Lu Yang
Impact in
- Virology top 2%
- HIV Research and Treatment
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Neurology 14
- Neuroinflammation and Neurodegeneration Mechanisms 13
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 8
- Co-authors
- Shilpa J. Buch (25 shared papers)Fang Niu (12 shared papers)Yu Chen Cai (10 shared papers)Ke Liao (10 shared papers)Ming‐Lei Guo (4 shared papers)Shannon E. Callen (7 shared papers)Guoku Hu (10 shared papers)Palsamy Periyasamy (2 shared papers)
- Journals
- Journal of Neuroimmune Pharmacology (5 papers)Frontiers in Immunology (3 papers)Journal of Ethnopharmacology (3 papers)Molecular Neurobiology (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lu Yang
97 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 131
- Virology 379
- Biological Psychiatry 141
- Neurology 456
- Cancer Research 620
- Developmental Neuroscience 97
Countries citing papers authored by Lu Yang
This map shows the geographic impact of Lu Yang'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 Lu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Yang more than expected).
Fields of papers citing papers by Lu Yang
This network shows the impact of papers produced by Lu Yang. 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 Lu Yang. The network helps show where Lu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Yang, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 234 | |
| 2 | 2016 | 228 | |
| 3 | 2022 | 152 | |
| 4 | 2014 | 145 | |
| 5 | 2023 | 129 | |
| 6 | 2015 | 124 | |
| 7 | 2016 | 104 | |
| 8 | 2018 | 98 | |
| 9 | High MALAT1 expression predicts a poor prognosis of cervical cancer and promotes cancer cell growth and invasion. | 2015 | 97 |
| 10 | 2016 | 88 | |
| 11 | 2003 | 80 | |
| 12 | 2018 | 68 | |
| 13 | 2017 | 68 | |
| 14 | 2022 | 65 | |
| 15 | 2017 | 63 | |
| 16 | 2004 | 60 | |
| 17 | 2020 | 59 | |
| 18 | 2016 | 56 | |
| 19 | 2020 | 54 | |
| 20 | 2014 | 53 |
About Lu Yang
Lu Yang is a scholar working on Neurology, Cancer Research, Molecular Biology, Developmental Neuroscience and Virology, having authored 102 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), RNA modifications and cancer (10 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Autophagy in Disease and Therapy (7 papers), HIV Research and Treatment (7 papers) and Extracellular vesicles in disease (6 papers). The work is most often cited by research in Virology (379 citations), Biological Psychiatry (141 citations), Neurology (456 citations), Cancer Research (620 citations) and Developmental Neuroscience (97 citations). Lu Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shilpa J. Buch, Fang Niu, Yu Chen Cai, Ke Liao, Ming‐Lei Guo, Shannon E. Callen, Guoku Hu, Palsamy Periyasamy, Honghong Yao and Jyothi Arikkath. Their work appears in journals such as Journal of Neuroimmune Pharmacology, Frontiers in Immunology, Journal of Ethnopharmacology, Molecular Neurobiology and The Journal of Cell Biology.
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.