Weiru Chi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
-
- Breast Cancer Treatment Studies 7
- Cancer-related molecular mechanisms research 5
- Cancer Genomics and Diagnostics 2
- Oncology 6
- HER2/EGFR in Cancer Research 5
- Cancer Cells and Metastasis 2
- Co-authors
- Jiong Wu (22 shared papers)Bingqiu Xiu (23 shared papers)Yayun Chi (19 shared papers)Rong Guo (12 shared papers)Lun Li (8 shared papers)Jingyan Xue (11 shared papers)Yonghui Su (10 shared papers)Jing Si (5 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Cancer Research (3 papers)European Journal of Surgical Oncology (3 papers)Cancer Medicine (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Weiru Chi
26 papers receiving 453 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 231
- Molecular Biology 184
- Surgery 106
- Oncology 50
- Immunology and Allergy 5
Countries citing papers authored by Weiru Chi
This map shows the geographic impact of Weiru Chi'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 Weiru Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiru Chi more than expected).
Fields of papers citing papers by Weiru Chi
This network shows the impact of papers produced by Weiru Chi. 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 Weiru Chi. The network helps show where Weiru Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiru Chi, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 172 | |
| 2 | 2019 | 81 | |
| 3 | 2021 | 34 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 26 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 2 |
About Weiru Chi
Weiru Chi is a scholar working on Cancer Research, Oncology, Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 454 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (5 papers), Cancer-related molecular mechanisms research (5 papers), Breast Implant and Reconstruction (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (231 citations), Molecular Biology (184 citations), Surgery (106 citations), Oncology (50 citations) and Immunology and Allergy (5 citations). Weiru Chi has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jiong Wu, Bingqiu Xiu, Yayun Chi, Rong Guo, Lun Li, Jingyan Xue, Yonghui Su, Jing Si, Jiajian Chen and Shenglin Huang. Their work appears in journals such as Frontiers in Oncology, Cancer Research, European Journal of Surgical Oncology, Cancer Medicine and Cancer Cell International.
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.