Dayun Lu
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
- DNA Repair Mechanisms
Papers in
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- Ubiquitin and proteasome pathways 6
- DNA Repair Mechanisms 1
- Oncology 6
- Cancer-related Molecular Pathways 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Hu Zhou (12 shared papers)Da‐Qiang Li (2 shared papers)Qin Lu (2 shared papers)Hongwen Zhu (9 shared papers)George Rosenberger (1 shared paper)Chongde Wu (1 shared paper)Qian Ba (1 shared paper)Barbora Šalovská (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Oncogene (1 paper)Acta Pharmacologica Sinica (1 paper)PROTEOMICS (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dayun Lu
17 papers receiving 231 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 31
- Molecular Biology 151
- Spectroscopy 31
- Oncology 45
- Cell Biology 16
Countries citing papers authored by Dayun Lu
This map shows the geographic impact of Dayun 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 Dayun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayun Lu more than expected).
Fields of papers citing papers by Dayun Lu
This network shows the impact of papers produced by Dayun 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 Dayun Lu. The network helps show where Dayun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayun 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 | 2020 | 75 | |
| 2 | 2019 | 27 | |
| 3 | 2023 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2022 | 17 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 1 |
About Dayun Lu
Dayun Lu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cell Biology and Genetics, having authored 17 papers that have together received 233 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Advanced Proteomics Techniques and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Peptidase Inhibition and Analysis (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (31 citations), Molecular Biology (151 citations), Spectroscopy (31 citations), Oncology (45 citations) and Cell Biology (16 citations). Dayun Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hu Zhou, Da‐Qiang Li, Qin Lu, Hongwen Zhu, George Rosenberger, Chongde Wu, Qian Ba, Barbora Šalovská, Yansheng Liu and Pingfu Hou. Their work appears in journals such as Journal of Proteome Research, Biochemical and Biophysical Research Communications, Oncogene, Acta Pharmacologica Sinica and PROTEOMICS.
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.