Chao Lü
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
Papers in
-
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 3
- Oncology 14
- Peptidase Inhibition and Analysis 6
- Co-authors
- Chune Ren (12 shared papers)Zhenhai Yu (13 shared papers)Pengyun Qiao (7 shared papers)Yonghong Sun (7 shared papers)Xue Han (6 shared papers)Tingting Yang (5 shared papers)Jianfeng Hou (1 shared paper)Chenguang Yang (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Cell Death and Differentiation (2 papers)Frontiers of Medicine (2 papers)Frontiers in Oncology (2 papers)Cancer Imaging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chao Lü
41 papers receiving 997 citations
Peers
Comparison fields: 5 of 123
- Cancer Research 332
- Reproductive Medicine 119
- Obstetrics and Gynecology 84
- Immunology 181
- Molecular Biology 567
Countries citing papers authored by Chao Lü
This map shows the geographic impact of Chao Lü'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 Chao Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Lü more than expected).
Fields of papers citing papers by Chao Lü
This network shows the impact of papers produced by Chao Lü. 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 Chao Lü. The network helps show where Chao Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Lü, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 265 | |
| 2 | 2021 | 78 | |
| 3 | 2019 | 72 | |
| 4 | 2022 | 63 | |
| 5 | 2021 | 42 | |
| 6 | 2020 | 40 | |
| 7 | 2023 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 31 | |
| 11 | 2008 | 30 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2020 | 19 | |
| 17 | 2010 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2018 | 17 |
About Chao Lü
Chao Lü is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (8 papers), Peptidase Inhibition and Analysis (6 papers), Estrogen and related hormone effects (4 papers), Ubiquitin and proteasome pathways (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Cancer Mechanisms and Therapy (3 papers), Epigenetics and DNA Methylation (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (332 citations), Reproductive Medicine (119 citations), Obstetrics and Gynecology (84 citations), Immunology (181 citations) and Molecular Biology (567 citations). Chao Lü has collaborated with scholars based in China and United States. Frequent co-authors include Chune Ren, Zhenhai Yu, Pengyun Qiao, Yonghong Sun, Xue Han, Tingting Yang, Jianfeng Hou, Chenguang Yang, Weihua Ren and Hanjun Wang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Cell Death and Differentiation, Frontiers of Medicine, Frontiers in Oncology and Cancer Imaging.
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.