Le Qu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Dermatology top 5%
- Dermatologic Treatments and Research
Papers in
-
- Renal and related cancers 6
- Epigenetics and DNA Methylation 4
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
-
- Renal cell carcinoma treatment 18
- Ferroptosis and cancer prognosis 7
- Co-authors
- Zhenjie Wu (14 shared papers)Linhui Wang (22 shared papers)Yi Bao (8 shared papers)Bing Liu (8 shared papers)Linhui Wang (13 shared papers)Anbang Wang (10 shared papers)Deng-Shuang Wu (5 shared papers)Cheng Chen (3 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Frontiers in Immunology (3 papers)Oncology Reports (2 papers)Medicine (2 papers)Biomedicines (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Le Qu
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 578
- Dermatology 105
- Pulmonary and Respiratory Medicine 338
- Molecular Biology 756
- Oncology 186
Countries citing papers authored by Le Qu
This map shows the geographic impact of Le Qu'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 Le Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Qu more than expected).
Fields of papers citing papers by Le Qu
This network shows the impact of papers produced by Le Qu. 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 Le Qu. The network helps show where Le Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Qu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2012 | 122 | |
| 3 | 2017 | 106 | |
| 4 | 2019 | 104 | |
| 5 | 2016 | 102 | |
| 6 | 2014 | 102 | |
| 7 | 2016 | 99 | |
| 8 | 2021 | 80 | |
| 9 | 2022 | 62 | |
| 10 | 2022 | 43 | |
| 11 | 2022 | 38 | |
| 12 | 2022 | 38 | |
| 13 | 2016 | 36 | |
| 14 | 2016 | 30 | |
| 15 | 2016 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2023 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2022 | 21 |
About Le Qu
Le Qu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Immunology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (18 papers), Cancer-related molecular mechanisms research (7 papers), Ferroptosis and cancer prognosis (7 papers), Cancer Genomics and Diagnostics (7 papers), Renal and related cancers (6 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (578 citations), Dermatology (105 citations), Pulmonary and Respiratory Medicine (338 citations), Molecular Biology (756 citations) and Oncology (186 citations). Le Qu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Zhenjie Wu, Linhui Wang, Yi Bao, Bing Liu, Linhui Wang, Anbang Wang, Deng-Shuang Wu, Cheng Chen, Jiazi Shi and Sha Sha. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Oncology Reports, Medicine and Biomedicines.
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.