Xiaolong Lv
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Bacterial biofilms and quorum sensing 3
- CRISPR and Genetic Engineering 3
-
- Chromosomal and Genetic Variations 4
- Plant Molecular Biology Research 2
- Plant Stress Responses and Tolerance 2
- Co-authors
- Zhongyuan Hu (3 shared papers)Jinghua Yang (3 shared papers)Mingfang Zhang (4 shared papers)Kezong Qi (4 shared papers)Zhaoguo Chen (4 shared papers)Yan Huang (4 shared papers)Xiangan Han (4 shared papers)Jiangang Hu (4 shared papers)
- Journals
- Veterinary Microbiology (2 papers)Probabilistic Engineering Mechanics (1 paper)Microbial Pathogenesis (1 paper)Scientific Reports (1 paper)Journal of the Science of Food and Agriculture (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiaolong Lv
19 papers receiving 248 citations
Peers
Comparison fields: 5 of 78
- Endocrinology 33
- Microbiology 20
- Molecular Medicine 16
- Aging 4
- Plant Science 84
Countries citing papers authored by Xiaolong Lv
This map shows the geographic impact of Xiaolong 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 Xiaolong Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Lv more than expected).
Fields of papers citing papers by Xiaolong Lv
This network shows the impact of papers produced by Xiaolong 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 Xiaolong Lv. The network helps show where Xiaolong Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2016 | 41 | |
| 3 | 2018 | 21 | |
| 4 | 2019 | 19 | |
| 5 | 2023 | 18 | |
| 6 | 2017 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Xiaolong Lv
Xiaolong Lv is a scholar working on Molecular Biology, Plant Science, Genetics, Microbiology and Civil and Structural Engineering, having authored 20 papers that have together received 249 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Bacterial biofilms and quorum sensing (3 papers), Bacterial Genetics and Biotechnology (3 papers), CRISPR and Genetic Engineering (3 papers), Plant Molecular Biology Research (2 papers), Bacteriophages and microbial interactions (2 papers), Dam Engineering and Safety (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Endocrinology (33 citations), Microbiology (20 citations), Molecular Medicine (16 citations), Aging (4 citations) and Plant Science (84 citations). Xiaolong Lv has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Zhongyuan Hu, Jinghua Yang, Mingfang Zhang, Kezong Qi, Zhaoguo Chen, Yan Huang, Xiangan Han, Jiangang Hu, Jiakun Zuo and Rongsheng Mi. Their work appears in journals such as Veterinary Microbiology, Probabilistic Engineering Mechanics, Microbial Pathogenesis, Scientific Reports and Journal of the Science of Food and Agriculture.
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.