Ye Lu
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
- Eicosanoids and Hypertension Pharmacology
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- Ion Channels and Receptors
Papers in
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- Neurotransmitter Receptor Influence on Behavior 5
- Neuropeptides and Animal Physiology 2
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- Video Surveillance and Tracking Methods 2
- Co-authors
- Yu Huang (5 shared papers)Xiao Yu Tian (4 shared papers)Wai San Cheang (4 shared papers)Wing Tak Wong (4 shared papers)Xiaoqiang Yao (3 shared papers)Zhen‐Yu Chen (4 shared papers)Li Wang (1 shared paper)Aimin Xu (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Pharmacological Research (1 paper)Journal of Integrative Neuroscience (1 paper)Clinical and Experimental Ophthalmology (1 paper)European Journal of Nutrition (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ye Lu
30 papers receiving 512 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 59
- Sensory Systems 24
- Physiology 121
- Endocrine and Autonomic Systems 18
- Cellular and Molecular Neuroscience 47
Countries citing papers authored by Ye Lu
This map shows the geographic impact of Ye 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 Ye Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Lu more than expected).
Fields of papers citing papers by Ye Lu
This network shows the impact of papers produced by Ye 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 Ye Lu. The network helps show where Ye Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 127 | |
| 2 | 2012 | 62 | |
| 3 | 2011 | 51 | |
| 4 | 2023 | 36 | |
| 5 | 2024 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2016 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2025 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 5 |
About Ye Lu
Ye Lu is a scholar working on Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Epidemiology, Physiology and Endocrine and Autonomic Systems, having authored 36 papers that have together received 520 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Ophthalmology and Visual Impairment Studies (5 papers), CAR-T cell therapy research (2 papers), Retinal Development and Disorders (2 papers), Memory and Neural Mechanisms (2 papers), Video Surveillance and Tracking Methods (2 papers), Adipose Tissue and Metabolism (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Biochemistry (59 citations), Sensory Systems (24 citations), Physiology (121 citations), Endocrine and Autonomic Systems (18 citations) and Cellular and Molecular Neuroscience (47 citations). Ye Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yu Huang, Xiao Yu Tian, Wai San Cheang, Wing Tak Wong, Xiaoqiang Yao, Zhen‐Yu Chen, Li Wang, Aimin Xu, Yu Wang and Yang Zhang. Their work appears in journals such as Frontiers in Pharmacology, Pharmacological Research, Journal of Integrative Neuroscience, Clinical and Experimental Ophthalmology and European Journal of Nutrition.
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.