Christopher T. Smith

26 papers receiving 707 citations

Peers

Christopher T. Smith
Comparison fields: 5 of 109
  • General Decision Sciences 33
  • Behavioral Neuroscience 44
  • Cognitive Neuroscience 236
  • Biological Psychiatry 22
  • Cellular and Molecular Neuroscience 160
Replace Linh C. Dang with:
Linh C. Dang United States
Mary Falcone United States
Nikoletta Bódi Hungary
Dustin Wahlstrom United States
Eveliina Arponen Finland
Jennifer Pacheco United States
Eva Mennigen United States
Julia Deakin United Kingdom
Jaime J. Castrellon United States
Ricardo Cáceda United States
Christopher T. Smith relative to Linh C. Dang United States Linh C. Dang's profile →
Citations per field
00.5×1.5×1.8×
Linh C. Dang · 1×
Citations per year

Countries citing papers authored by Christopher T. Smith

Since Specialization
Citations

This map shows the geographic impact of Christopher T. 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 Christopher T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Smith more than expected).

Fields of papers citing papers by Christopher T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201476
2 201471
3 201949
4 201246
5 202044
6 201743
7 201840
8 201537
9 201737
10 201732
11 201430
12 201827
13 201827
14 201621
15 201821
16 201720
17 201618
18 201717
19 201914
20 201814

About Christopher T. Smith

Christopher T. Smith is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neural and Behavioral Psychology Studies (9 papers), Functional Brain Connectivity Studies (6 papers), Receptor Mechanisms and Signaling (3 papers), Diversity and Career in Medicine (2 papers), Mental Health Research Topics (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in General Decision Sciences (33 citations), Behavioral Neuroscience (44 citations), Cognitive Neuroscience (236 citations), Biological Psychiatry (22 citations) and Cellular and Molecular Neuroscience (160 citations). Christopher T. Smith has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Charlotte A. Boettiger, David H. Zald, Linh C. Dang, Ronald L. Cowan, Scott H. Oppler, Robert Kessler, Gregory R. Samanez‐Larkin, Kendra Leigh Seaman, Daniel O. Claassen and Theresa Swift‐Scanlan. Their work appears in journals such as Journal of Neuroscience, Frontiers in Human Neuroscience, Journal of Cognitive Neuroscience, Translational Psychiatry and Psychopharmacology.

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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