Jun Lv
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Xiaofang Cao (1 shared paper)Heng‐Xiang Wang (1 shared paper)Zi‐Kuan Guo (1 shared paper)Fengjun Xiao (1 shared paper)Xin-Bin Liu (1 shared paper)Hongchao Zhang (1 shared paper)Yang� Yang (1 shared paper)Shu-Kuei Huang (1 shared paper)
- Journals
- Medicine (2 papers)Saudi Journal of Biological Sciences (1 paper)Oncotarget (1 paper)Histochemistry and Cell Biology (1 paper)Anti-Cancer Drugs (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Lv
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 387
- Genetics 97
- Physiology 42
- Molecular Biology 612
- Neurology 44
Countries citing papers authored by Jun Lv
This map shows the geographic impact of Jun 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 Jun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lv more than expected).
Fields of papers citing papers by Jun Lv
This network shows the impact of papers produced by Jun 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 Jun Lv. The network helps show where Jun Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 228 | |
| 2 | 2012 | 223 | |
| 3 | 2009 | 91 | |
| 4 | 2017 | 66 | |
| 5 | 2023 | 57 | |
| 6 | 2017 | 52 | |
| 7 | 2005 | 42 | |
| 8 | 2021 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2021 | 20 | |
| 12 | 2006 | 20 | |
| 13 | Establishment and characterization of an ovarian cell line of the silkworm | 2009 | 17 |
| 14 | 2012 | 16 | |
| 15 | 2010 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2020 | 9 | |
| 19 | MiR-675 Promotes the Growth of Hepatocellular Carcinoma Cells Through the Cdc25A Pathway. | 2016 | 8 |
| 20 | [The diagnostic value of eight serum indices for liver fibrosis]. | 2004 | 8 |
About Jun Lv
Jun Lv is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Otorhinolaryngology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Virus-based gene therapy research (3 papers), Head and Neck Cancer Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Nerve injury and regeneration (2 papers), Oral health in cancer treatment (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Cancer Research (387 citations), Genetics (97 citations), Physiology (42 citations), Molecular Biology (612 citations) and Neurology (44 citations). Jun Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaofang Cao, Heng‐Xiang Wang, Zi‐Kuan Guo, Fengjun Xiao, Xin-Bin Liu, Hongchao Zhang, Yang� Yang, Shu-Kuei Huang, Yongqi Wang and Ye Ma. Their work appears in journals such as Medicine, Saudi Journal of Biological Sciences, Oncotarget, Histochemistry and Cell Biology and Anti-Cancer Drugs.
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.