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
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- Wnt/β-catenin signaling in development and cancer 2
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Renal and related cancers 1
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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)Kaiyu Wang (1 shared paper)
- Journals
- Journal of Medical Systems (2 papers)Nature Cell Biology (1 paper)Scientific Reports (1 paper)Journal of Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ming Jin
12 papers receiving 722 citations
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 225
- Cellular and Molecular Neuroscience 463
- Cell Biology 216
- Molecular Biology 340
- Aging 6
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 | 255 | |
| 2 | 2007 | 194 | |
| 3 | 2007 | 115 | |
| 4 | 2005 | 101 | |
| 5 | 2019 | 25 | |
| 6 | 2022 | 7 | |
| 7 | 1987 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2025 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 1987 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 0 |
About Ming Jin
Ming Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cell Biology and Developmental Neuroscience, having authored 13 papers that have together received 725 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), MicroRNA in disease regulation (1 paper), Risk and Safety Analysis (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Developmental Neuroscience (225 citations), Cellular and Molecular Neuroscience (463 citations), Cell Biology (216 citations), Molecular Biology (340 citations) and Aging (6 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, Kaiyu Wang, Wang Zheng and Yu‐Qiang Ding. Their work appears in journals such as Journal of Medical Systems, Nature Cell Biology, Scientific Reports, Journal of Neuroscience and Journal of Biological Chemistry.
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.