Dehua Lu
Impact in
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- Cancer Immunotherapy and Biomarkers
- PARP inhibition in cancer therapy
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- Immune cells in cancer
Papers in
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- Protein Degradation and Inhibitors 4
- Protein Tyrosine Phosphatases 3
- Epigenetics and DNA Methylation 3
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- Galectins and Cancer Biology 3
- Immune cells in cancer 3
- Co-authors
- Fucheng Yin (11 shared papers)Zhaofei Liu (8 shared papers)Lingyi Kong (11 shared papers)Xingchen Liu (10 shared papers)Shang Li (11 shared papers)Xiaobing Wang (11 shared papers)Lailiang Qu (8 shared papers)Heng Luo (9 shared papers)
- Journals
- European Journal of Medicinal Chemistry (5 papers)Journal of Medicinal Chemistry (5 papers)Bioorganic Chemistry (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Chinese Journal of Chemistry (1 paper)
- Partner nations
- ChinaSouth KoreaEthiopia
In The Last Decade
Dehua Lu
27 papers receiving 573 citations
Peers
Comparison fields: 5 of 73
- Oncology 165
- Immunology 109
- Molecular Biology 311
- Immunology and Allergy 22
- Cancer Research 49
Countries citing papers authored by Dehua Lu
This map shows the geographic impact of Dehua 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 Dehua Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehua Lu more than expected).
Fields of papers citing papers by Dehua Lu
This network shows the impact of papers produced by Dehua 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 Dehua Lu. The network helps show where Dehua Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehua 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 42 | |
| 4 | 2022 | 38 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 26 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 21 | |
| 12 | 2024 | 21 | |
| 13 | 2021 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2024 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 8 |
About Dehua Lu
Dehua Lu is a scholar working on Molecular Biology, Immunology, Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 575 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Protein Degradation and Inhibitors (4 papers), Galectins and Cancer Biology (3 papers), Cancer Research and Treatments (3 papers), Immune cells in cancer (3 papers), Protein Tyrosine Phosphatases (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Oncology (165 citations), Immunology (109 citations), Molecular Biology (311 citations), Immunology and Allergy (22 citations) and Cancer Research (49 citations). Dehua Lu has collaborated with scholars based in China, South Korea and Ethiopia. Frequent co-authors include Fucheng Yin, Zhaofei Liu, Lingyi Kong, Xingchen Liu, Shang Li, Xiaobing Wang, Lailiang Qu, Heng Luo, Yang Zhao and Yanpu Wang. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic Chemistry, European Journal of Nuclear Medicine and Molecular Imaging and Chinese Journal of Chemistry.
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.