Xiaona Lu
Impact in
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- Cancer-related molecular mechanisms research
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- Pharmacological Effects of Natural Compounds
Papers in
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- Ubiquitin and proteasome pathways 2
- Oncology 6
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Peng Shu (8 shared papers)Wenjie Huang (8 shared papers)Fang Wen (7 shared papers)Xiaoxue Chen (3 shared papers)Yawei Zheng (2 shared papers)Hai Feng (7 shared papers)Zhuo Yu (7 shared papers)Miao Liu (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (2 papers)Scientific Reports (2 papers)Pharmaceuticals (1 paper)Cell Reports (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaona Lu
21 papers receiving 268 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 40
- Pharmacology 19
- Complementary and alternative medicine 17
- Molecular Biology 106
- Oncology 38
Countries citing papers authored by Xiaona Lu
This map shows the geographic impact of Xiaona 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 Xiaona Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaona Lu more than expected).
Fields of papers citing papers by Xiaona Lu
This network shows the impact of papers produced by Xiaona 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 Xiaona Lu. The network helps show where Xiaona Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaona 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 35 | |
| 2 | 2021 | 33 | |
| 3 | 2020 | 32 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2024 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 1 |
About Xiaona Lu
Xiaona Lu is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Cancer Research, having authored 22 papers that have together received 270 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Ubiquitin and proteasome pathways (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Chromatography in Natural Products (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Traditional Chinese Medicine Analysis (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (40 citations), Pharmacology (19 citations), Complementary and alternative medicine (17 citations), Molecular Biology (106 citations) and Oncology (38 citations). Xiaona Lu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Peng Shu, Wenjie Huang, Fang Wen, Xiaoxue Chen, Yawei Zheng, Hai Feng, Zhuo Yu, Miao Liu, Jiani Huang and Enbo Wang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Scientific Reports, Pharmaceuticals, Cell Reports and Free Radical Biology and Medicine.
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.