Yang Lv
Impact in
- Urology top 5%
- Periodontal Regeneration and Treatments
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
Papers in
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- Wound Healing and Treatments 3
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- Radiomics and Machine Learning in Medical Imaging 3
- Laser Applications in Dentistry and Medicine 2
- Co-authors
- Qinyi Liu (2 shared papers)Ruiqiang Wang (2 shared papers)Zhenwu Du (2 shared papers)Jiuping Wu (2 shared papers)Guizhen Zhang (2 shared papers)Rui Liu (2 shared papers)Lin He (3 shared papers)Juan Xie (4 shared papers)
In The Last Decade
Yang Lv
29 papers receiving 480 citations
Peers
Comparison fields: 5 of 50
- Urology 86
- Pathology and Forensic Medicine 107
- Rehabilitation 28
- Cancer Research 37
- Oncology 56
Countries citing papers authored by Yang Lv
This map shows the geographic impact of Yang 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 Yang Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Lv more than expected).
Fields of papers citing papers by Yang Lv
This network shows the impact of papers produced by Yang 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 Yang Lv. The network helps show where Yang Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | A New Technique for the Treatment of Lumbar Facet Joint Syndrome Using Intra-articular Injection with Autologous Platelet Rich Plasma. | 2017 | 44 |
| 3 | 2016 | 42 | |
| 4 | 2009 | 35 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2019 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 12 | |
| 14 | 2025 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 7 |
About Yang Lv
Yang Lv is a scholar working on Rehabilitation, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 493 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Wound Healing and Treatments (3 papers), Periodontal Regeneration and Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Laser Applications in Dentistry and Medicine (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Urology (86 citations), Pathology and Forensic Medicine (107 citations), Rehabilitation (28 citations), Cancer Research (37 citations) and Oncology (56 citations). Yang Lv has collaborated with scholars based in China and Canada. Frequent co-authors include Qinyi Liu, Ruiqiang Wang, Zhenwu Du, Jiuping Wu, Guizhen Zhang, Rui Liu, Lin He, Juan Xie, Yuhua Song and Biyuan Zhang. Their work appears in journals such as Medicine, Lasers in Medical Science, Frontiers in Immunology, Frontiers in Endocrinology and Journal of Cosmetic Dermatology.
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.