Travis P. Todd

2.3k citations
46 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Travis P. Todd

44 papers receiving 1.6k citations

Peers

Travis P. Todd
Comparison fields: 5 of 91
  • Behavioral Neuroscience 312
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 814
  • Developmental and Educational Psychology 356
  • Sensory Systems 108
Replace Dominic M. Dwyer with:
Dominic M. Dwyer United Kingdom
Jacquelyn Cranney Australia
Andrew R. Delamater United States
Yuji K. Takahashi United States
Howard C. Cromwell United States
Gonzalo P. Urcelay United Kingdom
Jon C. Horvitz United States
Helen J. Cassaday United Kingdom
Marieke Soeter Netherlands
Juan M. Rosas Spain
Travis P. Todd relative to Dominic M. Dwyer United Kingdom Dominic M. Dwyer's profile →
Citations per field
00.5×1.5×1.8×
Dominic M. Dwyer · 1×
Citations per year

Countries citing papers authored by Travis P. Todd

Since Specialization
Citations

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

Fields of papers citing papers by Travis P. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis P. Todd. 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 Travis P. Todd. The network helps show where Travis P. Todd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20224
3 20219
4 20211
5 20219
6 201973
7 20197
8 201661
9 201537
10 20156
11 201532
12 201352
13 2013101
14 201391
15 201369
16 2012175
17 201192
18 201148
19 2011206
20 201011

About Travis P. Todd

Travis P. Todd is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (37 papers), Neuroscience and Neuropharmacology Research (25 papers), Stress Responses and Cortisol (13 papers), Neuroendocrine regulation and behavior (11 papers), Neural dynamics and brain function (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Olfactory and Sensory Function Studies (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Behavioral Neuroscience (312 citations), Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (814 citations), Developmental and Educational Psychology (356 citations) and Sensory Systems (108 citations). Travis P. Todd has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mark E. Bouton, Neil E. Winterbauer, David J. Bucci, Drina Vurbic, Jeffrey S. Taube, Patrick A. LaChance, Stephen E. Chang, Juan M. Rosas, Samuel P. León and Kyle S. Smith. Their work appears in journals such as Behavioral Neuroscience, Neurobiology of Learning and Memory, Frontiers in Behavioral Neuroscience, Learning & Behavior and Behavioural Processes.

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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