Wei Du

3.9k citations
142 papers · 2.7k · h-index 31

Impact in

    • Cancer-related molecular mechanisms research
  • Pollution top 5%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

    • Gene expression and cancer classification 17
    • Machine Learning in Bioinformatics 17
    • Bioinformatics and Genomic Networks 17
    • Genomics and Phylogenetic Studies 7
    • RNA modifications and cancer 7
    • Cancer-related molecular mechanisms research 14

Wei Du

133 papers receiving 2.7k citations

Peers

Wei Du
Comparison fields: 5 of 152
  • Cancer Research 427
  • Pollution 298
  • Molecular Biology 1.1k
  • Water Science and Technology 216
  • Environmental Chemistry 143
Replace Shuang Li with:
Shuang Li China
Jianing Wang China
Chunyu Jiang China
Qingfeng Chen China
Na Mi China
Xiaofang Li China
Ke Tan China
Hongming Zhang China
Amitava Chatterjee United States
Wei Du relative to Shuang Li China Shuang Li's profile →
Citations per field
00.5×2.9×
Shuang Li · 1×
Citations per year

Countries citing papers authored by Wei Du

Since Specialization
Citations

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

Fields of papers citing papers by Wei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017197
2 2003155
3 2018106
4 202088
5 202181
6 202171
7 201759
8 201357
9 201655
10 201443
11 202441
12 202140
13 201740
14 201739
15 202038
16 202138
17 201337
18 201936
19 202136
20 201635

About Wei Du

Wei Du is a scholar working on Molecular Biology, Cancer Research, Ecology, Plant Science and Pollution, having authored 142 papers that have together received 2.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Machine Learning in Bioinformatics (17 papers), Bioinformatics and Genomic Networks (17 papers), Cancer-related molecular mechanisms research (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Hydrology and Sediment Transport Processes (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (427 citations), Pollution (298 citations), Molecular Biology (1.1k citations), Water Science and Technology (216 citations) and Environmental Chemistry (143 citations). Wei Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ying Li, Yanchun Liang, Jiashun Cao, Jingyang Luo, Siyu Han, Xiaoshi Cheng, Xuelei Ma, Kumud Acharya, Wenxuan Huang and Gaoyang Li. Their work appears in journals such as Environmental Science and Pollution Research, The Science of The Total Environment, PLoS ONE, International Journal of Molecular Sciences and BMC Bioinformatics.

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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