Dan Ge
Impact in
- Developmental Neuroscience top 5%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Bacterial biofilms and quorum sensing 6
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- 3D Printing in Biomedical Research 7
- Bone Tissue Engineering Materials 5
- Co-authors
- Xuehu Ma (15 shared papers)Shui Guan (13 shared papers)Tianqing Liu (13 shared papers)Tianqing Liu (9 shared papers)Zhanfeng Cui (11 shared papers)Xiangqin Li (13 shared papers)Kedong Song (11 shared papers)Wenfang Li (4 shared papers)
- Journals
- ACS Biomaterials Science & Engineering (2 papers)Carbohydrate Polymers (2 papers)ACS Applied Materials & Interfaces (2 papers)Cryobiology (2 papers)Applied Biochemistry and Biotechnology (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Ge
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Developmental Neuroscience 76
- Biomaterials 236
- Cellular and Molecular Neuroscience 224
- Biomedical Engineering 529
- Molecular Medicine 56
Countries citing papers authored by Dan Ge
This map shows the geographic impact of Dan Ge'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 Dan Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ge more than expected).
Fields of papers citing papers by Dan Ge
This network shows the impact of papers produced by Dan Ge. 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 Dan Ge. The network helps show where Dan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2018 | 101 | |
| 3 | 2006 | 87 | |
| 4 | 2017 | 83 | |
| 5 | 2008 | 75 | |
| 6 | 2016 | 57 | |
| 7 | 2019 | 53 | |
| 8 | 2013 | 52 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 40 | |
| 11 | 2020 | 37 | |
| 12 | 2022 | 36 | |
| 13 | 2019 | 36 | |
| 14 | 2021 | 32 | |
| 15 | 2012 | 30 | |
| 16 | 2009 | 30 | |
| 17 | 2013 | 29 | |
| 18 | 2016 | 26 | |
| 19 | 2023 | 24 | |
| 20 | 2011 | 21 |
About Dan Ge
Dan Ge is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Surgery and Developmental Neuroscience, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), 3D Printing in Biomedical Research (7 papers), Bacterial biofilms and quorum sensing (6 papers), Nerve injury and regeneration (5 papers), Neuroscience and Neural Engineering (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Bone Tissue Engineering Materials (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Biomaterials (236 citations), Cellular and Molecular Neuroscience (224 citations), Biomedical Engineering (529 citations) and Molecular Medicine (56 citations). Dan Ge has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuehu Ma, Shui Guan, Tianqing Liu, Tianqing Liu, Zhanfeng Cui, Xiangqin Li, Kedong Song, Wenfang Li, Jianqiang Xu and Changkai Sun. Their work appears in journals such as ACS Biomaterials Science & Engineering, Carbohydrate Polymers, ACS Applied Materials & Interfaces, Cryobiology and Applied Biochemistry and Biotechnology.
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.