Yunxia Lv
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Otorhinolaryngology top 10%
Papers in
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- RNA modifications and cancer 9
- RNA Research and Splicing 2
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- Cancer-related molecular mechanisms research 6
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Qunguang Jiang (8 shared papers)Wanzhi Chen (6 shared papers)Guancheng Liu (5 shared papers)Weidong Dai (1 shared paper)Rong Xie (2 shared papers)Zhexuan Li (4 shared papers)Gangcai Zhu (4 shared papers)Xiongying Miao (1 shared paper)
- Journals
- Aging (2 papers)International Journal of Biological Macromolecules (2 papers)Molecular and Cellular Biochemistry (2 papers)Frontiers in Endocrinology (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yunxia Lv
31 papers receiving 465 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 159
- Otorhinolaryngology 28
- Molecular Biology 263
- Oncology 80
- Endocrinology, Diabetes and Metabolism 41
Countries citing papers authored by Yunxia Lv
This map shows the geographic impact of Yunxia 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 Yunxia Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunxia Lv more than expected).
Fields of papers citing papers by Yunxia Lv
This network shows the impact of papers produced by Yunxia 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 Yunxia Lv. The network helps show where Yunxia Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunxia 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2012 | 44 | |
| 3 | 2018 | 38 | |
| 4 | 2011 | 36 | |
| 5 | 2018 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2015 | 20 | |
| 10 | 2016 | 16 | |
| 11 | 2012 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2011 | 11 | |
| 19 | 2020 | 8 | |
| 20 | 2020 | 8 |
About Yunxia Lv
Yunxia Lv is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Oncology, having authored 31 papers that have together received 469 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (6 papers), Cervical Cancer and HPV Research (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (159 citations), Otorhinolaryngology (28 citations), Molecular Biology (263 citations), Oncology (80 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Yunxia Lv has collaborated with scholars based in China and United States. Frequent co-authors include Qunguang Jiang, Wanzhi Chen, Guancheng Liu, Weidong Dai, Rong Xie, Zhexuan Li, Gangcai Zhu, Xiongying Miao, Taiyuan Li and Chang‐Han Chen. Their work appears in journals such as Aging, International Journal of Biological Macromolecules, Molecular and Cellular Biochemistry, Frontiers in Endocrinology and Frontiers in Genetics.
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.