Hongjun Song
Impact in
- Developmental Neuroscience top 0.01%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
Papers in
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- Neurogenesis and neuroplasticity mechanisms 99
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- Axon Guidance and Neuronal Signaling 39
- Neuroscience and Neuropharmacology Research 30
Hongjun Song
275 papers receiving 30.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Developmental Neuroscience 12.9k
- Cellular and Molecular Neuroscience 9.9k
- Neurology 3.9k
- Biological Psychiatry 624
- Molecular Biology 15.4k
Countries citing papers authored by Hongjun Song
This map shows the geographic impact of Hongjun Song'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 Hongjun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjun Song more than expected).
Fields of papers citing papers by Hongjun Song
This network shows the impact of papers produced by Hongjun Song. 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 Hongjun Song. The network helps show where Hongjun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongjun Song, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 14 | |
| 8 | A nomenclature consensus for nervous system organoids and assembloids Hit paper breakdown → | 2022 | 171 |
| 9 | 2019 | 28 | |
| 10 | 2015 | 61 | |
| 11 | Based on Adams/Matlab/Simulink two link manipulator dynamics simulation and verification | 2013 | 1 |
| 12 | Signal processing of Arc FMCW SAR | 2013 | 6 |
| 13 | 2012 | 184 | |
| 14 | 2011 | 18 | |
| 15 | Neuronal Activity–Induced Gadd45b Promotes Epigenetic DNA Demethylation and Adult Neurogenesis Hit paper breakdown → | 2009 | 720 |
| 16 | 2008 | 8 | |
| 17 | 2008 | 7 | |
| 18 | 2006 | 240 | |
| 19 | 2005 | 145 | |
| 20 | 2003 | 36 |
About Hongjun Song
Hongjun Song is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Aging and Molecular Biology, having authored 286 papers that have together received 30.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (99 papers), Epigenetics and DNA Methylation (41 papers), Pluripotent Stem Cells Research (40 papers), Axon Guidance and Neuronal Signaling (39 papers), Genetics and Neurodevelopmental Disorders (39 papers), Neuroscience and Neuropharmacology Research (30 papers), RNA modifications and cancer (27 papers) and Advanced SAR Imaging Techniques (20 papers). The work is most often cited by research in Developmental Neuroscience (12.9k citations), Cellular and Molecular Neuroscience (9.9k citations), Neurology (3.9k citations), Biological Psychiatry (624 citations) and Molecular Biology (15.4k citations). Hongjun Song has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Guo‐li Ming, Fred H. Gage, Junjie U. Guo, Shaoyu Ge, Kimberly M. Christian, Yijing Su, Chun Zhong, K. Dengke, Charles F. Stevens and Michael A. Bonaguidi. 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.