Danielle R. Reed
- Nutrition and Dietetics top 0.02%
- Sensory Systems top 0.02%
- Biomedical Engineering top 0.5%
- Physiology top 2%
- Molecular Biology top 5%
- Co-authors
- Michael G. TordoffJulie A. MennellaAlexander A. BachmanovGary K. BeauchampMarta Yanina PepinoR. Arlen PricePaul BreslinAmanda H. McDaniel
- Topics
- Biochemical Analysis and Sensing Techniques (109 papers)Olfactory and Sensory Function Studies (82 papers)Advanced Chemical Sensor Technologies (63 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Danielle R. Reed
169 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Nutrition and Dietetics 5.8k
- Sensory Systems 4.4k
- Biomedical Engineering 2.8k
- Physiology 1.3k
- Molecular Biology 1.3k
Countries citing papers authored by Danielle R. Reed
This map shows the geographic impact of Danielle R. Reed'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 Danielle R. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle R. Reed more than expected).
Fields of papers citing papers by Danielle R. Reed
This network shows the impact of papers produced by Danielle R. Reed. 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 Danielle R. Reed. The network helps show where Danielle R. Reed may publish in the future.
Co-authorship network of co-authors of Danielle R. Reed
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle R. Reed. A scholar is included among the top collaborators of Danielle R. Reed 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 Danielle R. Reed. Danielle R. Reed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 21 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 130 | |
| 12 | 7 | |
| 13 | 87 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 11 | |
| 17 | 97 | |
| 18 | 191 | |
| 19 | 147 | |
| 20 | Bimodal distribution of sensitivity to the savory taste of monosodium glutamate and polymorphisms of known glutamate taste receptors | 2 |
About Danielle R. Reed
Danielle R. Reed is a scholar working on Sensory Systems, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 171 papers that have together received 9.5k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (109 papers), Olfactory and Sensory Function Studies (82 papers) and Advanced Chemical Sensor Technologies (63 papers). The work is most often cited by research in Sensory Systems (4.4k citations), Nutrition and Dietetics (5.8k citations) and Endocrine and Autonomic Systems (1.3k citations). Danielle R. Reed has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Michael G. Tordoff, Julie A. Mennella, Alexander A. Bachmanov, Gary K. Beauchamp, Marta Yanina Pepino, R. Arlen Price, Paul Breslin, Amanda H. McDaniel, Dennis Drayna and Joseph H. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.