Lu Lv
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Head and Neck Cancer Studies
Papers in
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- Circular RNAs in diseases 4
- Cancer-related gene regulation 4
- Surgery 6
- Co-authors
- Weifeng Tang (8 shared papers)Yijun Shi (6 shared papers)Jun Yin (6 shared papers)Lijie Tan (1 shared paper)Qiang Zhou (3 shared papers)Haiyong Gu (5 shared papers)Wei Li (4 shared papers)Yuxiu Li (5 shared papers)
- Journals
- Energy (3 papers)Frontiers in Oncology (2 papers)World Journal of Diabetes (2 papers)Oncotarget (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lu Lv
26 papers receiving 197 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 50
- Otorhinolaryngology 12
- Aging 4
- Endocrinology 7
- Molecular Biology 86
Countries citing papers authored by Lu Lv
This map shows the geographic impact of Lu 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 Lu Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Lv more than expected).
Fields of papers citing papers by Lu Lv
This network shows the impact of papers produced by Lu 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 Lu Lv. The network helps show where Lu Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 32 | |
| 2 | 2014 | 14 | |
| 3 | 2019 | 13 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2016 | 5 | |
| 18 | The Single Nucleotide Polymorphisms of AP1S1 are Associated with Risk of Esophageal Squamous Cell Carcinoma in Chinese Population | 2022 | 4 |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Lu Lv
Lu Lv is a scholar working on Molecular Biology, Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism and Physiology, having authored 31 papers that have together received 199 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (4 papers), Circular RNAs in diseases (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Nutrition and Health in Aging (3 papers), Diabetes Management and Research (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Cancer Research (50 citations), Otorhinolaryngology (12 citations), Aging (4 citations), Endocrinology (7 citations) and Molecular Biology (86 citations). Lu Lv has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weifeng Tang, Yijun Shi, Jun Yin, Lijie Tan, Qiang Zhou, Haiyong Gu, Wei Li, Yuxiu Li, Huabing Zhang and Tao Long. Their work appears in journals such as Energy, Frontiers in Oncology, World Journal of Diabetes, Oncotarget and Oxidative Medicine and Cellular Longevity.
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.