Lu Meng

1.4k citations
8 papers · 987 · 1 hit paper · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Molecular Biology Techniques and Applications

Papers in

Lu Meng

8 papers receiving 943 citations

Lu Meng's Hit Papers

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models 2010 · 708 citations
7080+5+10Years since publication200400600

Peers

Lu Meng
Comparison fields: 5 of 98
  • Cancer Research 135
  • Molecular Biology 479
  • Pediatrics, Perinatology and Child Health 121
  • Genetics 162
  • Hematology 59
Replace Nina Gonzaludo with:
Nina Gonzaludo United States
Tiziana Sanavia Italy
Kevin C. Dorff United States
Damir Dosymbekov Russia
Xiao Zeng China
Lora Ziyabari United States
Sanna H. Timonen Finland
Susan H. Wei United States
Dorit S. Berlin United States
Branka Zukić Serbia
Lu Meng relative to Nina Gonzaludo United States Nina Gonzaludo's profile →
Citations per field
00.5×2×3.1×
Nina Gonzaludo · 1×
Citations per year

Countries citing papers authored by Lu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Hit paper breakdown →
2010708
2 2016138
3 202043
4 201639
5 201838
6 201913
7 20185
8 20253

About Lu Meng

Lu Meng is a scholar working on Pediatrics, Perinatology and Child Health, Biophysics, Genetics, Molecular Biology and Plant Science, having authored 8 papers that have together received 987 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper), Gene expression and cancer classification (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Bacterial Genetics and Biotechnology (1 paper), Chromosomal and Genetic Variations (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (135 citations), Molecular Biology (479 citations), Pediatrics, Perinatology and Child Health (121 citations), Genetics (162 citations) and Hematology (59 citations). Lu Meng has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Ping Hu, Zhengfeng Xu, Hui Jiang, Jun Zhang, Jun Wang, Huilin Wang, Wei Wang, Haixiao Chen, Jinjin Xu and Yun Li. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Nature Biotechnology, Genetics in Medicine, Clinical Genetics and Cell Reports.

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.

Explore authors with similar magnitude of impact