Xun‐Xi Lu
Impact in
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- Mesenchymal stem cell research
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- Breast Cancer Treatment Studies
Papers in
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- Breast Cancer Treatment Studies 13
- Cancer Genomics and Diagnostics 3
- Oncology 12
- Cancer Immunotherapy and Biomarkers 5
- HER2/EGFR in Cancer Research 4
- Co-authors
- Mengting He (5 shared papers)Jin Liu (2 shared papers)Lin Wan (2 shared papers)Xin Hu (4 shared papers)Xiaoguang Li (3 shared papers)Luoting Yu (3 shared papers)Li Zeng (1 shared paper)Zhi‐Ming Shao (2 shared papers)
- Journals
- The Breast (3 papers)Scientific Reports (2 papers)Cancer Research (2 papers)International Journal of Gynecological Cancer (1 paper)Cancer (1 paper)
- Partner nations
- ChinaDemocratic Republic of the CongoUnited Kingdom
In The Last Decade
Xun‐Xi Lu
20 papers receiving 182 citations
Peers
Comparison fields: 5 of 46
- Genetics 55
- Cancer Research 66
- Oncology 62
- Urology 11
- Pathology and Forensic Medicine 27
Countries citing papers authored by Xun‐Xi Lu
This map shows the geographic impact of Xun‐Xi 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 Xun‐Xi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun‐Xi Lu more than expected).
Fields of papers citing papers by Xun‐Xi Lu
This network shows the impact of papers produced by Xun‐Xi 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 Xun‐Xi Lu. The network helps show where Xun‐Xi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun‐Xi 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 45 | |
| 2 | 2021 | 32 | |
| 3 | 2006 | 15 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | A novel risk model based on immune response predicts clinical outcomes and characterizes immunophenotypes in triple-negative breast cancer. | 2022 | 1 |
| 19 | 2017 | 1 | |
| 20 | 2006 | 1 |
About Xun‐Xi Lu
Xun‐Xi Lu is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 26 papers that have together received 184 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), Cancer Immunotherapy and Biomarkers (5 papers), Breast Lesions and Carcinomas (5 papers), HER2/EGFR in Cancer Research (4 papers), Breast Implant and Reconstruction (4 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Breast Cancer Therapies (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Genetics (55 citations), Cancer Research (66 citations), Oncology (62 citations), Urology (11 citations) and Pathology and Forensic Medicine (27 citations). Xun‐Xi Lu has collaborated with scholars based in China, Democratic Republic of the Congo and United Kingdom. Frequent co-authors include Mengting He, Jin Liu, Lin Wan, Xin Hu, Xiaoguang Li, Luoting Yu, Li Zeng, Zhi‐Ming Shao, Bi Lian and Xi Jin. Their work appears in journals such as The Breast, Scientific Reports, Cancer Research, International Journal of Gynecological Cancer and Cancer.
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.