Pengfei Qiu
- Cancer Research top 10%
- Oncology
- Pathology and Forensic Medicine top 10%
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Co-authors
- Yongqiang LyuDongsheng WangGang QuYongsheng WangYanbing LiuXiao SunChunjian WangTong Zhao
- Topics
- Breast Cancer Treatment Studies (33 papers)Breast Lesions and Carcinomas (22 papers)HER2/EGFR in Cancer Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaMedicineAnnals of Surgical Oncology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pengfei Qiu
48 papers receiving 416 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 211
- Oncology 134
- Pathology and Forensic Medicine 123
- Artificial Intelligence 115
- Hardware and Architecture 73
Countries citing papers authored by Pengfei Qiu
This map shows the geographic impact of Pengfei Qiu'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 Pengfei Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Qiu more than expected).
Fields of papers citing papers by Pengfei Qiu
This network shows the impact of papers produced by Pengfei Qiu. 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 Pengfei Qiu. The network helps show where Pengfei Qiu may publish in the future.
Co-authorship network of co-authors of Pengfei Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Qiu. A scholar is included among the top collaborators of Pengfei Qiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengfei Qiu. Pengfei Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | Advances in diagnosis and treatment of internal mammary lymph node of breast cancer | 3 |
| 16 | 15 | |
| 17 | Validation study of the modified injection technique for internal mammary sentinel lymph node biopsy in breast cancer | 2 |
| 18 | 20 | |
| 19 | 22 | |
| 20 | 3 |
About Pengfei Qiu
Pengfei Qiu is a scholar working on Cancer Research, Pathology and Forensic Medicine and Hardware and Architecture, having authored 52 papers that have together received 420 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (33 papers), Breast Lesions and Carcinomas (22 papers) and HER2/EGFR in Cancer Research (9 papers). The work is most often cited by research in Cancer Research (211 citations), Hardware and Architecture (73 citations) and Pathology and Forensic Medicine (123 citations). Pengfei Qiu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongqiang Lyu, Dongsheng Wang, Gang Qu, Yongsheng Wang, Yanbing Liu, Xiao Sun, Chunjian Wang, Tong Zhao, Jiliang Zhang and Yingying Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and Annals of Surgical Oncology.
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.