Travis D. Goode

1.2k citations
16 papers · 761 indexed · h-index 14
Topics
Memory and Neural Mechanisms (15 papers)Neuroscience and Neuropharmacology Research (11 papers)Stress Responses and Cortisol (7 papers)

In The Last Decade

Travis D. Goode

16 papers receiving 746 citations

Peers

Travis D. Goode
Comparison fields: 5 of 67
  • Cognitive Neuroscience 568
  • Cellular and Molecular Neuroscience 449
  • Behavioral Neuroscience 252
  • Social Psychology 214
  • Molecular Biology 101
Replace Roger Marek with:
Roger Marek Australia
June-Seek Choi South Korea
Jarid Goodman United States
Kelvin Quiñones-Laracuente Puerto Rico
Thomas Bienvenu France
Reed L. Ressler United States
Akinori Ishikawa Japan
Douglas A. Caruana Canada
Hélène Wurtz France
Russell J. Frohardt United States
Travis D. Goode relative to Roger Marek Australia Roger Marek's profile →
Citations per field
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Roger Marek · 1×
Citations per year

Countries citing papers authored by Travis D. Goode

Since Specialization
Citations

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

Fields of papers citing papers by Travis D. Goode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis D. Goode

This figure shows the co-authorship network connecting the top 25 collaborators of Travis D. Goode. A scholar is included among the top collaborators of Travis D. Goode based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Travis D. Goode. Travis D. Goode is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 32
2 87
3 12
4 28
5 79
6 54
7 14
8 163
9 99
10 17
11 33
12 29
13 13
14 6
15 22
16 73

About Travis D. Goode

Travis D. Goode is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 761 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (11 papers) and Stress Responses and Cortisol (7 papers). The work is most often cited by research in Behavioral Neuroscience (252 citations), Cognitive Neuroscience (568 citations) and Cellular and Molecular Neuroscience (449 citations). Travis D. Goode has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Stephen Maren, Gillian M. Acca, Reed L. Ressler, Thomas J. McHugh, Kazumasa Z. Tanaka, Amar Sahay, Thomas F. Giustino, Paul J. Fitzgerald, Olivia W. Miles and Joseph W. Lynch. Their work appears in journals such as Neuron, Nature Neuroscience and Neuropsychopharmacology.

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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