Ben Long
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 7
- Advanced Fluorescence Microscopy Techniques 5
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- Tactile and Sensory Interactions 2
- Co-authors
- Hui Gong (14 shared papers)Xiangning Li (11 shared papers)Anan Li (8 shared papers)Qingming Luo (7 shared papers)Jie Peng (2 shared papers)Christopher J. Woods (2 shared papers)Maturos Malaisree (2 shared papers)Adrian J. Mulholland (2 shared papers)
- Journals
- Frontiers in Neuroanatomy (4 papers)Scientific Reports (2 papers)Nature (1 paper)Clinical and Translational Medicine (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ben Long
27 papers receiving 610 citations
Peers
Comparison fields: 5 of 119
- Behavioral Neuroscience 51
- Biophysics 77
- Biological Psychiatry 22
- Neurology 62
- Cellular and Molecular Neuroscience 84
Countries citing papers authored by Ben Long
This map shows the geographic impact of Ben 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 Ben Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Long more than expected).
Fields of papers citing papers by Ben Long
This network shows the impact of papers produced by Ben 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 Ben Long. The network helps show where Ben Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 179 | |
| 2 | 2017 | 91 | |
| 3 | 2014 | 82 | |
| 4 | 2012 | 48 | |
| 5 | 2013 | 37 | |
| 6 | 2017 | 28 | |
| 7 | 2017 | 25 | |
| 8 | 2022 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 7 | |
| 16 | Digital filmmaking handbook | 2002 | 6 |
| 17 | 2023 | 4 | |
| 18 | 1998 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Ben Long
Ben Long is a scholar working on Biophysics, Cognitive Neuroscience, Molecular Biology, Physiology and Neurology, having authored 29 papers that have together received 624 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Protein Structure and Dynamics (2 papers), 3D Printing in Biomedical Research (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Behavioral Neuroscience (51 citations), Biophysics (77 citations), Biological Psychiatry (22 citations), Neurology (62 citations) and Cellular and Molecular Neuroscience (84 citations). Ben Long has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hui Gong, Xiangning Li, Anan Li, Qingming Luo, Jie Peng, Christopher J. Woods, Maturos Malaisree, Adrian J. Mulholland, Simon McIntosh‐Smith and Tao Jiang. Their work appears in journals such as Frontiers in Neuroanatomy, Scientific Reports, Nature, Clinical and Translational Medicine and International Journal of Molecular Sciences.
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.