Shijie Jin
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 30
- Amyotrophic Lateral Sclerosis Research 8
- Biological Psychiatry top 1%
- Developmental Neuroscience top 2%
- Immunology top 2%
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- Neuroscience and Neuropharmacology Research 8
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- Enzyme Structure and Function 7
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- Alzheimer's disease research and treatments 7
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- Sphingolipid Metabolism and Signaling 6
- Extracellular vesicles in disease 6
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- Akio SuzumuraTetsuya MizunoHideyuki TakeuchiYoshifumi SonobeJun KawanokuchiYukiko DoiAbraham L. SonensheinGuiqin Zhang
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Shijie Jin
72 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Neurology 1.5k
- Biological Psychiatry 297
- Developmental Neuroscience 294
- Immunology 977
- Cellular and Molecular Neuroscience 699
Countries citing papers authored by Shijie Jin
This map shows the geographic impact of Shijie Jin'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 Shijie Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijie Jin more than expected).
Fields of papers citing papers by Shijie Jin
This network shows the impact of papers produced by Shijie Jin. 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 Shijie Jin. The network helps show where Shijie Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shijie Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 19 | |
| 4 | 2018 | 48 | |
| 5 | 2018 | 105 | |
| 6 | 2018 | 20 | |
| 7 | 2016 | 80 | |
| 8 | 2016 | 201 | |
| 9 | 2016 | 46 | |
| 10 | 2014 | 83 | |
| 11 | 2014 | 240 | |
| 12 | 2014 | 45 | |
| 13 | 2013 | 90 | |
| 14 | 2011 | 123 | |
| 15 | 2011 | 121 | |
| 16 | 2010 | 47 | |
| 17 | 2008 | 22 | |
| 18 | 2008 | 89 | |
| 19 | 2005 | 66 | |
| 20 | 2004 | 82 |
About Shijie Jin
Shijie Jin is a scholar working on Neurology, Developmental Neuroscience and Immunology, having authored 73 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Amyotrophic Lateral Sclerosis Research (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Enzyme Structure and Function (7 papers), Alzheimer's disease research and treatments (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Extracellular vesicles in disease (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Neurology (1.5k citations), Biological Psychiatry (297 citations) and Developmental Neuroscience (294 citations). Shijie Jin has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akio Suzumura, Tetsuya Mizuno, Hideyuki Takeuchi, Yoshifumi Sonobe, Jun Kawanokuchi, Yukiko Doi, Abraham L. Sonenshein, Guiqin Zhang, Jinyan Wang and Reiko Kuno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.