Long Lv
Impact in
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- Liver physiology and pathology
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 2
- RNA modifications and cancer 2
- Surgery 5
- Co-authors
- Beicheng Sun (3 shared papers)Bo Liu (1 shared paper)Ping Wang (1 shared paper)Jun Li (1 shared paper)Jianping Gong (1 shared paper)Jianping Zhou (1 shared paper)Gong Chen (1 shared paper)Qianghui Liu (1 shared paper)
- Journals
- Tumor Biology (3 papers)Journal of Affective Disorders (2 papers)Frontiers in Nutrition (2 papers)Journal of Pharmacy and Pharmacology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomSaudi Arabia
In The Last Decade
Long Lv
22 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Hepatology 41
- Cancer Research 77
- Immunology 55
- Molecular Biology 133
- Oncology 51
Countries citing papers authored by Long Lv
This map shows the geographic impact of Long 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 Long Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Lv more than expected).
Fields of papers citing papers by Long Lv
This network shows the impact of papers produced by Long 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 Long Lv. The network helps show where Long Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2015 | 50 | |
| 3 | 2015 | 32 | |
| 4 | 2017 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2021 | 14 | |
| 7 | 2013 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2013 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 2 |
About Long Lv
Long Lv is a scholar working on Molecular Biology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 331 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Circular RNAs in diseases (2 papers), RNA modifications and cancer (2 papers), Nutritional Studies and Diet (2 papers), Folate and B Vitamins Research (2 papers), Chronic Kidney Disease and Diabetes (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Hepatology (41 citations), Cancer Research (77 citations), Immunology (55 citations), Molecular Biology (133 citations) and Oncology (51 citations). Long Lv has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Beicheng Sun, Bo Liu, Ping Wang, Jun Li, Jianping Gong, Jianping Zhou, Gong Chen, Qianghui Liu, Valérie Quesniaux and Bernhard Ryffel. Their work appears in journals such as Tumor Biology, Journal of Affective Disorders, Frontiers in Nutrition, Journal of Pharmacy and Pharmacology and Scientific Reports.
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.