Shaun M. Eack

173 papers receiving 6.4k citations

Shaun M. Eack's Hit Papers

Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia 2019 · 287 citations
2870+2+4Years since publication50100150200250

Peers

Shaun M. Eack
Comparison fields: 5 of 128
  • Psychiatry and Mental health 3.1k
  • Cognitive Neuroscience 2.3k
  • Biological Psychiatry 250
  • Clinical Psychology 1.7k
  • Philosophy 606
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Tara Ann Niendam United States
Amy Elizabeth Pinkham United States
Alexandra Philipsen Germany
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Kristin R. Laurens Australia
Louise Johns United Kingdom
Justin S. Feinstein United States
Neus Barrantes‐Vidal Spain
BENNO GRAF SCHIMMELMANN Germany
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Citations per year

Countries citing papers authored by Shaun M. Eack

Since Specialization
Citations

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

Fields of papers citing papers by Shaun M. Eack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007357
2
Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia
Hit paper breakdown →
2019287
3 2010275
4 2009211
5 2009175
6 2011174
7 2012172
8 2014150
9 2009144
10 2010133
11 2016130
12 2013127
13 2010126
14 2008112
15 2017108
16 2014102
17 200699
18 201499
19 201397
20 201495

About Shaun M. Eack

Shaun M. Eack is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Clinical Psychology, Philosophy and Experimental and Cognitive Psychology, having authored 178 papers that have together received 6.7k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (71 papers), Autism Spectrum Disorder Research (33 papers), Functional Brain Connectivity Studies (27 papers), Child and Adolescent Psychosocial and Emotional Development (23 papers), Mental Health and Psychiatry (20 papers), Personality Disorders and Psychopathology (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Mental Health Research Topics (11 papers). The work is most often cited by research in Psychiatry and Mental health (3.1k citations), Cognitive Neuroscience (2.3k citations), Biological Psychiatry (250 citations), Clinical Psychology (1.7k citations) and Philosophy (606 citations). Shaun M. Eack has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Matcheri S. Keshavan, Christina Evangeline Newhill, Nancy J. Minshew, Deborah Pritchard Greenwald, Susan S. Hogarty, Carla A. Mazefsky, Lauren Bishop, Gerard E. Hogarty, Debra M. Montrose and Konasale M. R. Prasad. Their work appears in journals such as Schizophrenia Research, Schizophrenia Bulletin, Psychiatric Services, Journal of Autism and Developmental Disorders and Journal of Psychiatric Research.

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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