Wei Lv
Impact in
-
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- S100 Proteins and Annexins 2
- Oncology 8
- Cancer-related Molecular Pathways 2
- Co-authors
- Qingwei Meng (3 shared papers)Guobin Wang (1 shared paper)Zhengang Tang (1 shared paper)Yue Liu (1 shared paper)Nana Ma (2 shared papers)Zhenhua Zhang (2 shared papers)Xinyang Wang (3 shared papers)Haifei Chen (2 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Environmental Science and Pollution Research (2 papers)Parasites & Vectors (1 paper)Scientific Reports (1 paper)Clinical Colorectal Cancer (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei Lv
35 papers receiving 601 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 102
- Biochemistry 38
- Toxicology 18
- Complementary and alternative medicine 35
- Oncology 110
Countries citing papers authored by Wei Lv
This map shows the geographic impact of Wei 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 Wei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lv more than expected).
Fields of papers citing papers by Wei Lv
This network shows the impact of papers produced by Wei 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 Wei Lv. The network helps show where Wei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2020 | 76 | |
| 3 | 2020 | 40 | |
| 4 | 2024 | 36 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 29 | |
| 8 | 2017 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2016 | 9 |
About Wei Lv
Wei Lv is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Plant Science, having authored 38 papers that have together received 607 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant Molecular Biology Research (3 papers), Plant nutrient uptake and metabolism (3 papers), Cancer, Lipids, and Metabolism (3 papers), S100 Proteins and Annexins (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (102 citations), Biochemistry (38 citations), Toxicology (18 citations), Complementary and alternative medicine (35 citations) and Oncology (110 citations). Wei Lv has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qingwei Meng, Guobin Wang, Zhengang Tang, Yue Liu, Nana Ma, Zhenhua Zhang, Xinyang Wang, Haifei Chen, Minmin Yang and Jianbin Ma. Their work appears in journals such as Frontiers in Plant Science, Environmental Science and Pollution Research, Parasites & Vectors, Scientific Reports and Clinical Colorectal Cancer.
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.