Suzanne G. Helfer

36 total papers · 1.6k total citations
28 papers, 1.2k citations indexed

About

Suzanne G. Helfer is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Applied Psychology. According to data from OpenAlex, Suzanne G. Helfer has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 16 papers in Psychiatry and Mental health and 7 papers in Applied Psychology. Recurrent topics in Suzanne G. Helfer's work include Pain Management and Placebo Effect (23 papers), Empathy and Medical Education (15 papers) and Psychosomatic Disorders and Their Treatments (6 papers). Suzanne G. Helfer is often cited by papers focused on Pain Management and Placebo Effect (23 papers), Empathy and Medical Education (15 papers) and Psychosomatic Disorders and Their Treatments (6 papers). Suzanne G. Helfer collaborates with scholars based in United States, Australia and Switzerland. Suzanne G. Helfer's co-authors include Andrew L. Geers, Paul E. Weiland, Kristin Kosbab, Stephanie L. Fowler, Justin A. Wellman, Christopher France, James A. McCubbin, Ben Colagiuri, Kate Faasse and Jon D. Elhai and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychosomatic Medicine and American Heart Journal.

In The Last Decade

Suzanne G. Helfer

26 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suzanne G. Helfer 755 434 184 181 176 28 1.2k
Herbert Spiegel 1.1k 1.5× 332 0.8× 80 0.4× 98 0.5× 74 0.4× 43 1.4k
Alison Watson 509 0.7× 234 0.5× 47 0.3× 274 1.5× 115 0.7× 41 973
Peter Krummenacher 396 0.5× 230 0.5× 39 0.2× 165 0.9× 65 0.4× 19 1.1k
Peter la Cour 387 0.5× 462 1.1× 70 0.4× 78 0.4× 47 0.3× 41 1.4k
Alan H. Roberts 311 0.4× 194 0.4× 59 0.3× 83 0.5× 73 0.4× 42 1.0k
Johannes A. C. Laferton 305 0.4× 230 0.5× 159 0.9× 39 0.2× 66 0.4× 31 1.1k
Ian Wickramasekera 508 0.7× 334 0.8× 43 0.2× 78 0.4× 71 0.4× 58 935
Tobias Κube 538 0.7× 270 0.6× 225 1.2× 52 0.3× 85 0.5× 83 1.5k
John F. Chaves 640 0.8× 206 0.5× 47 0.3× 134 0.7× 36 0.2× 25 1.1k
Denis Gossard 193 0.3× 147 0.3× 76 0.4× 205 1.1× 97 0.6× 21 1.1k

Countries citing papers authored by Suzanne G. Helfer

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne G. Helfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne G. Helfer

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

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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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