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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- Spinal Cord Injury Research 5
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- Nerve injury and regeneration 5
- Co-authors
- Dingyang Liu (6 shared papers)Xing Li (6 shared papers)Jianwu Dai (3 shared papers)Wen Ouyang (2 shared papers)Xianglin Hou (2 shared papers)Yannan Zhao (2 shared papers)Chengxuan Quan (2 shared papers)Xi He (1 shared paper)
- Journals
- Biomaterials Science (2 papers)Advanced Healthcare Materials (2 papers)Experimental Neurology (1 paper)Frontiers in Aging Neuroscience (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ge Long
13 papers receiving 288 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 49
- Cellular and Molecular Neuroscience 119
- Critical Care and Intensive Care Medicine 32
- Rehabilitation 42
- 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 | 110 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 30 | |
| 4 | 2019 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2020 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 0 |
About Ge Long
Ge Long is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Developmental Neuroscience, Critical Care and Intensive Care Medicine and Molecular Biology, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Spinal Cord Injury Research (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Tryptophan and brain disorders (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Anesthesia and Sedative Agents (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (49 citations), Cellular and Molecular Neuroscience (119 citations), Critical Care and Intensive Care Medicine (32 citations), Rehabilitation (42 citations) and Biological Psychiatry (9 citations). Ge Long has collaborated with scholars based in China and United States. Frequent co-authors include Dingyang Liu, Xing Li, Jianwu Dai, Wen Ouyang, Xianglin Hou, Yannan Zhao, Chengxuan Quan, Xi He, Yannan Zhao and Bing Chen. Their work appears in journals such as Biomaterials Science, Advanced Healthcare Materials, Experimental Neurology, Frontiers in Aging Neuroscience and Medicine.
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.