Tiewei Lv
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Congenital heart defects research 5
- Genomics and Chromatin Dynamics 4
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- Cardiomyopathy and Myosin Studies 5
- Cardiovascular Function and Risk Factors 4
- Co-authors
- Jing Zhu (11 shared papers)Jie Tian (13 shared papers)Xupei Huang (12 shared papers)Bo Pan (8 shared papers)Huichao Sun (9 shared papers)Guozhen Chen (3 shared papers)Yuhao Wu (2 shared papers)Lingjuan Liu (5 shared papers)
- Journals
- Frontiers in Pediatrics (6 papers)Journal of Biomedical Science (5 papers)Cardiology (3 papers)Journal of Interventional Cardiac Electrophysiology (2 papers)Interactive Cardiovascular and Thoracic Surgery (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Tiewei Lv
30 papers receiving 562 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 90
- Cardiology and Cardiovascular Medicine 100
- Molecular Biology 284
- Genetics 41
- Molecular Medicine 19
Countries citing papers authored by Tiewei Lv
This map shows the geographic impact of Tiewei 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 Tiewei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiewei Lv more than expected).
Fields of papers citing papers by Tiewei Lv
This network shows the impact of papers produced by Tiewei 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 Tiewei Lv. The network helps show where Tiewei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiewei 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2017 | 63 | |
| 3 | 2017 | 59 | |
| 4 | 2018 | 50 | |
| 5 | 2010 | 44 | |
| 6 | 2017 | 42 | |
| 7 | 2010 | 41 | |
| 8 | 2019 | 27 | |
| 9 | 2009 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2014 | 20 | |
| 12 | 2021 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 6 |
About Tiewei Lv
Tiewei Lv is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 33 papers that have together received 567 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (5 papers), Genomics and Chromatin Dynamics (4 papers), Coronary Artery Anomalies (4 papers), Cardiovascular Function and Risk Factors (4 papers), MicroRNA in disease regulation (3 papers) and Prenatal Substance Exposure Effects (3 papers). The work is most often cited by research in Cancer Research (90 citations), Cardiology and Cardiovascular Medicine (100 citations), Molecular Biology (284 citations), Genetics (41 citations) and Molecular Medicine (19 citations). Tiewei Lv has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jing Zhu, Jie Tian, Xupei Huang, Bo Pan, Huichao Sun, Guozhen Chen, Yuhao Wu, Lingjuan Liu, Lingjuan Liu and Chun Wu. Their work appears in journals such as Frontiers in Pediatrics, Journal of Biomedical Science, Cardiology, Journal of Interventional Cardiac Electrophysiology and Interactive Cardiovascular and Thoracic Surgery.
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.