Lei Lv
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 2%
Papers in
-
- Epigenetics and DNA Methylation 20
- RNA modifications and cancer 13
- Ubiquitin and proteasome pathways 6
- Immunology 21
- Co-authors
- Yue Xiong (10 shared papers)Yanping Xu (19 shared papers)Qun‐Ying Lei (9 shared papers)Kun‐Liang Guan (6 shared papers)Di Zhao (3 shared papers)Xin Zhou (2 shared papers)Ruiting Lin (2 shared papers)Qian Bu (9 shared papers)
- Journals
- Molecular Cell (6 papers)Cell Death and Disease (4 papers)Journal of General Virology (3 papers)Frontiers in Immunology (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Lei Lv
121 papers receiving 3.9k citations
Lei Lv's Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 896
- Geriatrics and Gerontology 162
- Molecular Biology 2.3k
- Developmental Neuroscience 112
- Biological Psychiatry 61
Countries citing papers authored by Lei Lv
This map shows the geographic impact of Lei 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 Lei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Lv more than expected).
Fields of papers citing papers by Lei Lv
This network shows the impact of papers produced by Lei 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 Lei Lv. The network helps show where Lei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 483 | |
| 2 | 2013 | 260 | |
| 3 | 2015 | 224 | |
| 4 | 2019 | 181 | |
| 5 | D-mannose facilitates immunotherapy and radiotherapy of triple-negative breast cancer via degradation of PD-L1 Hit paper breakdown → | 2022 | 160 |
| 6 | 2014 | 128 | |
| 7 | 2012 | 106 | |
| 8 | 2012 | 85 | |
| 9 | 2014 | 83 | |
| 10 | 2011 | 77 | |
| 11 | 2009 | 76 | |
| 12 | 2019 | 76 | |
| 13 | 2018 | 73 | |
| 14 | 2011 | 73 | |
| 15 | 2011 | 67 | |
| 16 | 2021 | 63 | |
| 17 | 2017 | 61 | |
| 18 | 2023 | 60 | |
| 19 | 2010 | 60 | |
| 20 | 2022 | 54 |
About Lei Lv
Lei Lv is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), RNA modifications and cancer (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Cancer-related molecular mechanisms research (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Rabies epidemiology and control (8 papers), Autophagy in Disease and Therapy (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Cancer Research (896 citations), Geriatrics and Gerontology (162 citations), Molecular Biology (2.3k citations), Developmental Neuroscience (112 citations) and Biological Psychiatry (61 citations). Lei Lv has collaborated with scholars based in China, United States and India. Frequent co-authors include Yue Xiong, Yanping Xu, Qun‐Ying Lei, Kun‐Liang Guan, Di Zhao, Xin Zhou, Ruiting Lin, Qian Bu, Yinglan Zhao and Gang Wang. Their work appears in journals such as Molecular Cell, Cell Death and Disease, Journal of General Virology, Frontiers in Immunology and Cancer Letters.
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.