Candace M. Raio

3.7k citations
23 papers · 2.5k indexed · 1 hit paper · h-index 14

Candace M. Raio

23 papers receiving 2.4k citations

Hit Papers

Preventing the return of fear in humans using reconsolida...9082009202620142020250500750

Peers

Candace M. Raio
Comparison fields: 5 of 127
  • Behavioral Neuroscience 632
  • General Decision Sciences 148
  • Cognitive Neuroscience 1.5k
  • Applied Psychology 276
  • Experimental and Cognitive Psychology 679
Replace Catherine A. Hartley with:
Catherine A. Hartley United States
Oliver J. Robinson United Kingdom
Jean‐Claude Dreher France
Burkhard Brocke Germany
Diane L. Santesso Canada
Paul F. Collins United States
Caroline F. Zink United States
Jeffrey C. Cooper United States
Michiko Sakaki Japan
Justin S. Feinstein United States
Candace M. Raio relative to Catherine A. Hartley United States Catherine A. Hartley's profile →
Citations per field
00.5×1.5×
Catherine A. Hartley · 1×
Citations per year

Countries citing papers authored by Candace M. Raio

Since Specialization
Citations

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

Fields of papers citing papers by Candace M. Raio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Candace M. Raio. 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 Candace M. Raio. The network helps show where Candace M. Raio may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202235
2 202210
3 20225
4 202110
5 202111
6 20212
7 202030
8 201740
9 201753
10 201641
11 20164
12 201560
13 201469
14 201483
15 201468
16 20149
17 201227
18 20128
19
Preventing the return of fear in humans using reconsolidation update mechanismsbreakdown →
2009908
20 2007487

About Candace M. Raio

Candace M. Raio is a scholar working on Behavioral Neuroscience, General Decision Sciences and Applied Psychology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Memory and Neural Mechanisms (7 papers), Mental Health Research Topics (7 papers), Neuroendocrine regulation and behavior (4 papers), Decision-Making and Behavioral Economics (4 papers), Neural and Behavioral Psychology Studies (4 papers), Psychology of Moral and Emotional Judgment (4 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Behavioral Neuroscience (632 citations), General Decision Sciences (148 citations) and Cognitive Neuroscience (1.5k citations). Candace M. Raio has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Elizabeth A. Phelps, Daniela Schiller, Joseph E. LeDoux, David C. Johnson, Marie‐H. Monfils, Tali Sharot, A. Ross Otto, Nathaniel D. Daw, Laura Palazzolo and Edith Brignoni‐Pérez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Neurobiology of Stress, Nature and Learning & Memory.

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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