John G. Csernansky

296 papers receiving 15.9k citations

John G. Csernansky's Hit Papers

Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults 2007 · 1.3k citations
1.3k0+10+20Years since publication50010001.5k

Peers

John G. Csernansky
Comparison fields: 5 of 188
  • Biological Psychiatry 1.7k
  • Behavioral Neuroscience 1.8k
  • Psychiatry and Mental health 5.8k
  • Cognitive Neuroscience 5.9k
  • Developmental Neuroscience 855
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Countries citing papers authored by John G. Csernansky

Since Specialization
Citations

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

Fields of papers citing papers by John G. Csernansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 297 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hippocampal atrophy in recurrent major depression.
Hit paper breakdown →
19961518
2
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults
Hit paper breakdown →
20071275
3 2009371
4 1998359
5 2006338
6 2004281
7 2005270
8 2010245
9 2003241
10 2003209
11 2009196
12 1994192
13 2008189
14 2000188
15 2002185
16 2007178
17 1997174
18 1994174
19 2002169
20 2002154

About John G. Csernansky

John G. Csernansky is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 297 papers that have together received 16.4k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (98 papers), Functional Brain Connectivity Studies (82 papers), Advanced Neuroimaging Techniques and Applications (56 papers), Neuroscience and Neuropharmacology Research (44 papers), Alzheimer's disease research and treatments (35 papers), Tryptophan and brain disorders (31 papers), Stress Responses and Cortisol (28 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). The work is most often cited by research in Biological Psychiatry (1.7k citations), Behavioral Neuroscience (1.8k citations), Psychiatry and Mental health (5.8k citations), Cognitive Neuroscience (5.9k citations) and Developmental Neuroscience (855 citations). John G. Csernansky has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Lei Wang, John C. Morris, Yvette I. Sheline, Hongxin Dong, Deanna M. Barch, M. Gado, Michael I. Miller, Michael W. Vannier, Randy L. Buckner and Daniel S. Marcus. Their work appears in journals such as Biological Psychiatry, Schizophrenia Research, Psychiatry Research, NeuroImage and Psychopharmacology.

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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