Lu Wang
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 6
- Biological Psychiatry top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism 5
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 21
- Parkinson's Disease Mechanisms and Treatments 10
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- Neuroscience and Neuropharmacology Research 10
- Neurobiology and Insect Physiology Research 7
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- Muscle Physiology and Disorders 8
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- Stress Responses and Cortisol 5
- Co-authors
- Evan P. GallagherKristine L. WillettTheo K. BammlerBrian E. SchefflerDavid J. MarcinekHerbert M. EspinozaVasanth RavikumarDeWayne Townsend
- Cited by
- AgingBiological PsychiatryPhysiology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lu Wang
146 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 153
- Aging 74
- Biological Psychiatry 65
- Physiology 95
- Neurology 169
- Health, Toxicology and Mutagenesis 272
Countries citing papers authored by Lu Wang
This map shows the geographic impact of Lu Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Wang more than expected).
Fields of papers citing papers by Lu Wang
This network shows the impact of papers produced by Lu Wang. 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 Wang. The network helps show where Lu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Wang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 0 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 17 | |
| 19 | Nursing Methods for Improving Medication Compliance of Diabetic Patients with Tumor | 2019 | 0 |
| 20 | 2016 | 2 |
About Lu Wang
Lu Wang is a scholar working on Aging, Neurology and Cellular and Molecular Neuroscience, having authored 155 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Muscle Physiology and Disorders (8 papers), Neurobiology and Insect Physiology Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Stress Responses and Cortisol (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Aging (74 citations), Biological Psychiatry (65 citations) and Physiology (95 citations). Lu Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Evan P. Gallagher, Kristine L. Willett, Theo K. Bammler, Brian E. Scheffler, David J. Marcinek, Herbert M. Espinoza, Vasanth Ravikumar, DeWayne Townsend, Kaiyan Qiu and Elena G. Tolkacheva. Their work appears in journals such as Aquatic Toxicology, Molecular Neurobiology, BMC Genomics, GeroScience and Aging.
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.