Pamela Dalton

7.5k citations
102 papers · 4.9k indexed · 2 hit papers · h-index 35
Topics
Olfactory and Sensory Function Studies (70 papers)Advanced Chemical Sensor Technologies (42 papers)Biochemical Analysis and Sensing Techniques (16 papers)
Journals
NatureSHILAP Revista de lepidopterologíaEnvironmental Science & Technology

In The Last Decade

Pamela Dalton

94 papers receiving 4.7k citations

Hit Papers

Evaluating the ‘Labeled Magnitude Scale’ for Measuring Se...199620262006201619961997100200300400500

Peers

Pamela Dalton
Comparison fields: 5 of 176
  • Sensory Systems 2.4k
  • Biomedical Engineering 1.4k
  • Nutrition and Dietetics 1.2k
  • Genetics 800
  • Molecular Biology 519
Replace Steven Nordin with:
Steven Nordin Sweden
William S. Cain United States
Richard L. Doty United States
Jayant M. Pinto United States
Claire Murphy United States
David G. Laing Australia
Monique A. M. Smeets Netherlands
Veronika Schöpf Austria
Johan N. Lundström Sweden
Barry G. Green United States
Pamela Dalton relative to Steven Nordin Sweden Steven Nordin's profile →
Citations per field
00.5×10×15×18.2×
Steven Nordin · 1×
Citations per year

Countries citing papers authored by Pamela Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Dalton. 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 Pamela Dalton. The network helps show where Pamela Dalton may publish in the future.

Co-authorship network of co-authors of Pamela Dalton

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 12
5 1
6 21
7 33
8 14
9 6
10 25
11 6
12 37
13 42
14 113
15 73
16 26
17 36
18 160
19 120
20 86

About Pamela Dalton

Pamela Dalton is a scholar working on Sensory Systems, Immunology and Allergy and Process Chemistry and Technology, having authored 102 papers that have together received 4.9k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (70 papers), Advanced Chemical Sensor Technologies (42 papers) and Biochemical Analysis and Sensing Techniques (16 papers). The work is most often cited by research in Sensory Systems (2.4k citations), Nutrition and Dietetics (1.2k citations) and Process Chemistry and Technology (136 citations). Pamela Dalton has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Paul Breslin, Beverly J. Cowart, Charles J. Wysocki, P. A. Jacobs, R S James, Krystyna Rankin, Jennifer Higgins, Barry G. Green, Kai Zhao and Henry J. Lawley. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Environmental Science & Technology.

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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