Xiaoming Lyu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 5%
Papers in
-
- RNA modifications and cancer 6
- Extracellular vesicles in disease 5
- Epigenetics and DNA Methylation 4
- Oncology 17
- Viral-associated cancers and disorders 10
- Co-authors
- Xin Li (20 shared papers)Menghe Miao (3 shared papers)Fenghua Su (3 shared papers)Siyu Lu (4 shared papers)Xianglong Hu (4 shared papers)Jinbang Li (6 shared papers)Da Xing (2 shared papers)Longmei Cai (5 shared papers)
- Journals
- Analytical Chemistry (3 papers)Journal of Translational Medicine (3 papers)Viruses (2 papers)Oncotarget (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoming Lyu
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 431
- Reproductive Medicine 89
- Oncology 256
- Molecular Biology 623
- Electronic, Optical and Magnetic Materials 134
Countries citing papers authored by Xiaoming Lyu
This map shows the geographic impact of Xiaoming Lyu'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 Xiaoming Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Lyu more than expected).
Fields of papers citing papers by Xiaoming Lyu
This network shows the impact of papers produced by Xiaoming Lyu. 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 Xiaoming Lyu. The network helps show where Xiaoming Lyu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Lyu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 111 | |
| 2 | 2018 | 89 | |
| 3 | 2014 | 79 | |
| 4 | 2020 | 75 | |
| 5 | 2020 | 71 | |
| 6 | 2016 | 66 | |
| 7 | 2014 | 64 | |
| 8 | 2013 | 58 | |
| 9 | 2015 | 55 | |
| 10 | 2016 | 46 | |
| 11 | 2015 | 46 | |
| 12 | 2017 | 43 | |
| 13 | 2016 | 42 | |
| 14 | 2020 | 36 | |
| 15 | 2019 | 35 | |
| 16 | 2020 | 32 | |
| 17 | 2018 | 31 | |
| 18 | 2013 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2020 | 24 |
About Xiaoming Lyu
Xiaoming Lyu is a scholar working on Molecular Biology, Oncology, Cancer Research, Biomedical Engineering and Epidemiology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), Biosensors and Analytical Detection (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Extracellular vesicles in disease (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (431 citations), Reproductive Medicine (89 citations), Oncology (256 citations), Molecular Biology (623 citations) and Electronic, Optical and Magnetic Materials (134 citations). Xiaoming Lyu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Li, Menghe Miao, Fenghua Su, Siyu Lu, Xianglong Hu, Jinbang Li, Da Xing, Longmei Cai, Weiyi Fang and Ming‐Liang He. Their work appears in journals such as Analytical Chemistry, Journal of Translational Medicine, Viruses, Oncotarget and Biomedicine & Pharmacotherapy.
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.