Danielle R. Reed

14.5k citations
171 papers · 9.5k indexed · 3 hit papers · h-index 56

Danielle R. Reed

169 papers receiving 9.3k citations

Hit Papers

T2R38 taste receptor polymorphisms underlie suscep...4332002202620102018100200300400500

Peers

Danielle R. Reed
Comparison fields: 5 of 167
  • Sensory Systems 4.4k
  • Nutrition and Dietetics 5.8k
  • Endocrine and Autonomic Systems 1.3k
  • Biomedical Engineering 2.8k
  • Food Science 1.0k
Replace Gary K. Beauchamp with:
Gary K. Beauchamp United States
Valerie B. Duffy United States
Paul Breslin United States
Robert I. Henkin United States
Julie A. Mennella United States
Marta Yanina Pepino United States
Hong Wang United States
Jacobo Wortsman United States
Michael G. Tordoff United States
George Preti United States
Danielle R. Reed relative to Gary K. Beauchamp United States Gary K. Beauchamp's profile →
Citations per field
00.5×1.5×
Gary K. Beauchamp · 1×
Citations per year

Countries citing papers authored by Danielle R. Reed

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Danielle R. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle R. Reed Line = papers co-authored together Danielle R. Reed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202312
4 20232
5 20225
6 20223
7 202228
8 202121
9 20219
10 20207
11 2020130
12 20207
13 202087
14 202014
15 20199
16 201811
17 201697
18 2012191
19 2010147
20
Bimodal distribution of sensitivity to the savory taste of monosodium glutamate and polymorphisms of known glutamate taste receptors
20032

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), Advanced Chemical Sensor Technologies (63 papers), Regulation of Appetite and Obesity (23 papers), Adipose Tissue and Metabolism (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetic and phenotypic traits in livestock (9 papers) and Obesity, Physical Activity, Diet (8 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.

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2026