Pengwei Lv
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Breast Cancer Treatment Studies 3
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- Circular RNAs in diseases 8
- RNA modifications and cancer 4
- Co-authors
- Xiaodong Xu (4 shared papers)Yan Yu (1 shared paper)Xinguang Qiu (4 shared papers)Yuanting Gu (3 shared papers)Xue Yang (3 shared papers)Yunqing Yang (2 shared papers)Mingzhi Zhu (5 shared papers)Yuanting Gu (4 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Journal of Biomedical Science (2 papers)Journal of Cellular Biochemistry (1 paper)Cell Death and Disease (1 paper)Japanese Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Pengwei Lv
20 papers receiving 491 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 332
- Molecular Biology 380
- Oncology 98
- Immunology 45
- Pathology and Forensic Medicine 35
Countries citing papers authored by Pengwei Lv
This map shows the geographic impact of Pengwei 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 Pengwei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengwei Lv more than expected).
Fields of papers citing papers by Pengwei Lv
This network shows the impact of papers produced by Pengwei 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 Pengwei Lv. The network helps show where Pengwei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2018 | 62 | |
| 3 | 2015 | 39 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2017 | 20 | |
| 11 | 2021 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2021 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2021 | 2 |
About Pengwei Lv
Pengwei Lv is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Radiation, having authored 20 papers that have together received 498 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (4 papers), Breast Cancer Treatment Studies (3 papers), BRCA gene mutations in cancer (2 papers), Advanced Radiotherapy Techniques (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (332 citations), Molecular Biology (380 citations), Oncology (98 citations), Immunology (45 citations) and Pathology and Forensic Medicine (35 citations). Pengwei Lv has collaborated with scholars based in China and United States. Frequent co-authors include Xiaodong Xu, Yan Yu, Xinguang Qiu, Yuanting Gu, Xue Yang, Yunqing Yang, Mingzhi Zhu, Yuanting Gu, Nan Wang and Fang Wang. Their work appears in journals such as Frontiers in Oncology, Journal of Biomedical Science, Journal of Cellular Biochemistry, Cell Death and Disease and Japanese Journal of Clinical Oncology.
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.