Qing Lv
- Molecular Biology
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Co-authors
- Lei ZhangYi ZhangCato T. LaurencinLakshmi S. NairZhenggui DuQiuwen TanXiaofeng QiYong Pi
- Topics
- Breast Cancer Treatment Studies (14 papers)AI in cancer detection (9 papers)Breast Lesions and Carcinomas (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qing Lv
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 404
- Biomedical Engineering 327
- Artificial Intelligence 320
- Radiology, Nuclear Medicine and Imaging 287
- Surgery 264
Countries citing papers authored by Qing Lv
This map shows the geographic impact of Qing Lv'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 Qing Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lv more than expected).
Fields of papers citing papers by Qing Lv
This network shows the impact of papers produced by Qing Lv. 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 Qing Lv. The network helps show where Qing Lv may publish in the future.
Co-authorship network of co-authors of Qing Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lv. A scholar is included among the top collaborators of Qing Lv 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 Qing Lv. Qing Lv 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 | 13 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | Application of Carbon Nanoparticles in Tracing Lymph Nodes and Locating Tumors in Colorectal Cancer: A Concise Review | 1 |
| 11 | 19 | |
| 12 | Enhanced transdermal delivery of lornoxicam by nanostructured lipid carrier gels modified with polyarginine peptide for treatment of carrageenan-induced rat paw edema | 3 |
| 13 | 49 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 179 | |
| 18 | 4 | |
| 19 | 37 | |
| 20 | 138 |
About Qing Lv
Qing Lv is a scholar working on Cancer Research, Fuel Technology and Health Informatics, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), AI in cancer detection (9 papers) and Breast Lesions and Carcinomas (8 papers). The work is most often cited by research in Health Informatics (23 citations), Biomaterials (214 citations) and Cancer Research (230 citations). Qing Lv has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lei Zhang, Yi Zhang, Cato T. Laurencin, Lakshmi S. Nair, Zhenggui Du, Qiuwen Tan, Xiaofeng Qi, Yong Pi, Zizhou Wang and Yi Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.