Peng Lu
Impact in
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- Medicinal Plants and Neuroprotection
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Peroxisome Proliferator-Activated Receptors 11
- Bioinformatics and Genomic Networks 9
- Metabolomics and Mass Spectrometry Studies 5
- Biomedical Text Mining and Ontologies 4
- Ubiquitin and proteasome pathways 3
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- Computational Drug Discovery Methods 10
- Co-authors
- Lichao Yang (17 shared papers)Xin Jin (6 shared papers)Yiping Yang (6 shared papers)Yun Zhao (10 shared papers)Hongjun Yang (7 shared papers)Di Chen (4 shared papers)Han Guo (5 shared papers)Xin Jin (9 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (7 papers)European Journal of Pharmacology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular BioSystems (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peng Lu
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 127
- Complementary and alternative medicine 113
- Neurology 61
- Pharmacology 59
- Computational Theory and Mathematics 110
- Molecular Biology 451
Countries citing papers authored by Peng Lu
This map shows the geographic impact of Peng Lu'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 Peng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Lu more than expected).
Fields of papers citing papers by Peng Lu
This network shows the impact of papers produced by Peng Lu. 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 Peng Lu. The network helps show where Peng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Lu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2016 | 91 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 52 | |
| 5 | 2015 | 48 | |
| 6 | 2016 | 39 | |
| 7 | 2016 | 35 | |
| 8 | 2015 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2017 | 32 | |
| 11 | 2017 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2019 | 21 | |
| 15 | 2025 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2012 | 18 | |
| 20 | 2013 | 17 |
About Peng Lu
Peng Lu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Complementary and alternative medicine, Pharmacology and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers), Traditional Chinese Medicine Studies (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Biomedical Text Mining and Ontologies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Complementary and alternative medicine (113 citations), Neurology (61 citations), Pharmacology (59 citations), Computational Theory and Mathematics (110 citations) and Molecular Biology (451 citations). Peng Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lichao Yang, Xin Jin, Yiping Yang, Yun Zhao, Hongjun Yang, Di Chen, Han Guo, Xin Jin, Yan Lu and Tong Ren. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, European Journal of Pharmacology, Biochemical and Biophysical Research Communications, Molecular BioSystems and PLoS ONE.
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.