Wei Du
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Machine Learning in Bioinformatics 12
- Gene expression and cancer classification 10
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Yanchun Liang (29 shared papers)Ying Li (18 shared papers)Jingyang Luo (12 shared papers)Siyu Han (9 shared papers)Jiashun Cao (12 shared papers)Xiaoshi Cheng (11 shared papers)Gaoyang Li (9 shared papers)Xuelei Ma (4 shared papers)
- Journals
- Environmental Science and Pollution Research (5 papers)The Science of The Total Environment (5 papers)BMC Bioinformatics (4 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Du
135 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 228
- Pollution 155
- Environmental Chemistry 92
- Molecular Biology 590
- Building and Construction 134
Countries citing papers authored by Wei Du
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
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.
All Works
Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2003 | 178 | |
| 3 | 2018 | 120 | |
| 4 | 2020 | 99 | |
| 5 | 2021 | 84 | |
| 6 | 2021 | 80 | |
| 7 | 2017 | 64 | |
| 8 | 2019 | 64 | |
| 9 | 2013 | 61 | |
| 10 | 2016 | 57 | |
| 11 | 2024 | 51 | |
| 12 | 2013 | 47 | |
| 13 | 2014 | 44 | |
| 14 | 2020 | 44 | |
| 15 | 2021 | 44 | |
| 16 | 2018 | 43 | |
| 17 | 2021 | 43 | |
| 18 | 2017 | 41 | |
| 19 | 2017 | 41 | |
| 20 | 2018 | 40 |
About Wei Du
Wei Du is a scholar working on Molecular Biology, Cancer Research, Environmental Chemistry, Pollution and Plant Science, having authored 145 papers that have together received 3.0k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (12 papers), Gene expression and cancer classification (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Cancer-related molecular mechanisms research (6 papers), Advanced Clustering Algorithms Research (4 papers), Plant Molecular Biology Research (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (228 citations), Pollution (155 citations), Environmental Chemistry (92 citations), Molecular Biology (590 citations) and Building and Construction (134 citations). Wei Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanchun Liang, Ying Li, Jingyang Luo, Siyu Han, Jiashun Cao, Xiaoshi Cheng, Gaoyang Li, Xuelei Ma, Kumud Acharya and Wenxuan Huang. Their work appears in journals such as Environmental Science and Pollution Research, The Science of The Total Environment, BMC Bioinformatics, International Journal of Molecular Sciences and PLoS ONE.
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.