Changyi Ji
Impact in
- Biological Psychiatry top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Retinal Development and Disorders 5
- Connexins and lens biology 3
-
- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Co-authors
- Einar M. Sigurdsson (6 shared papers)Daniel J. Kosman (2 shared papers)Erin E. Congdon (3 shared papers)Yixiang Jiang (1 shared paper)Amber M. Tetlow (3 shared papers)Gail V.W. Johnson (7 shared papers)Maoping Tang (5 shared papers)Yu Zhang (5 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)Biological Psychiatry (1 paper)Scientific Reports (1 paper)Cellular and Molecular Neurobiology (1 paper)Autophagy (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Changyi Ji
22 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 34
- Neurology 88
- Physiology 254
- Cellular and Molecular Neuroscience 117
- Molecular Medicine 25
Countries citing papers authored by Changyi Ji
This map shows the geographic impact of Changyi Ji'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 Changyi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyi Ji more than expected).
Fields of papers citing papers by Changyi Ji
This network shows the impact of papers produced by Changyi Ji. 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 Changyi Ji. The network helps show where Changyi Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Changyi Ji, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tau-targeting therapies for Alzheimer disease: current status and future directions Hit paper breakdown → | 2023 | 168 |
| 2 | 2015 | 86 | |
| 3 | 2021 | 76 | |
| 4 | 2019 | 65 | |
| 5 | 2017 | 47 | |
| 6 | 2012 | 34 | |
| 7 | 2019 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 23 | |
| 11 | 2017 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 2 |
About Changyi Ji
Changyi Ji is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Epidemiology and Pharmacology, having authored 23 papers that have together received 689 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Retinal Development and Disorders (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Connexins and lens biology (3 papers), Blood properties and coagulation (3 papers), Retinal Diseases and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Neurology (88 citations), Physiology (254 citations), Cellular and Molecular Neuroscience (117 citations) and Molecular Medicine (25 citations). Changyi Ji has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Einar M. Sigurdsson, Daniel J. Kosman, Erin E. Congdon, Yixiang Jiang, Amber M. Tetlow, Gail V.W. Johnson, Maoping Tang, Yu Zhang, Tingting Yang and Claudia Zeidler. Their work appears in journals such as Alzheimer s & Dementia, Biological Psychiatry, Scientific Reports, Cellular and Molecular Neurobiology and Autophagy.
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.