Bin Ji
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
- Physiology 29
- Alzheimer's disease research and treatments 29
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- S100 Proteins and Annexins 6
- Mitochondrial Function and Pathology 5
- Co-authors
- Makoto Higuchi (40 shared papers)Tetsuya Suhara (35 shared papers)Maiko Ono (23 shared papers)Jun Maeda (13 shared papers)Ming‐Rong Zhang (22 shared papers)Takashi Okauchi (7 shared papers)Matthias Staufenbiel (5 shared papers)Takaomi C. Saido (5 shared papers)
- Journals
- Alzheimer s & Dementia (5 papers)Journal of Neuroscience (4 papers)Journal of Cerebral Blood Flow & Metabolism (3 papers)Annals of Translational Medicine (2 papers)Shock (2 papers)
- Partner nations
- JapanChinaSwitzerland
In The Last Decade
Bin Ji
78 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Neurology 564
- Biological Psychiatry 156
- Physiology 968
- Cellular and Molecular Neuroscience 509
- Developmental Neuroscience 68
Countries citing papers authored by Bin Ji
This map shows the geographic impact of Bin 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 Bin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ji more than expected).
Fields of papers citing papers by Bin Ji
This network shows the impact of papers produced by Bin 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 Bin Ji. The network helps show where Bin Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 228 | |
| 2 | 2016 | 167 | |
| 3 | 2015 | 155 | |
| 4 | 2008 | 148 | |
| 5 | 2018 | 140 | |
| 6 | 2007 | 120 | |
| 7 | 2021 | 110 | |
| 8 | 2011 | 109 | |
| 9 | 2015 | 90 | |
| 10 | 2011 | 84 | |
| 11 | 2013 | 80 | |
| 12 | 2017 | 54 | |
| 13 | 2015 | 52 | |
| 14 | 2018 | 49 | |
| 15 | 2004 | 48 | |
| 16 | 2021 | 45 | |
| 17 | 2018 | 44 | |
| 18 | 2002 | 43 | |
| 19 | 2012 | 36 | |
| 20 | 2014 | 33 |
About Bin Ji
Bin Ji is a scholar working on Physiology, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Neuroscience and Neuropharmacology Research (14 papers), Medical Imaging Techniques and Applications (7 papers), Drug Transport and Resistance Mechanisms (7 papers), S100 Proteins and Annexins (6 papers), Functional Brain Connectivity Studies (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Neurology (564 citations), Biological Psychiatry (156 citations), Physiology (968 citations), Cellular and Molecular Neuroscience (509 citations) and Developmental Neuroscience (68 citations). Bin Ji has collaborated with scholars based in Japan, China and Switzerland. Frequent co-authors include Makoto Higuchi, Tetsuya Suhara, Maiko Ono, Jun Maeda, Ming‐Rong Zhang, Takashi Okauchi, Matthias Staufenbiel, Takaomi C. Saido, Kazutoshi Suzuki and Ruiqing Ni. Their work appears in journals such as Alzheimer s & Dementia, Journal of Neuroscience, Journal of Cerebral Blood Flow & Metabolism, Annals of Translational Medicine and Shock.
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.