Emily J. Mayhew

663 citations
17 papers · 385 indexed · 1 hit paper · h-index 8
Topics
Sensory Analysis and Statistical Methods (7 papers)Olfactory and Sensory Function Studies (6 papers)Advanced Chemical Sensor Technologies (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Emily J. Mayhew

14 papers receiving 365 citations

Hit Papers

A principal odor map unifies diverse tasks in olfactory p...20232026202420252023255075

Peers

Emily J. Mayhew
Comparison fields: 5 of 97
  • Nutrition and Dietetics 131
  • Food Science 120
  • Biomedical Engineering 92
  • Sensory Systems 75
  • Education 43
Replace Joo-Kyeong Lee with:
Joo-Kyeong Lee South Korea
Lapo Pierguidi Italy
Saara Pentikäinen Finland
Sungeun Cho United States
Christine Zoumas‐Morse United States
Fatma Gülay Kırbaşlar Türkiye
Charles Diako United States
Maria Patrícia Milagres Brazil
Rebecca Ford United Kingdom
Phanit Koomhin Thailand
Emily J. Mayhew relative to Joo-Kyeong Lee South Korea Joo-Kyeong Lee's profile →
Citations per field
00.5×10×15×21.5×
Joo-Kyeong Lee · 1×
Citations per year

Countries citing papers authored by Emily J. Mayhew

Since Specialization
Citations

This map shows the geographic impact of Emily J. Mayhew'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 Emily J. Mayhew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily J. Mayhew more than expected).

Fields of papers citing papers by Emily J. Mayhew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily J. Mayhew. 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 Emily J. Mayhew. The network helps show where Emily J. Mayhew may publish in the future.

Co-authorship network of co-authors of Emily J. Mayhew

This figure shows the co-authorship network connecting the top 25 collaborators of Emily J. Mayhew. A scholar is included among the top collaborators of Emily J. Mayhew 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 Emily J. Mayhew. Emily J. Mayhew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 0
6 2
7 2
8
A principal odor map unifies diverse tasks in olfactory perceptionbreakdown →
93
9 29
10 3
11 7
12 13
13 9
14 7
15 51
16 17
17 150

About Emily J. Mayhew

Emily J. Mayhew is a scholar working on Sensory Systems, Food Science and Animal Science and Zoology, having authored 17 papers that have together received 385 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (7 papers), Olfactory and Sensory Function Studies (6 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Sensory Systems (75 citations), Nutrition and Dietetics (131 citations) and Food Science (120 citations). Emily J. Mayhew has collaborated with scholars based in United States, China and France. Frequent co-authors include Soo‐Yeun Lee, Shelly J. Schmidt, Roger Clemens, Mark Kern, Joanne Slavin, Svetlana Zivanovic, Julie Miller Jones, Joel D. Mainland, Richard C. Gerkin and Benjamín Sánchez-Lengeling. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Food Engineering.

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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