Weiru Chi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in ⓘ
-
- Breast Cancer Treatment Studies 11
- Cancer-related molecular mechanisms research 6
- Oncology 9
- HER2/EGFR in Cancer Research 6
- Cancer Treatment and Pharmacology 3
- Co-authors
- Jiong Wu (22 shared papers)Bingqiu Xiu (21 shared papers)Rong Guo (12 shared papers)Yayun Chi (18 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)European Journal of Surgical Oncology (3 papers)Cancer Medicine (2 papers)Cancer Cell International (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Weiru Chi
26 papers receiving 432 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 290
- Molecular Biology 221
- Oncology 80
- Surgery 124
- Pathology and Forensic Medicine 43
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2019 | 76 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Weiru Chi
Weiru Chi is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Surgery, having authored 28 papers that have together received 434 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (6 papers), Cancer-related molecular mechanisms research (6 papers), Breast Implant and Reconstruction (5 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), RNA modifications and cancer (4 papers), Cancer Treatment and Pharmacology (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (290 citations), Molecular Biology (221 citations), Oncology (80 citations), Surgery (124 citations) and Pathology and Forensic Medicine (43 citations). Weiru Chi has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jiong Wu, Bingqiu Xiu, Rong Guo, Yayun Chi, Lun Li, Jingyan Xue, Yonghui Su, Jing Si, Shenglin Huang and Jiajian Chen. Their work appears in journals such as Frontiers in Oncology, European Journal of Surgical Oncology, Cancer Medicine, Cancer Cell International and Cancer Research.
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.