Guo‐li Ming
- Developmental Neuroscience top 0.01%
- Neurogenesis and neuroplasticity mechanisms 93
- Cellular and Molecular Neuroscience top 0.02%
- Axon Guidance and Neuronal Signaling 52
- Nerve injury and regeneration 24
- Neuroscience and Neuropharmacology Research 21
- Neurology top 0.1%
- Molecular Biology top 0.1%
- Pluripotent Stem Cells Research 40
- Epigenetics and DNA Methylation 34
- RNA modifications and cancer 24
- Biological Psychiatry top 0.5%
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- Genetics and Neurodevelopmental Disorders 35
- Co-authors
- Hongjun SongHong-jun SongMu-ming PooJunjie U. GuoShaoyu GeKimberly M. ChristianChun ZhongYijing Su
- Partner nations
- United StatesChinaGermany
In The Last Decade
Guo‐li Ming
272 papers receiving 31.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Developmental Neuroscience 12.3k
- Cellular and Molecular Neuroscience 12.2k
- Neurology 3.4k
- Molecular Biology 15.9k
- Biological Psychiatry 538
Countries citing papers authored by Guo‐li Ming
This map shows the geographic impact of Guo‐li Ming'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 Guo‐li Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐li Ming more than expected).
Fields of papers citing papers by Guo‐li Ming
This network shows the impact of papers produced by Guo‐li Ming. 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 Guo‐li Ming. The network helps show where Guo‐li Ming may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guo‐li Ming, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 14 | |
| 11 | A nomenclature consensus for nervous system organoids and assembloidsbreakdown → | 2022 | 171 |
| 12 | 2019 | 28 | |
| 13 | 2019 | 51 | |
| 14 | 2017 | 175 | |
| 15 | 2012 | 184 | |
| 16 | 2011 | 18 | |
| 17 | Neuronal Activity–Induced Gadd45b Promotes Epigenetic DNA Demethylation and Adult Neurogenesisbreakdown → | 2009 | 720 |
| 18 | 2008 | 63 | |
| 19 | 2005 | 145 | |
| 20 | 2003 | 36 |
About Guo‐li Ming
Guo‐li Ming is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Aging, Neurology and Molecular Biology, having authored 280 papers that have together received 31.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (93 papers), Axon Guidance and Neuronal Signaling (52 papers), Pluripotent Stem Cells Research (40 papers), Genetics and Neurodevelopmental Disorders (35 papers), Epigenetics and DNA Methylation (34 papers), Nerve injury and regeneration (24 papers), RNA modifications and cancer (24 papers) and Neuroscience and Neuropharmacology Research (21 papers). The work is most often cited by research in Developmental Neuroscience (12.3k citations), Cellular and Molecular Neuroscience (12.2k citations), Neurology (3.4k citations), Molecular Biology (15.9k citations) and Biological Psychiatry (538 citations). Guo‐li Ming has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hongjun Song, Hong-jun Song, Mu-ming Poo, Junjie U. Guo, Shaoyu Ge, Kimberly M. Christian, Chun Zhong, Yijing Su, K. Dengke and Fred H. Gage. Their work appears in journals such as Neuron, Cell stem cell, Journal of Neuroscience, Nature Neuroscience and Cell.
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.