Peng Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Traditional Chinese Medicine Studies 8
- Medicinal Plants and Neuroprotection 3
- Co-authors
- Lichao YangYiping YangXin JinYun ZhaoHongjun YangDi ChenHan GuoYan Lu
- Journals
- Evidence-based Complementary and Alternative Medicine (7 papers)European Journal of Pharmacology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Cardiovascular Pharmacology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Peng Lu
59 papers receiving 969 citations
Peers
Comparison fields: 5 of 123
- Complementary and alternative medicine 120
- Neurology 73
- Pharmacology 73
- Molecular Biology 506
- Computational Theory and Mathematics 116
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 13 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 5 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 34 | |
| 13 | 2016 | 12 | |
| 14 | 2015 | 48 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 32 | |
| 17 | 2015 | 10 | |
| 18 | 2015 | 50 | |
| 19 | 2013 | 20 | |
| 20 | 2012 | 17 |
About Peng Lu
Peng Lu is a scholar working on Complementary and alternative medicine, Health Informatics, Computational Theory and Mathematics, Neurology and Molecular Biology, having authored 61 papers that have together received 983 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 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), Medicinal Plants and Neuroprotection (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Complementary and alternative medicine (120 citations), Neurology (73 citations), Pharmacology (73 citations), Molecular Biology (506 citations) and Computational Theory and Mathematics (116 citations). Peng Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lichao Yang, Yiping Yang, Xin Jin, 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, Journal of Cardiovascular Pharmacology and Oncotarget.
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.