Long Wu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 11
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- Mitochondrial Function and Pathology 8
- ATP Synthase and ATPases Research 2
- Co-authors
- Liqin Zhao (3 shared papers)Shirley ShiDu Yan (8 shared papers)Gang Hu (4 shared papers)Fang Du (6 shared papers)Xin Zhang (2 shared papers)Shijun Yan (4 shared papers)Yongfu Wang (4 shared papers)Shengbin Huang (3 shared papers)
- Journals
- Brain (2 papers)Diabetes (2 papers)Scientific Reports (1 paper)Progress in Neurobiology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Long Wu
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 70
- Physiology 567
- Neurology 171
- Clinical Biochemistry 123
- Molecular Biology 630
Countries citing papers authored by Long Wu
This map shows the geographic impact of Long Wu'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 Long Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wu more than expected).
Fields of papers citing papers by Long Wu
This network shows the impact of papers produced by Long Wu. 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 Long Wu. The network helps show where Long Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2013 | 159 | |
| 3 | 2018 | 135 | |
| 4 | 2014 | 124 | |
| 5 | 2015 | 76 | |
| 6 | 2014 | 55 | |
| 7 | 2016 | 48 | |
| 8 | 2016 | 43 | |
| 9 | 2016 | 38 | |
| 10 | 2014 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2014 | 32 | |
| 13 | 2021 | 26 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 20 | |
| 16 | 2023 | 13 | |
| 17 | 2024 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2019 | 7 | |
| 20 | 2019 | 6 |
About Long Wu
Long Wu is a scholar working on Physiology, Molecular Biology, Rheumatology, Clinical Biochemistry and Neurology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Mitochondrial Function and Pathology (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Metabolism and Genetic Disorders (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), ATP Synthase and ATPases Research (2 papers), Advanced Glycation End Products research (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Biological Psychiatry (70 citations), Physiology (567 citations), Neurology (171 citations), Clinical Biochemistry (123 citations) and Molecular Biology (630 citations). Long Wu has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Liqin Zhao, Shirley ShiDu Yan, Gang Hu, Fang Du, Xin Zhang, Shijun Yan, Yongfu Wang, Shengbin Huang, Haiyang Yu and Xueqi Gan. Their work appears in journals such as Brain, Diabetes, Scientific Reports, Progress in Neurobiology and Cell Death and Disease.
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.