Xinran Lv
Impact in
- Food Science top 2%
- Probiotics and Fermented Foods
- Fermentation and Sensory Analysis
- Nutrition and Dietetics top 10%
- Microbial Metabolites in Food Biotechnology
- Food composition and properties
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Protein Hydrolysis and Bioactive Peptides 6
- Food Science 12
- Probiotics and Fermented Foods 7
- Co-authors
- Fengling Bai (12 shared papers)Jianrong Li (8 shared papers)Xuepeng Li (11 shared papers)Bolin Zhang (3 shared papers)Tianqi Cui (3 shared papers)Tingting Ma (4 shared papers)Tian Lan (4 shared papers)Xiangyu Sun (4 shared papers)
- Journals
- LWT (5 papers)Food Bioscience (2 papers)Ultrasonics Sonochemistry (1 paper)Food Chemistry X (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xinran Lv
30 papers receiving 562 citations
Peers
Comparison fields: 5 of 85
- Food Science 337
- Nutrition and Dietetics 157
- Animal Science and Zoology 77
- Biotechnology 63
- Microbiology 32
Countries citing papers authored by Xinran Lv
This map shows the geographic impact of Xinran 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 Xinran Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinran Lv more than expected).
Fields of papers citing papers by Xinran Lv
This network shows the impact of papers produced by Xinran 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 Xinran Lv. The network helps show where Xinran Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinran 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2019 | 65 | |
| 3 | 2022 | 54 | |
| 4 | 2019 | 53 | |
| 5 | 2017 | 47 | |
| 6 | 2023 | 44 | |
| 7 | 2017 | 40 | |
| 8 | 2018 | 30 | |
| 9 | 2023 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2023 | 18 | |
| 12 | 2024 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Xinran Lv
Xinran Lv is a scholar working on Molecular Biology, Food Science, Electrical and Electronic Engineering, Materials Chemistry and Animal Science and Zoology, having authored 33 papers that have together received 569 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (7 papers), Bacterial biofilms and quorum sensing (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Vibrio bacteria research studies (4 papers), Meat and Animal Product Quality (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Advanced materials and composites (3 papers) and Perovskite Materials and Applications (3 papers). The work is most often cited by research in Food Science (337 citations), Nutrition and Dietetics (157 citations), Animal Science and Zoology (77 citations), Biotechnology (63 citations) and Microbiology (32 citations). Xinran Lv has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fengling Bai, Jianrong Li, Xuepeng Li, Bolin Zhang, Tianqi Cui, Tingting Ma, Tian Lan, Xiangyu Sun, Defu Zhang and Qinyu Zhao. Their work appears in journals such as LWT, Food Bioscience, Ultrasonics Sonochemistry, Food Chemistry X and International Journal of Biological Macromolecules.
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.