Xiaohui Lv
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in
-
- Advanced biosensing and bioanalysis techniques 13
- Circular RNAs in diseases 6
-
- Nanoparticles: synthesis and applications 10
- Advanced Nanomaterials in Catalysis 6
- Co-authors
- Xiaoshan Zhu (10 shared papers)Zhonghua Cai (9 shared papers)Quan‐Hong Yang (6 shared papers)Wei Lv (5 shared papers)Jianwei Jiao (5 shared papers)Yi Tao (3 shared papers)Baiyang Chen (5 shared papers)Yuelu Jiang (4 shared papers)
- Journals
- Scientific Reports (6 papers)EXPERIMENTAL ANIMALS (3 papers)New Journal of Chemistry (3 papers)The Science of The Total Environment (3 papers)Cell Death Discovery (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaohui Lv
98 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 405
- Developmental Neuroscience 84
- Pollution 210
- Molecular Biology 1.1k
- Electrochemistry 91
Countries citing papers authored by Xiaohui Lv
This map shows the geographic impact of Xiaohui 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 Xiaohui Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Lv more than expected).
Fields of papers citing papers by Xiaohui Lv
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Lv. The network helps show where Xiaohui Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Lv, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 252 | |
| 2 | 2016 | 180 | |
| 3 | 2022 | 140 | |
| 4 | 2020 | 137 | |
| 5 | 2018 | 116 | |
| 6 | 2017 | 104 | |
| 7 | 2019 | 103 | |
| 8 | 2018 | 95 | |
| 9 | 2019 | 91 | |
| 10 | 2017 | 75 | |
| 11 | 2014 | 61 | |
| 12 | 2014 | 60 | |
| 13 | 2014 | 55 | |
| 14 | 2019 | 55 | |
| 15 | 2019 | 50 | |
| 16 | 2014 | 50 | |
| 17 | 2021 | 47 | |
| 18 | 2015 | 47 | |
| 19 | 2017 | 46 | |
| 20 | 2017 | 45 |
About Xiaohui Lv
Xiaohui Lv is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Cancer Research, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Nanoparticles: synthesis and applications (10 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (6 papers), Advanced Battery Materials and Technologies (6 papers), Biosensors and Analytical Detection (6 papers), Advancements in Battery Materials (6 papers) and Advanced Nanomaterials in Catalysis (6 papers). The work is most often cited by research in Cancer Research (405 citations), Developmental Neuroscience (84 citations), Pollution (210 citations), Molecular Biology (1.1k citations) and Electrochemistry (91 citations). Xiaohui Lv has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaoshan Zhu, Zhonghua Cai, Quan‐Hong Yang, Wei Lv, Jianwei Jiao, Yi Tao, Baiyang Chen, Yuelu Jiang, Xing Fu and Xin Guo. Their work appears in journals such as Scientific Reports, EXPERIMENTAL ANIMALS, New Journal of Chemistry, The Science of The Total Environment and Cell Death Discovery.
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.