Junyuan Lv
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Breast Cancer Treatment Studies 5
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 2
- Co-authors
- Shijie Xin (8 shared papers)Lun Wang (3 shared papers)Dong Yang (4 shared papers)Yeli Li (4 shared papers)Lin Zhao (2 shared papers)Danli Yang (3 shared papers)Yuting Wu (2 shared papers)Taolang Li (8 shared papers)
- Journals
- OncoTargets and Therapy (2 papers)Tumor Biology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Frontiers in Pharmacology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- China
In The Last Decade
Junyuan Lv
22 papers receiving 296 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 131
- Endocrinology, Diabetes and Metabolism 37
- Molecular Biology 143
- Nephrology 14
- Pulmonary and Respiratory Medicine 57
Countries citing papers authored by Junyuan Lv
This map shows the geographic impact of Junyuan 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 Junyuan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyuan Lv more than expected).
Fields of papers citing papers by Junyuan Lv
This network shows the impact of papers produced by Junyuan 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 Junyuan Lv. The network helps show where Junyuan Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyuan 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2017 | 42 | |
| 3 | 2017 | 39 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2024 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Junyuan Lv
Junyuan Lv is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 303 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Breast Lesions and Carcinomas (3 papers), MicroRNA in disease regulation (2 papers), Cancer Treatment and Pharmacology (2 papers), Thyroid and Parathyroid Surgery (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (131 citations), Endocrinology, Diabetes and Metabolism (37 citations), Molecular Biology (143 citations), Nephrology (14 citations) and Pulmonary and Respiratory Medicine (57 citations). Junyuan Lv has collaborated with scholars based in China. Frequent co-authors include Shijie Xin, Lun Wang, Dong Yang, Yeli Li, Lin Zhao, Danli Yang, Yuting Wu, Taolang Li, Yun Yue and Xiaoming Cheng. Their work appears in journals such as OncoTargets and Therapy, Tumor Biology, Biomedicine & Pharmacotherapy, Frontiers in Pharmacology and Biochemical and Biophysical Research Communications.
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.