Sen Lu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in ⓘ
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 9
- Co-authors
- Xinli Huang (15 shared papers)Jianjie Qin (7 shared papers)Xuehao Wang (7 shared papers)Yun Gao (3 shared papers)Jiaojiao Hu (6 shared papers)Yun Gao (1 shared paper)Hong Fan (5 shared papers)Xuemei Qiu (4 shared papers)
- Journals
- Theriogenology (2 papers)Animal Reproduction Science (2 papers)Molecular Biology Reports (2 papers)Oncology Reports (2 papers)Molecular and Cellular Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Sen Lu
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 654
- Hepatology 114
- Biochemistry 102
- Genetics 135
- Molecular Biology 870
Countries citing papers authored by Sen Lu
This map shows the geographic impact of Sen Lu'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 Sen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Lu more than expected).
Fields of papers citing papers by Sen Lu
This network shows the impact of papers produced by Sen Lu. 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 Sen Lu. The network helps show where Sen Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Lu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2017 | 96 | |
| 3 | 2014 | 95 | |
| 4 | 2017 | 86 | |
| 5 | 2020 | 85 | |
| 6 | 2010 | 78 | |
| 7 | 2014 | 66 | |
| 8 | 2014 | 64 | |
| 9 | Up-regulation of miR-877 induced by paclitaxel inhibits hepatocellular carcinoma cell proliferation though targeting FOXM1. | 2015 | 50 |
| 10 | 2017 | 45 | |
| 11 | 2018 | 38 | |
| 12 | Magnesium isoglycyrrhizinate protects hepatic L02 cells from ischemia/reperfusion induced injury. | 2014 | 38 |
| 13 | 2014 | 33 | |
| 14 | 2008 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2013 | 32 | |
| 17 | 2020 | 30 | |
| 18 | 2014 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2016 | 29 |
About Sen Lu
Sen Lu is a scholar working on Cancer Research, Hepatology, Applied Microbiology and Biotechnology, Reproductive Medicine and Molecular Biology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (9 papers), Organ Transplantation Techniques and Outcomes (8 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (6 papers), Reproductive Biology and Fertility (5 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Cancer Research (654 citations), Hepatology (114 citations), Biochemistry (102 citations), Genetics (135 citations) and Molecular Biology (870 citations). Sen Lu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xinli Huang, Jianjie Qin, Xuehao Wang, Yun Gao, Yun Gao, Jiaojiao Hu, Yun Gao, Hong Fan, Xuemei Qiu and Pihai Gong. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Molecular Biology Reports, Oncology Reports and Molecular and Cellular Biochemistry.
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.