David C. Ng
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Neuroscience and Neural Engineering 23
- Photoreceptor and optogenetics research 6
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- CCD and CMOS Imaging Sensors 10
- Wireless Power Transfer Systems 9
- Advanced Memory and Neural Computing 9
- Energy Harvesting in Wireless Networks 7
- Advancements in Semiconductor Devices and Circuit Design 4
- Co-authors
- Alfred Lewis Goldberg (2 shared papers)George I. Drummond (2 shared papers)Prakash V. Sulakhe (2 shared papers)David M. Smith (1 shared paper)Yifan Cheng (1 shared paper)Galit Kafri (1 shared paper)Thomas M. Walz (1 shared paper)Efstratios Stan Skafidas (11 shared papers)
In The Last Decade
David C. Ng
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 317
- Cell Biology 168
- Biophysics 42
- Genetics 181
- Molecular Biology 446
Countries citing papers authored by David C. Ng
This map shows the geographic impact of David C. Ng'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 David C. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Ng more than expected).
Fields of papers citing papers by David C. Ng
This network shows the impact of papers produced by David C. Ng. 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 David C. Ng. The network helps show where David C. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Ng, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 214 | |
| 2 | 2018 | 138 | |
| 3 | 1999 | 134 | |
| 4 | 1973 | 79 | |
| 5 | 2014 | 72 | |
| 6 | 2006 | 49 | |
| 7 | 1973 | 49 | |
| 8 | 2011 | 44 | |
| 9 | 2009 | 44 | |
| 10 | 2008 | 41 | |
| 11 | 2006 | 31 | |
| 12 | 2012 | 26 | |
| 13 | 2007 | 24 | |
| 14 | 2008 | 22 | |
| 15 | 2010 | 21 | |
| 16 | 2015 | 18 | |
| 17 | 2013 | 16 | |
| 18 | 2003 | 14 | |
| 19 | 2005 | 13 | |
| 20 | 2008 | 10 |
About David C. Ng
David C. Ng is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Biophysics and Bioengineering, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (23 papers), CCD and CMOS Imaging Sensors (10 papers), Wireless Power Transfer Systems (9 papers), Advanced Memory and Neural Computing (9 papers), Energy Harvesting in Wireless Networks (7 papers), Analog and Mixed-Signal Circuit Design (7 papers), Photoreceptor and optogenetics research (6 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (317 citations), Cell Biology (168 citations), Biophysics (42 citations), Genetics (181 citations) and Molecular Biology (446 citations). David C. Ng has collaborated with scholars based in Australia, Japan and China. Frequent co-authors include Alfred Lewis Goldberg, George I. Drummond, Prakash V. Sulakhe, David M. Smith, Yifan Cheng, Galit Kafri, Thomas M. Walz, Efstratios Stan Skafidas, Hans‐Peter Klenk and Peter Zwickl. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Biological Chemistry, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, The Journal of Clinical Endocrinology & Metabolism and Sensors.
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.