Meng‐Ze Du

424 citations
16 papers · 276 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Machine Learning in Bioinformatics

Papers in

    • Genomics and Phylogenetic Studies 7
    • RNA and protein synthesis mechanisms 5
    • Metabolomics and Mass Spectrometry Studies 3
    • RNA modifications and cancer 3
    • Bioinformatics and Genomic Networks 2
    • Machine Learning in Bioinformatics 1

Meng‐Ze Du

15 papers receiving 274 citations

Peers

Meng‐Ze Du
Comparison fields: 5 of 58
  • Cancer Research 81
  • Molecular Biology 208
  • Microbiology 2
  • Endocrinology 12
  • Ecology 40
Replace Binghang Liu with:
Binghang Liu China
Florian Eggenhofer Germany
Michelle M. Halstead United States
Cynthia L. Hendrickson United States
Leandra Brettner United States
Raja C. Mugasimangalam India
Jian-Feng Xing China
Christine Anyansi Netherlands
Eakapol Wangkahart Thailand
Songjia Lai China
Meng‐Ze Du relative to Binghang Liu China Binghang Liu's profile →
Citations per field
00.5×3.3×
Binghang Liu · 1×
Citations per year

Countries citing papers authored by Meng‐Ze Du

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Ze Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020107
2 201636
3 201935
4 201832
5 201819
6 201719
7 20166
8 20115
9 20185
10 20205
11 20253
12 20251
13 20191
14 20251
15 20181
16 20240

About Meng‐Ze Du

Meng‐Ze Du is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Pharmacology, having authored 16 papers that have together received 276 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Chemical Sensor Technologies (1 paper), Machine Learning in Bioinformatics (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (81 citations), Molecular Biology (208 citations), Microbiology (2 citations), Endocrinology (12 citations) and Ecology (40 citations). Meng‐Ze Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng‐Biao Guo, Wen Wei, Shuo Liu, Tianyu Cui, Jiaxin Luo, Jun Cheng, Ning Lin, Nuo Wang, Dong Wang and Ju Wang. Their work appears in journals such as Genome Biology and Evolution, Frontiers in Microbiology, DNA Research, Scientific Reports and Environmental Microbiology.

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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