David G. Laing
- Sensory Systems top 0.05%
- Nutrition and Dietetics top 0.2%
- Biomedical Engineering top 1%
- Cellular and Molecular Neuroscience top 2%
- Food Science top 1%
- Co-authors
- Anthony L JinksAndrew LivermoreH. PanhuberIan HutchinsonGill FrancisM. E. WillcoxGraham BellAlan Mackay‐Sim
- Topics
- Olfactory and Sensory Function Studies (76 papers)Advanced Chemical Sensor Technologies (49 papers)Biochemical Analysis and Sensing Techniques (40 papers)
- Journals
- CancerBrain ResearchBiometrics
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
David G. Laing
101 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 156
- Sensory Systems 2.9k
- Nutrition and Dietetics 1.9k
- Biomedical Engineering 1.7k
- Cellular and Molecular Neuroscience 960
- Food Science 742
Countries citing papers authored by David G. Laing
This map shows the geographic impact of David G. Laing'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 G. Laing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Laing more than expected).
Fields of papers citing papers by David G. Laing
This network shows the impact of papers produced by David G. Laing. 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 G. Laing. The network helps show where David G. Laing may publish in the future.
Co-authorship network of co-authors of David G. Laing
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Laing. A scholar is included among the top collaborators of David G. Laing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David G. Laing. David G. Laing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 76 | |
| 3 | Effects of Andrographis paniculata and Zingiber cassumunar mixture on productive performance and carcass quality of broiler chickens. | 2 |
| 4 | 35 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | Analysis of taste mixtures by adults and children | 0 |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | 35 | |
| 14 | 193 | |
| 15 | 78 | |
| 16 | 76 | |
| 17 | 48 | |
| 18 | 217 | |
| 19 | 27 | |
| 20 | An Interlaboratory Study of Firmness, Aroma, and Taste of Pectin Gels | 43 |
About David G. Laing
David G. Laing is a scholar working on Sensory Systems, Nutrition and Dietetics and Biomedical Engineering, having authored 103 papers that have together received 4.3k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (76 papers), Advanced Chemical Sensor Technologies (49 papers) and Biochemical Analysis and Sensing Techniques (40 papers). The work is most often cited by research in Sensory Systems (2.9k citations), Nutrition and Dietetics (1.9k citations) and Cellular and Molecular Neuroscience (960 citations). David G. Laing has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Anthony L Jinks, Andrew Livermore, H. Panhuber, Ian Hutchinson, Gill Francis, M. E. Willcox, Graham Bell, Alan Mackay‐Sim, Leann L. Birch and Burton M. Slotnick. Their work appears in journals such as Cancer, Brain Research and Biometrics.
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.