Daniel Boon Loong Teh
- Acoustics and Ultrasonics top 5%
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- Neuroscience and Neural Engineering 5
- Photoreceptor and optogenetics research 4
- Materials Chemistry top 5%
- Luminescence and Fluorescent Materials 6
- Luminescence Properties of Advanced Materials 4
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 6
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 5
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- Pluripotent Stem Cells Research 2
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- Molecular Sensors and Ion Detection 2
Daniel Boon Loong Teh
26 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Acoustics and Ultrasonics 29
- Cellular and Molecular Neuroscience 490
- Materials Chemistry 1.2k
- Biomedical Engineering 868
- Developmental Neuroscience 80
Countries citing papers authored by Daniel Boon Loong Teh
This map shows the geographic impact of Daniel Boon Loong Teh'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 Daniel Boon Loong Teh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Boon Loong Teh more than expected).
Fields of papers citing papers by Daniel Boon Loong Teh
This network shows the impact of papers produced by Daniel Boon Loong Teh. 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 Daniel Boon Loong Teh. The network helps show where Daniel Boon Loong Teh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Boon Loong Teh, 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 | 2024 | 3 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 48 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 2 | |
| 8 | 2019 | 119 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 139 | |
| 12 | 2018 | 58 | |
| 13 | Near-infrared deep brain stimulation via upconversion nanoparticle–mediated optogeneticsbreakdown → | 2018 | 910 |
| 14 | 2017 | 17 | |
| 15 | 2017 | 55 | |
| 16 | 2017 | 345 | |
| 17 | 2017 | 196 | |
| 18 | 2017 | 40 | |
| 19 | 2017 | 22 | |
| 20 | 2016 | 17 |
About Daniel Boon Loong Teh
Daniel Boon Loong Teh is a scholar working on Developmental Neuroscience, Aging and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (6 papers), Nanoplatforms for cancer theranostics (6 papers), Neuroscience and Neural Engineering (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Photoreceptor and optogenetics research (4 papers), Luminescence Properties of Advanced Materials (4 papers), Pluripotent Stem Cells Research (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (29 citations), Cellular and Molecular Neuroscience (490 citations) and Materials Chemistry (1.2k citations). Daniel Boon Loong Teh has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Angelo H. All, Xiaogang Liu, Xiao Zeng, Adam Z. Weitemier, Thomas J. McHugh, Laxmi Kumar Parajuli, Hirohide Iwasaki, Yanqiu Tao, Masanobu Kano and Arthur Huang. Their work appears in journals such as Science, Advanced Materials and Angewandte Chemie International Edition.
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.