Shujun Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- COVID-19 and Mental Health
Papers in
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- MXene and MAX Phase Materials 4
- Co-authors
- Lingling Dai (5 shared papers)Tianci Jiang (5 shared papers)Xi Wang (3 shared papers)Liuqun Jia (4 shared papers)Lin An (2 shared papers)Zengchuan Dong (11 shared papers)Zhe Cheng (2 shared papers)Yu Wang (1 shared paper)
- Journals
- Sustainability (3 papers)Oncology Reports (2 papers)International Journal of Environmental Research and Public Health (2 papers)Water (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shujun Wu
38 papers receiving 519 citations
Peers
Comparison fields: 5 of 111
- Cancer Research 77
- Clinical Psychology 58
- Neurology 35
- Water Science and Technology 35
- Bioengineering 12
Countries citing papers authored by Shujun Wu
This map shows the geographic impact of Shujun Wu'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 Shujun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujun Wu more than expected).
Fields of papers citing papers by Shujun Wu
This network shows the impact of papers produced by Shujun Wu. 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 Shujun Wu. The network helps show where Shujun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shujun Wu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2022 | 70 | |
| 3 | 2020 | 51 | |
| 4 | 2015 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2024 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2016 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Shujun Wu
Shujun Wu is a scholar working on Molecular Biology, Materials Chemistry, Water Science and Technology, Renewable Energy, Sustainability and the Environment and Global and Planetary Change, having authored 40 papers that have together received 525 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (6 papers), Advanced Photocatalysis Techniques (4 papers), MXene and MAX Phase Materials (4 papers), Hydrological Forecasting Using AI (3 papers), Hydrology and Drought Analysis (3 papers), Flood Risk Assessment and Management (2 papers), Fish Ecology and Management Studies (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Cancer Research (77 citations), Clinical Psychology (58 citations), Neurology (35 citations), Water Science and Technology (35 citations) and Bioengineering (12 citations). Shujun Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingling Dai, Tianci Jiang, Xi Wang, Liuqun Jia, Lin An, Zengchuan Dong, Zhe Cheng, Yu Wang, Jianhong Li and Xiaogang Jing. Their work appears in journals such as Sustainability, Oncology Reports, International Journal of Environmental Research and Public Health, Water 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.