Jennifer Stapleton

12 papers receiving 495 citations

Peers

Jennifer Stapleton
Comparison fields: 5 of 82
  • Sensory Systems 213
  • Nutrition and Dietetics 222
  • Cellular and Molecular Neuroscience 159
  • Cognitive Neuroscience 151
  • Drug Discovery 1
Replace Anna Ścińska with:
Anna Ścińska Poland
Qiang Nai United States
K. Seto Japan
Kristen Kay United States
Alicia Flores‐Cuadrado Spain
Shao‐gang Lu United States
Zhiyong Xie China
Catalina Valdés‐Baizabal Spain
Luis Aguilar Peru
Thomas Knott United States
Jennifer Stapleton relative to Anna Ścińska Poland Anna Ścińska's profile →
Citations per field
00.5×1.7×
Anna Ścińska · 1×
Citations per year

Countries citing papers authored by Jennifer Stapleton

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Stapleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jennifer Stapleton, 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 Jennifer Stapleton Line = papers co-authored together Jennifer Stapleton links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006110
2 200985
3 202053
4 199948
5 201046
6 200237
7 200235
8 200729
9 200824
10 201421
11 200917
12 200711

About Jennifer Stapleton

Jennifer Stapleton is a scholar working on Sensory Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 12 papers that have together received 516 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Multisensory perception and integration (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Sensory Systems (213 citations), Nutrition and Dietetics (222 citations), Cellular and Molecular Neuroscience (159 citations), Cognitive Neuroscience (151 citations) and Drug Discovery (1 citation). Jennifer Stapleton has collaborated with scholars based in United States, Bulgaria and Brazil. Frequent co-authors include Miguel A. L. Nicolelis, Sidney A. Simon, Michael Lavine, Robert L. Wolpert, Kafui Dzirasa, Raul R. Gainetdinov, Marc G. Caron, Stephen Porter, Colleen A. Hanlon and Amy J. Ramsey. Their work appears in journals such as Chemical Senses, Journal of Neuroscience, Drug and Alcohol Dependence, Frontiers in Neuroscience and Frontiers in Pharmacology.

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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