Ming Lv
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Interference and Gene Delivery 5
- Cell death mechanisms and regulation 5
- Advanced biosensing and bioanalysis techniques 4
- Melanoma and MAPK Pathways 3
- Oncology 13
- HER2/EGFR in Cancer Research 3
- Co-authors
- Jiannan Feng (17 shared papers)Bing Shen (16 shared papers)Jing Wang (6 shared papers)Jiyan Zhang (5 shared papers)Xinying Li (5 shared papers)Chunxia Qiao (11 shared papers)Qingyang Wang (4 shared papers)Yan Wang (1 shared paper)
- Journals
- Technology in Cancer Research & Treatment (2 papers)Cellular and Molecular Immunology (2 papers)Oncology Reports (2 papers)Frontiers in Pharmacology (2 papers)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ming Lv
46 papers receiving 679 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 125
- Aging 11
- Molecular Biology 369
- Complementary and alternative medicine 42
- Immunology 107
Countries citing papers authored by Ming Lv
This map shows the geographic impact of Ming 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 Ming Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lv more than expected).
Fields of papers citing papers by Ming Lv
This network shows the impact of papers produced by Ming 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 Ming Lv. The network helps show where Ming Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2012 | 57 | |
| 3 | 2016 | 48 | |
| 4 | 2009 | 40 | |
| 5 | 2017 | 36 | |
| 6 | 2015 | 26 | |
| 7 | 2016 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 22 | |
| 10 | 2023 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2015 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2010 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 14 |
About Ming Lv
Ming Lv is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 691 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (5 papers), Cell death mechanisms and regulation (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Melanoma and MAPK Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers), Immune Cell Function and Interaction (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Cancer Research (125 citations), Aging (11 citations), Molecular Biology (369 citations), Complementary and alternative medicine (42 citations) and Immunology (107 citations). Ming Lv has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jiannan Feng, Bing Shen, Jing Wang, Jiyan Zhang, Xinying Li, Chunxia Qiao, Qingyang Wang, Yan Wang, Liqian Sun and Manman Zhao. Their work appears in journals such as Technology in Cancer Research & Treatment, Cellular and Molecular Immunology, Oncology Reports, Frontiers in Pharmacology and Journal of Pharmaceutical Sciences.
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.