Shuaijun Lu
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA modifications and cancer 2
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- Nanoplatforms for cancer theranostics 8
- Co-authors
- Canhua Huang (8 shared papers)Bowen Li (4 shared papers)Feng Gao (2 shared papers)Kangjia Luo (2 shared papers)Lin Liu (1 shared paper)Rui Chen (1 shared paper)Jing Tang (1 shared paper)Jing Zuo (1 shared paper)
- Journals
- Food Chemistry (2 papers)Small (2 papers)Journal of Oncology (1 paper)Food Research International (1 paper)Biomaterials Research (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shuaijun Lu
17 papers receiving 371 citations
Shuaijun Lu's Hit Papers
Peers
Comparison fields: 5 of 69
- Cancer Research 60
- Biochemistry 24
- Molecular Medicine 15
- Toxicology 10
- Molecular Biology 185
Countries citing papers authored by Shuaijun Lu
This map shows the geographic impact of Shuaijun Lu'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 Shuaijun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuaijun Lu more than expected).
Fields of papers citing papers by Shuaijun Lu
This network shows the impact of papers produced by Shuaijun Lu. 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 Shuaijun Lu. The network helps show where Shuaijun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuaijun Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Drug-induced oxidative stress in cancer treatments: Angel or devil? Hit paper breakdown → | 2023 | 122 |
| 2 | 2022 | 53 | |
| 3 | 2018 | 40 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 30 | |
| 6 | 2022 | 20 | |
| 7 | 2016 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 2 | |
| 16 | Detection of 19 types of para-arachidonic acids in five types of plasma/serum by ultra performance liquid chromatography-tandem mass spectrometry. | 2015 | 2 |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Shuaijun Lu
Shuaijun Lu is a scholar working on Molecular Biology, Biomedical Engineering, Biochemistry, Food Science and Cancer Research, having authored 19 papers that have together received 376 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Polysaccharides Composition and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), Proteins in Food Systems (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (60 citations), Biochemistry (24 citations), Molecular Medicine (15 citations), Toxicology (10 citations) and Molecular Biology (185 citations). Shuaijun Lu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Canhua Huang, Bowen Li, Feng Gao, Kangjia Luo, Lin Liu, Rui Chen, Jing Tang, Jing Zuo, Lei Li and Hailong Tian. Their work appears in journals such as Food Chemistry, Small, Journal of Oncology, Food Research International and Biomaterials Research.
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.