Jun Yin
- Biological Psychiatry top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Molecular Biology top 5%
- RNA Research and Splicing 9
- RNA modifications and cancer 7
- Ion channel regulation and function 7
- Developmental Neuroscience top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 7
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- Viral Infections and Immunology Research 8
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- Neuroscience and Neuropharmacology Research 8
- Journals
- Journal of Neuroinflammation (4 papers)AIDS Research and Human Retroviruses (4 papers)Virus Genes (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Yin
111 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 142
- Biological Psychiatry 164
- Neurology 391
- Molecular Biology 1.3k
- Developmental Neuroscience 74
- Cancer Research 269
Countries citing papers authored by Jun Yin
This map shows the geographic impact of Jun Yin'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 Jun Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yin more than expected).
Fields of papers citing papers by Jun Yin
This network shows the impact of papers produced by Jun Yin. 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 Jun Yin. The network helps show where Jun Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yin, 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 | 2025 | 12 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 48 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 18 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 5 | |
| 14 | 2018 | 24 | |
| 15 | Estimation of grassland biomass using MODIS data and plant community characteristics. | 2017 | 3 |
| 16 | 2016 | 12 | |
| 17 | 2014 | 5 | |
| 18 | Investigation of the chemical constituents and pharmacological functions of Ixeris sonchifolia (Bge.) Hance | 2011 | 1 |
| 19 | THE ANALYSIS OF THE RELATIONSHIP BETWEEN THE AIR QUALITY IN SHANGHAI AND SURFACE PRESSURE PATTERNS AND METEOROLOGICAL FACTORS | 2010 | 9 |
| 20 | The Fuzzy Decision-making Analysis Theory and Application on Ascertaining Standard of City Flood Control | 2001 | 2 |
About Jun Yin
Jun Yin is a scholar working on Neurology, Virology and Cancer Research, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), RNA Research and Splicing (9 papers), Viral Infections and Immunology Research (8 papers), Neuroscience and Neuropharmacology Research (8 papers), RNA modifications and cancer (7 papers), Ion channel regulation and function (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Biological Psychiatry (164 citations), Neurology (391 citations) and Molecular Biology (1.3k citations). Jun Yin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Song Han, Xiaohua He, Biwen Peng, Wanhong Liu, Shile Huang, Yan Luo, Long Chen, Lei Liu, Fanpeng Zhao and Xiongwei Zhu. Their work appears in journals such as Journal of Neuroinflammation, AIDS Research and Human Retroviruses, Virus Genes, Bio-Medical Materials and Engineering and Building Simulation.
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.