Luyang Yu
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Angiogenesis and VEGF in Cancer
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Ubiquitin and proteasome pathways 6
- Protein Tyrosine Phosphatases 3
- Genetics 9
- Mesenchymal stem cell research 6
- Co-authors
- Min Wang (15 shared papers)Haifeng Zhang (10 shared papers)Hong Chen (9 shared papers)Cong Qiu (20 shared papers)Lingfeng Qin (11 shared papers)Daxing Xie (2 shared papers)Rey-Chen Pong (2 shared papers)Jer‐Tsong Hsieh (2 shared papers)
- Journals
- Circulation Research (5 papers)Acta Pharmacologica Sinica (4 papers)Nature Communications (4 papers)Proceedings of the National Academy of Sciences (3 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Luyang Yu
75 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 106
- Genetics 142
- Molecular Biology 808
- Cell Biology 135
- Oncology 195
- Cancer Research 113
Countries citing papers authored by Luyang Yu
This map shows the geographic impact of Luyang Yu'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 Luyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyang Yu more than expected).
Fields of papers citing papers by Luyang Yu
This network shows the impact of papers produced by Luyang Yu. 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 Luyang Yu. The network helps show where Luyang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyang Yu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 201 | |
| 2 | 2009 | 165 | |
| 3 | 2010 | 151 | |
| 4 | 2008 | 102 | |
| 5 | 2023 | 84 | |
| 6 | 2008 | 75 | |
| 7 | 2022 | 74 | |
| 8 | 2010 | 73 | |
| 9 | 2008 | 68 | |
| 10 | 2018 | 63 | |
| 11 | 2017 | 58 | |
| 12 | 2009 | 57 | |
| 13 | 2020 | 56 | |
| 14 | 2022 | 56 | |
| 15 | 2011 | 47 | |
| 16 | 2017 | 43 | |
| 17 | 2019 | 42 | |
| 18 | 2012 | 41 | |
| 19 | 2023 | 36 | |
| 20 | 2011 | 35 |
About Luyang Yu
Luyang Yu is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Surgery and Immunology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Ubiquitin and proteasome pathways (6 papers), Mesenchymal stem cell research (6 papers), Blood Pressure and Hypertension Studies (5 papers), Transplantation: Methods and Outcomes (4 papers), Xenotransplantation and immune response (4 papers), Particle accelerators and beam dynamics (3 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Genetics (142 citations), Molecular Biology (808 citations), Cell Biology (135 citations), Oncology (195 citations) and Cancer Research (113 citations). Luyang Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Wang, Haifeng Zhang, Hong Chen, Cong Qiu, Lingfeng Qin, Daxing Xie, Rey-Chen Pong, Jer‐Tsong Hsieh, Crystal Gore and Lihe Guo. Their work appears in journals such as Circulation Research, Acta Pharmacologica Sinica, Nature Communications, Proceedings of the National Academy of Sciences and International Journal of Molecular Sciences.
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.