Kyle S. Smith

5.3k citations
42 papers · 3.9k · h-index 24

Impact in

Papers in

Kyle S. Smith

38 papers receiving 3.7k citations

Peers

Kyle S. Smith
Comparison fields: 5 of 125
  • Cellular and Molecular Neuroscience 1.8k
  • Cognitive Neuroscience 1.7k
  • Endocrine and Autonomic Systems 509
  • Behavioral Neuroscience 223
  • Sensory Systems 214
Replace J. Wayne Aldridge with:
J. Wayne Aldridge United States
Susana Peciña United States
Julie L. Fudge United States
Laura H. Corbit Australia
Sean B. Ostlund United States
Peter D. Balsam United States
Jared W. Young United States
Roelof Eikelboom Canada
Shelly B. Flagel United States
Mary C. Olmstead Canada
Kyle S. Smith relative to J. Wayne Aldridge United States J. Wayne Aldridge's profile →
Citations per field
00.5×1.5×
J. Wayne Aldridge · 1×
Citations per year

Countries citing papers authored by Kyle S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Kyle S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle S. Smith. 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 Kyle S. Smith. The network helps show where Kyle S. Smith may publish in the future.

Co-authors

The 22 scholars most cited alongside Kyle S. Smith, 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 Kyle S. Smith Line = papers co-authored together Kyle S. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008430
2 2007356
3 2011336
4 2006317
5 2007303
6 2005297
7 2013224
8 2009191
9 2016189
10 2006188
11 2012134
12 2016102
13 200994
14 201084
15 200984
16 201472
17 201758
18 201553
19
Habit formation.
201651
20 201649

About Kyle S. Smith

Kyle S. Smith is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology, Molecular Biology and Nutrition and Dietetics, having authored 42 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Neural dynamics and brain function (13 papers), Neuroendocrine regulation and behavior (10 papers), Memory and Neural Mechanisms (10 papers), Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.7k citations), Endocrine and Autonomic Systems (509 citations), Behavioral Neuroscience (223 citations) and Sensory Systems (214 citations). Kyle S. Smith has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kent Berridge, J. Wayne Aldridge, Ann M. Graybiel, Amy J. Tindell, Susana Peciña, Stephen V. Mahler, David J. Bucci, Stephen E. Chang, Bryan W. Luikart and Jun Zhang. Their work appears in journals such as Journal of Neuroscience, Learning & Memory, Neurobiology of Learning and Memory, European Journal of Neuroscience and Brain Research.

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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