Ge Long
Impact in
- Developmental Neuroscience top 10%
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
Papers in
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- Neurogenesis and neuroplasticity mechanisms 4
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- Spinal Cord Injury Research 6
- Co-authors
- Dingyang Liu (6 shared papers)Xing Li (6 shared papers)Wen Ouyang (2 shared papers)Jianwu Dai (3 shared papers)Xianglin Hou (2 shared papers)Bing Chen (1 shared paper)Yannan Zhao (2 shared papers)Chengxuan Quan (2 shared papers)
- Journals
- Biomaterials Science (2 papers)Advanced Healthcare Materials (2 papers)Bioactive Materials (1 paper)Theranostics (1 paper)Brain and Behavior (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ge Long
15 papers receiving 349 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 39
- Cellular and Molecular Neuroscience 129
- Rehabilitation 43
- Critical Care and Intensive Care Medicine 29
- Biological Psychiatry 9
Countries citing papers authored by Ge Long
This map shows the geographic impact of Ge Long'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 Ge Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Long more than expected).
Fields of papers citing papers by Ge Long
This network shows the impact of papers produced by Ge Long. 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 Ge Long. The network helps show where Ge Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Long, 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 | 1965 | 122 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 29 | |
| 5 | 2022 | 24 | |
| 6 | 2021 | 19 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2025 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Ge Long
Ge Long is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Critical Care and Intensive Care Medicine and Biological Psychiatry, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (6 papers), Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Tryptophan and brain disorders (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (39 citations), Cellular and Molecular Neuroscience (129 citations), Rehabilitation (43 citations), Critical Care and Intensive Care Medicine (29 citations) and Biological Psychiatry (9 citations). Ge Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dingyang Liu, Xing Li, Wen Ouyang, Jianwu Dai, Xianglin Hou, Bing Chen, Yannan Zhao, Chengxuan Quan, Xi Jun He and Jia Chen. Their work appears in journals such as Biomaterials Science, Advanced Healthcare Materials, Bioactive Materials, Theranostics and Brain and Behavior.
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.