T. Smock

854 citations
35 papers · 707 · h-index 16

Impact in

Papers in

T. Smock

35 papers receiving 683 citations

Peers

T. Smock
Comparison fields: 5 of 75
  • Behavioral Neuroscience 111
  • Cellular and Molecular Neuroscience 424
  • Social Psychology 252
  • Endocrine and Autonomic Systems 76
  • Cognitive Neuroscience 141
Replace K.S. Kits with:
K.S. Kits Netherlands
E. R. Smith United States
Troy Albert Reaves United States
Kenneth J. Burke United States
H.W.J. Joosten Netherlands
Changjiu Zhao United States
Taehong Yang United States
Delbert D. Thiessen United States
Elizabeth M. Kurz United States
Mark Hebert United States
T. Smock relative to K.S. Kits Netherlands K.S. Kits's profile →
Citations per field
00.5×1.5×
K.S. Kits · 1×
Citations per year

Countries citing papers authored by T. Smock

Since Specialization
Citations

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

Fields of papers citing papers by T. Smock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197892
2 197762
3 197659
4 197854
5 198049
6 198137
7 197636
8 198728
9 198827
10 199425
11 199822
12 199022
13 198219
14 199218
15 199017
16 199916
17 198912
18 197712
19 198710
20 199110

About T. Smock

T. Smock is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Cognitive Neuroscience, Molecular Biology and Behavioral Neuroscience, having authored 35 papers that have together received 707 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (17 papers), Memory and Neural Mechanisms (10 papers), Neurobiology and Insect Physiology Research (7 papers), Stress Responses and Cortisol (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Behavioral Neuroscience (111 citations), Cellular and Molecular Neuroscience (424 citations), Social Psychology (252 citations), Endocrine and Autonomic Systems (76 citations) and Cognitive Neuroscience (141 citations). T. Smock has collaborated with scholars based in United States. Frequent co-authors include S. Arch, David S. Albeck, Howard L. Fields, W. Dale Branton, Earl Mayeri, Cameron G. McCarthy, Ann N. Topple, Margaret E. Beard, G Belcher and Sara L. Arnold. Their work appears in journals such as Brain Research, Peptides, Experimental Brain Research, Journal of Comparative Physiology A and The Journal of General Physiology.

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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