Ming Jin
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
Papers in
-
- Pluripotent Stem Cells Research 2
- Wnt/β-catenin signaling in development and cancer 2
- CRISPR and Genetic Engineering 2
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- Axon Guidance and Neuronal Signaling 4
- Co-authors
- Xiao‐bing Yuan (4 shared papers)Mu‐ming Poo (3 shared papers)Chien-ping Wu (2 shared papers)Yuanquan Song (2 shared papers)Shumin Duan (1 shared paper)Gang Chen (2 shared papers)Jian Sima (1 shared paper)Wang Zheng (1 shared paper)
- Journals
- Journal of Medical Systems (2 papers)Stem Cell Research (1 paper)Nature Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ming Jin
12 papers receiving 731 citations
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 219
- Cellular and Molecular Neuroscience 455
- Cell Biology 212
- Molecular Biology 325
- Sensory Systems 16
Countries citing papers authored by Ming Jin
This map shows the geographic impact of Ming 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 Ming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jin more than expected).
Fields of papers citing papers by Ming Jin
This network shows the impact of papers produced by Ming 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 Ming Jin. The network helps show where Ming Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 | 2002 | 256 | |
| 2 | 2007 | 195 | |
| 3 | 2007 | 116 | |
| 4 | 2005 | 101 | |
| 5 | 2019 | 25 | |
| 6 | 2025 | 7 | |
| 7 | 1987 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 1987 | 4 | |
| 13 | 2022 | 0 |
About Ming Jin
Ming Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Surgery, having authored 13 papers that have together received 733 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Cellular Mechanics and Interactions (1 paper), Risk and Safety Analysis (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Developmental Neuroscience (219 citations), Cellular and Molecular Neuroscience (455 citations), Cell Biology (212 citations), Molecular Biology (325 citations) and Sensory Systems (16 citations). Ming Jin has collaborated with scholars based in China and United States. Frequent co-authors include Xiao‐bing Yuan, Mu‐ming Poo, Chien-ping Wu, Yuanquan Song, Shumin Duan, Gang Chen, Jian Sima, Wang Zheng, Kaiyu Wang and Yu‐Qiang Ding. Their work appears in journals such as Journal of Medical Systems, Stem Cell Research, Nature Neuroscience, Journal of Biological Chemistry and Journal of Neuroscience.
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.