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
-
- 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)Jianwei Jiao (5 shared papers)Wei Lv (5 shared papers)Xing Fu (4 shared papers)Baiyang Chen (5 shared papers)Yuelu Jiang (4 shared papers)
- Journals
- Scientific Reports (6 papers)EXPERIMENTAL ANIMALS (3 papers)The Science of The Total Environment (3 papers)New Journal of Chemistry (3 papers)Journal of Materials Chemistry A (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaohui Lv
103 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 364
- Developmental Neuroscience 90
- Pollution 222
- Molecular Biology 1.1k
- Electrochemistry 93
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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 264 | |
| 2 | 2016 | 190 | |
| 3 | 2022 | 156 | |
| 4 | 2020 | 141 | |
| 5 | 2018 | 118 | |
| 6 | 2019 | 109 | |
| 7 | 2017 | 107 | |
| 8 | 2018 | 102 | |
| 9 | 2019 | 94 | |
| 10 | 2017 | 76 | |
| 11 | 2014 | 66 | |
| 12 | 2014 | 65 | |
| 13 | 2019 | 58 | |
| 14 | 2014 | 58 | |
| 15 | 2017 | 53 | |
| 16 | 2014 | 52 | |
| 17 | 2021 | 51 | |
| 18 | 2019 | 50 | |
| 19 | 2015 | 48 | |
| 20 | 2017 | 48 |
About Xiaohui Lv
Xiaohui Lv is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Immunology, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Nanoparticles: synthesis and applications (10 papers), Biosensors and Analytical Detection (6 papers), Advancements in Battery Materials (6 papers), Advanced Battery Materials and Technologies (6 papers), Advanced Nanomaterials in Catalysis (6 papers), Neuroendocrine regulation and behavior (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Cancer Research (364 citations), Developmental Neuroscience (90 citations), Pollution (222 citations), Molecular Biology (1.1k citations) and Electrochemistry (93 citations). Xiaohui Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoshan Zhu, Zhonghua Cai, Quan‐Hong Yang, Jianwei Jiao, Wei Lv, Xing Fu, Baiyang Chen, Yuelu Jiang, Qin Wei and Xin Guo. Their work appears in journals such as Scientific Reports, EXPERIMENTAL ANIMALS, The Science of The Total Environment, New Journal of Chemistry and Journal of Materials Chemistry A.
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.