Lu Wang
Impact in
- Aging top 5%
- Biological Psychiatry top 5%
Papers in
-
- Muscle Physiology and Disorders 7
- Mitochondrial Function and Pathology 5
-
- Neuroscience and Neuropharmacology Research 8
- Neurobiology and Insect Physiology Research 7
- Co-authors
- Evan P. Gallagher (5 shared papers)Kristine L. Willett (4 shared papers)Theo K. Bammler (16 shared papers)Brian E. Scheffler (3 shared papers)David J. Marcinek (5 shared papers)Herbert M. Espinoza (3 shared papers)Vasanth Ravikumar (1 shared paper)Ryan R. Mahutga (1 shared paper)
- Journals
- Aquatic Toxicology (5 papers)Molecular Neurobiology (4 papers)GeroScience (3 papers)PLoS ONE (3 papers)Aging (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lu Wang
151 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 148
- Aging 75
- Biological Psychiatry 59
- Physiology 100
- Neurology 162
- Health, Toxicology and Mutagenesis 277
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-authors
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
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 243 | |
| 2 | 2020 | 121 | |
| 3 | 2012 | 116 | |
| 4 | 2018 | 103 | |
| 5 | 2012 | 99 | |
| 6 | 2002 | 94 | |
| 7 | 2018 | 90 | |
| 8 | 2016 | 74 | |
| 9 | 2018 | 72 | |
| 10 | 2019 | 65 | |
| 11 | 2006 | 65 | |
| 12 | 2018 | 63 | |
| 13 | 2011 | 61 | |
| 14 | 2006 | 55 | |
| 15 | 2020 | 48 | |
| 16 | 2020 | 47 | |
| 17 | 2008 | 45 | |
| 18 | 2013 | 42 | |
| 19 | 2020 | 42 | |
| 20 | 2016 | 38 |
About Lu Wang
Lu Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Biomedical Engineering, having authored 162 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Muscle Physiology and Disorders (7 papers), Neurobiology and Insect Physiology Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Adipose Tissue and Metabolism (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Aging (75 citations), Biological Psychiatry (59 citations), Physiology (100 citations), Neurology (162 citations) and Health, Toxicology and Mutagenesis (277 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, Ryan R. Mahutga, Wei‐Han Lin and Jianyi Zhang. Their work appears in journals such as Aquatic Toxicology, Molecular Neurobiology, GeroScience, PLoS ONE 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.