Yanling Lv
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Geriatrics and Gerontology top 5%
Papers in
-
- Lung Cancer Treatments and Mutations 5
- Co-authors
- Tangfeng Lv (13 shared papers)Dongmei Yuan (11 shared papers)Yong Song (14 shared papers)Xiaohui Miao (6 shared papers)Liangkai Chen (17 shared papers)Ping Zhan (1 shared paper)Xiaokun Shen (1 shared paper)Yuqing Wei (3 shared papers)
- Journals
- Energy (3 papers)BMC Medicine (2 papers)Medical Oncology (2 papers)Protein & Cell (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yanling Lv
59 papers receiving 1.3k citations
Yanling Lv's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 272
- Geriatrics and Gerontology 47
- Molecular Biology 531
- Oncology 149
- Pulmonary and Respiratory Medicine 145
Countries citing papers authored by Yanling Lv
This map shows the geographic impact of Yanling 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 Yanling Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanling Lv more than expected).
Fields of papers citing papers by Yanling Lv
This network shows the impact of papers produced by Yanling 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 Yanling Lv. The network helps show where Yanling Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanling 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 231 | |
| 2 | 2019 | 148 | |
| 3 | 2011 | 102 | |
| 4 | 2019 | 68 | |
| 5 | 2011 | 64 | |
| 6 | 2023 | 60 | |
| 7 | Global epidemiology of type 2 diabetes in patients with NAFLD or MAFLD: a systematic review and meta-analysis Hit paper breakdown → | 2024 | 53 |
| 8 | 2020 | 41 | |
| 9 | 2021 | 38 | |
| 10 | 2023 | 34 | |
| 11 | 2023 | 30 | |
| 12 | 2023 | 30 | |
| 13 | 2020 | 30 | |
| 14 | 2016 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2012 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2019 | 20 | |
| 19 | 2013 | 17 | |
| 20 | 2016 | 16 |
About Yanling Lv
Yanling Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Immunology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Liver Disease Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers), Wind Turbine Control Systems (2 papers), Cancer Cells and Metastasis (2 papers), Immune cells in cancer (2 papers), Nutrition and Health in Aging (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cancer Research (272 citations), Geriatrics and Gerontology (47 citations), Molecular Biology (531 citations), Oncology (149 citations) and Pulmonary and Respiratory Medicine (145 citations). Yanling Lv has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Tangfeng Lv, Dongmei Yuan, Yong Song, Xiaohui Miao, Liangkai Chen, Ping Zhan, Xiaokun Shen, Yuqing Wei, Shuang Rong and Ping Zhan. Their work appears in journals such as Energy, BMC Medicine, Medical Oncology, Protein & Cell and Free Radical Biology and Medicine.
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.