (7 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (644 citations), Molecular Biology (884 citations), Pulmonary and Respiratory Medicine (415 citations), Dermatology (108 citations) and Oncology (234 citations). Le Qu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Zhenjie Wu, Yi Bao, Linhui Wang, Bing Liu, Linhui Wang, Deng-Shuang Wu, Anbang Wang, Jiazi Shi, Cheng Chen and Jiayi Liu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Cancer Biology & Therapy, Oxidative Medicine and Cellular Longevity and Medicine.

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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