John Zhou
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
Papers in
- Physiology 10
- Alzheimer's disease research and treatments 9
- Co-authors
- Riqiang Yan (10 shared papers)Xiangyou Hu (8 shared papers)Brati Das (4 shared papers)Robert J. Vassar (1 shared paper)Qingyuan Fan (1 shared paper)Marc Benoit (4 shared papers)Wanxia He (6 shared papers)Annie Y. Yao (4 shared papers)
- Journals
- Bioconjugate Chemistry (2 papers)Science Advances (2 papers)Human Molecular Genetics (2 papers)Molecular Neurodegeneration (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John Zhou
21 papers receiving 1.4k citations
John Zhou's Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 574
- Genetics 110
- Neurology 88
- Pharmaceutical Science 50
- Immunology 92
Countries citing papers authored by John Zhou
This map shows the geographic impact of John Zhou'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 John Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Zhou more than expected).
Fields of papers citing papers by John Zhou
This network shows the impact of papers produced by John Zhou. 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 John Zhou. The network helps show where John Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside John Zhou, 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 | The β-Secretase BACE1 in Alzheimer’s Disease Hit paper breakdown → | 2020 | 554 |
| 2 | 2019 | 234 | |
| 3 | 2006 | 191 | |
| 4 | 2016 | 63 | |
| 5 | 2022 | 63 | |
| 6 | 2022 | 52 | |
| 7 | 2007 | 37 | |
| 8 | 2019 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2023 | 30 | |
| 11 | 2024 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2022 | 19 | |
| 14 | 2012 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 4 |
About John Zhou
John Zhou is a scholar working on Physiology, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Biophysics and Pharmaceutical Science, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Toxin Mechanisms and Immunotoxins (1 paper), Dementia and Cognitive Impairment Research (1 paper), Human Pose and Action Recognition (1 paper), Glioma Diagnosis and Treatment (1 paper), Cell Image Analysis Techniques (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Physiology (574 citations), Genetics (110 citations), Neurology (88 citations), Pharmaceutical Science (50 citations) and Immunology (92 citations). John Zhou has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Riqiang Yan, Xiangyou Hu, Brati Das, Robert J. Vassar, Qingyuan Fan, Marc Benoit, Wanxia He, Annie Y. Yao, José Dávila-Velderrain and Li‐Huei Tsai. Their work appears in journals such as Bioconjugate Chemistry, Science Advances, Human Molecular Genetics, Molecular Neurodegeneration and Science Translational Medicine.
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.