Suzanne R. Best

8.4k total citations · 2 hit papers
32 papers, 6.3k citations indexed

About

Suzanne R. Best is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Epidemiology. According to data from OpenAlex, Suzanne R. Best has authored 32 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Clinical Psychology, 8 papers in Experimental and Cognitive Psychology and 5 papers in Epidemiology. Recurrent topics in Suzanne R. Best's work include Posttraumatic Stress Disorder Research (22 papers), Child Abuse and Trauma (9 papers) and Resilience and Mental Health (6 papers). Suzanne R. Best is often cited by papers focused on Posttraumatic Stress Disorder Research (22 papers), Child Abuse and Trauma (9 papers) and Resilience and Mental Health (6 papers). Suzanne R. Best collaborates with scholars based in United States, Canada and Germany. Suzanne R. Best's co-authors include Daniel S. Weiss, Emily J. Ozer, Charles R. Marmar, Thomas J. Metzler, Nnamdi Pole, Thomas C. Neylan, Akiva Liberman, Jeffrey Fagan, Alain Brunet and Cynthia Rogers and has published in prestigious journals such as Psychological Bulletin, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Suzanne R. Best

31 papers receiving 5.9k citations

Hit Papers

Predictors of posttraumatic stress disorder and symptoms ... 2003 2026 2010 2018 2003 2008 500 1000 1.5k 2.0k

Peers

Suzanne R. Best
Comparison fields: 5 of 129
  • Clinical Psychology 5.1k
  • General Health Professions 864
  • Social Psychology 604
  • Sociology and Political Science 570
  • Epidemiology 553
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Citations per field, relative to Suzanne R. Best
Suzanne R. Best · 1×
Citations per year, relative to Suzanne R. Best
Suzanne R. Best · 1×

Countries citing papers authored by Suzanne R. Best

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne R. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne R. Best. 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 Suzanne R. Best. The network helps show where Suzanne R. Best may publish in the future.

Co-authorship network of co-authors of Suzanne R. Best

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne R. Best. A scholar is included among the top collaborators of Suzanne R. Best 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 Suzanne R. Best. Suzanne R. Best is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 33
2 18
3 137
4 90
5 71
6 50
7 32
8 35
9 6
10 71
11 293
12 172
13 130
14 98
15
Predictors of posttraumatic stress disorder and symptoms in adults: A meta-analysis. breakdown →
2465
16 52
17 63
18 124
19 133
20 49

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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