David Innes
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Reproductive Physiology in Livestock 4
- Ruminant Nutrition and Digestive Physiology 3
- Co-authors
- Peter R. Dodd (7 shared papers)El‐Wui Loh (2 shared papers)P. F. Foley (3 shared papers)C Harper (1 shared paper)S. M. Williams (1 shared paper)A. E. G. Tannenberg (1 shared paper)Gabriele Ende (1 shared paper)Clive Harper (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (4 papers)Journal of Dairy Science (2 papers)Genomics (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
David Innes
20 papers receiving 380 citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 23
- Cellular and Molecular Neuroscience 156
- Neurology 49
- Developmental Neuroscience 16
- Neurology 48
Countries citing papers authored by David Innes
This map shows the geographic impact of David Innes'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 Innes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Innes more than expected).
Fields of papers citing papers by David Innes
This network shows the impact of papers produced by David Innes. 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 Innes. The network helps show where David Innes may publish in the future.
Co-authors
The 25 scholars most cited alongside David Innes, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 108 | |
| 2 | 2004 | 68 | |
| 3 | 2004 | 49 | |
| 4 | 2014 | 31 | |
| 5 | 2008 | 31 | |
| 6 | 2004 | 16 | |
| 7 | 2006 | 16 | |
| 8 | 2006 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2001 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2001 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About David Innes
David Innes is a scholar working on Molecular Biology, Agronomy and Crop Science, Cellular and Molecular Neuroscience, Genetics and Plant Science, having authored 21 papers that have together received 387 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Reproductive Physiology in Livestock (4 papers), Genetic and phenotypic traits in livestock (3 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), GABA and Rice Research (2 papers), Plant Physiology and Cultivation Studies (2 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Cellular and Molecular Neuroscience (156 citations), Neurology (49 citations), Developmental Neuroscience (16 citations) and Neurology (48 citations). David Innes has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Peter R. Dodd, El‐Wui Loh, P. F. Foley, C Harper, S. M. Williams, A. E. G. Tannenberg, Gabriele Ende, Clive Harper, Edith V. Sullivan and Adolf Pfefferbaum. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Dairy Science, Genomics, Journal of Agricultural and Food Chemistry and Scientific Reports.
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.