Helen S. Mayberg

59.4k citations
304 papers · 36.0k indexed · 19 hit papers · h-index 88

Helen S. Mayberg

292 papers receiving 34.8k citations

Hit Papers

A connectomic approach fo...298199720262006201650010001.5k2.0k2.5k

Peers

Helen S. Mayberg
Comparison fields: 5 of 196
  • Biological Psychiatry 2.4k
  • Cognitive Neuroscience 18.0k
  • Behavioral Neuroscience 2.8k
  • Neurology 5.7k
  • Experimental and Cognitive Psychology 6.8k
Replace Barbara J. Sahakian with:
Barbara J. Sahakian United Kingdom
René S. Kahn Netherlands
Sylvain Houle Canada
Joseph L. Price United States
Scott L. Rauch United States
Philip McGuire United Kingdom
Christos Pantelis Australia
Harold A. Sackeïm United States
Robert M. Post United States
Nancy C. Andreasen United States
Helen S. Mayberg relative to Barbara J. Sahakian United Kingdom Barbara J. Sahakian's profile →
Citations per field
00.5×1.5×2.2×
Barbara J. Sahakian · 1×
Citations per year

Countries citing papers authored by Helen S. Mayberg

Since Specialization
Citations

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

Fields of papers citing papers by Helen S. Mayberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen S. Mayberg. 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 Helen S. Mayberg. The network helps show where Helen S. Mayberg may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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15 2018105
16 201841
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Deep Brain Stimulation for Treatment-Resistant Depressionbreakdown →
20052732
18 2003150
19
Effects of TV violence viewing on learning and memory in children
19991
20
Reciprocal limbic-cortical function and mood: Converging PET findings in depression and normal sadness
19973

About Helen S. Mayberg

Helen S. Mayberg is a scholar working on Biological Psychiatry, Neurology and Cognitive Neuroscience, having authored 304 papers that have together received 36.0k indexed citations. Recurring topics across this work include Neurological disorders and treatments (116 papers), Functional Brain Connectivity Studies (107 papers), Treatment of Major Depression (60 papers), Transcranial Magnetic Stimulation Studies (50 papers), Mental Health Research Topics (38 papers), Advanced Neuroimaging Techniques and Applications (35 papers), Parkinson's Disease Mechanisms and Treatments (26 papers) and Stress Responses and Cortisol (22 papers). The work is most often cited by research in Biological Psychiatry (2.4k citations), Cognitive Neuroscience (18.0k citations) and Behavioral Neuroscience (2.8k citations). Helen S. Mayberg has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Sidney H. Kennedy, Paul E. Holtzheimer, Andrés M. Lozano, Paul Jerabek, Clement Hamani, Mario Liotti, Scott McGinnis, R. Cameron Craddock, Kerry J. Ressler and Roderick K. Mahurin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

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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