Dehua Lu
Impact in
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- PARP inhibition in cancer therapy
- Cancer Immunotherapy and Biomarkers
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- Immune cells in cancer
Papers in
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- Protein Degradation and Inhibitors 4
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 2
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- Galectins and Cancer Biology 3
- Immune cells in cancer 3
- Co-authors
- Shang Li (11 shared papers)Fucheng Yin (11 shared papers)Lingyi Kong (11 shared papers)Xingchen Liu (10 shared papers)Xiaobing Wang (11 shared papers)Zhaofei Liu (8 shared papers)Lailiang Qu (8 shared papers)Heng Luo (9 shared papers)
- Journals
- European Journal of Medicinal Chemistry (7 papers)Journal of Medicinal Chemistry (6 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Bioorganic Chemistry (2 papers)
- Partner nations
- ChinaEthiopiaSouth Korea
In The Last Decade
Dehua Lu
32 papers receiving 629 citations
Peers
Comparison fields: 5 of 76
- Oncology 159
- Immunology 104
- Molecular Biology 299
- Immunology and Allergy 21
- Cancer Research 44
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2021 | 61 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 40 | |
| 5 | 2022 | 39 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 34 | |
| 8 | 2020 | 29 | |
| 9 | 2021 | 28 | |
| 10 | 2024 | 27 | |
| 11 | 2022 | 27 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2024 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 9 |
About Dehua Lu
Dehua Lu is a scholar working on Molecular Biology, Immunology, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 632 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Nanoplatforms for cancer theranostics (4 papers), Galectins and Cancer Biology (3 papers), Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Cancer Research and Treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Oncology (159 citations), Immunology (104 citations), Molecular Biology (299 citations), Immunology and Allergy (21 citations) and Cancer Research (44 citations). Dehua Lu has collaborated with scholars based in China, Ethiopia and South Korea. Frequent co-authors include Shang Li, Fucheng Yin, Lingyi Kong, Xingchen Liu, Xiaobing Wang, Zhaofei Liu, Lailiang Qu, Heng Luo, Xinye Chen and Yang Zhao. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, European Journal of Nuclear Medicine and Molecular Imaging, IEEE Transactions on Instrumentation and Measurement and Bioorganic 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.