John G. Csernansky

22.7k total citations · 2 hit papers
297 papers, 16.4k citations indexed

About

John G. Csernansky is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, John G. Csernansky has authored 297 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Psychiatry and Mental health, 105 papers in Cognitive Neuroscience and 65 papers in Cellular and Molecular Neuroscience. Recurrent topics in John G. Csernansky's work include Schizophrenia research and treatment (98 papers), Functional Brain Connectivity Studies (82 papers) and Advanced Neuroimaging Techniques and Applications (56 papers). John G. Csernansky is often cited by papers focused on Schizophrenia research and treatment (98 papers), Functional Brain Connectivity Studies (82 papers) and Advanced Neuroimaging Techniques and Applications (56 papers). John G. Csernansky collaborates with scholars based in United States, Japan and Canada. John G. Csernansky's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

John G. Csernansky

296 papers receiving 15.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hippocampal atrophy in recurrent major depression.

1996 1.5k citations Yvette I. Sheline, John G. Csernansky et al. profile →
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults

2007 1.3k citations John G. Csernansky et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John G. Csernansky United States	67	5.9k	5.8k	3.1k	3.1k	2.4k	297	16.4k
Yvette I. Sheline United States	59	10.0k 1.7×	5.5k 0.9×	3.2k 1.1×	3.4k 1.1×	3.3k 1.4×	153	21.2k
Richard E. Carson United States	77	5.6k 1.0×	3.2k 0.5×	7.3k 2.4×	8.1k 2.7×	2.6k 1.1×	565	24.2k
Martha E. Shenton United States	87	15.5k 2.6×	8.0k 1.4×	2.9k 1.0×	10.9k 3.6×	799 0.3×	435	30.1k
Nikos Makris United States	79	16.9k 2.9×	8.7k 1.5×	3.0k 1.0×	9.9k 3.2×	2.4k 1.0×	301	31.7k
Andrew Simmons United Kingdom	85	11.3k 1.9×	6.9k 1.2×	1.7k 0.6×	6.3k 2.1×	3.0k 1.2×	293	23.4k
Robert M. Bilder United States	73	9.7k 1.7×	10.1k 1.7×	2.9k 0.9×	3.6k 1.2×	620 0.3×	253	21.0k
Ronald Killiany United States	51	13.6k 2.3×	7.3k 1.2×	2.2k 0.7×	8.4k 2.8×	4.1k 1.7×	135	25.6k
Leanne M. Williams Australia	92	14.5k 2.5×	5.8k 1.0×	1.9k 0.6×	2.8k 0.9×	935 0.4×	415	26.5k
Venkata S. Mattay United States	70	12.3k 2.1×	5.1k 0.9×	5.1k 1.7×	3.6k 1.2×	952 0.4×	161	24.3k
Kelvin O. Lim United States	92	12.8k 2.2×	5.8k 1.0×	3.2k 1.0×	9.5k 3.1×	1.4k 0.6×	410	25.9k

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-authorship network of co-authors of John G. Csernansky

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

All Works

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20 of 20 papers shown

Smith, Justin D., Emily Fu, Jeffrey Rado, et al.. (2021). Collaborative care for depression management in primary care: A randomized roll-out trial using a type 2 hybrid effectiveness-implementation design. Contemporary Clinical Trials Communications. 23. 100823–100823. 11 indexed citations

Cobia, Derin, et al.. (2021). Basal ganglia shape features differentiate schizoaffective disorder from schizophrenia. Psychiatry Research Neuroimaging. 317. 111352–111352. 8 indexed citations

Kukreja, Lokesh, Ryan K. Shahidehpour, Garam Kım, et al.. (2018). Differential Neurotoxicity Related to Tetracycline Transactivator and TDP-43 Expression in Conditional TDP-43 Mouse Model of Frontotemporal Lobar Degeneration. Journal of Neuroscience. 38(27). 6045–6062. 8 indexed citations

Cobia, Derin, et al.. (2016). Progressive deterioration of thalamic nuclei relates to cortical network decline in schizophrenia. Schizophrenia Research. 180. 21–27. 18 indexed citations

Alpert, Kathryn I., Paige L. Williams, Kathleen Malee, et al.. (2016). Deformed Subcortical Structures Are Related to Past HIV Disease Severity in Youth With Perinatally Acquired HIV Infection. Journal of the Pediatric Infectious Diseases Society. 5(suppl 1). S6–S14. 22 indexed citations

Herting, Megan M., Kristina A. Uban, Paige L. Williams, et al.. (2015). Default Mode Connectivity in Youth With Perinatally Acquired HIV. Medicine. 94(37). e1417–e1417. 27 indexed citations

Gollan, Jackie K., Megan E. Connolly, A. R. Buchanan, et al.. (2015). Neural substrates of negativity bias in women with and without major depression. Biological Psychology. 109. 184–191. 30 indexed citations

Dong, Hongxin, Shirlene Wang, Ziling Zeng, et al.. (2014). Effects of corticotrophin-releasing factor receptor 1 antagonists on amyloid-β and behavior in Tg2576 mice. Psychopharmacology. 231(24). 4711–4722. 38 indexed citations

Lieberman, J.A., F.P. Bymaster, Herbert Y. Meltzer, et al.. (2008). Antipsychotic drugs: Comparison in animal models of efficacy, neurotransmitter regulation, and neuroprotection (Pharmacological Reviews (2002) 60, (358-403)). Pharmacological Reviews. 60(4). 18 indexed citations

10.

Dong, Hongxin, Carla M. Yuede, Carolyn A. Coughlan, Brian Lewis, & John G. Csernansky. (2008). Effects of Memantine on Neuronal Structure and Conditioned Fear in the Tg2576 Mouse Model of Alzheimer's Disease. Neuropsychopharmacology. 33(13). 3226–3236. 51 indexed citations

11.

Geller, Barbara, Michael P. Harms, Lei Wang, et al.. (2008). Effects of Age, Sex, and Independent Life Events on Amygdala and Nucleus Accumbens Volumes in Child Bipolar I Disorder. Biological Psychiatry. 65(5). 432–437. 19 indexed citations

12.

John, John P., et al.. (2007). A proposal for MRI-based parcellation of the frontal pole. Brain Structure and Function. 212(3-4). 245–253. 14 indexed citations

13.

Barch, Deanna M., Yvette I. Sheline, John G. Csernansky, & Abraham Z. Snyder. (2003). Working memory and prefrontal cortex dysfunction: specificity to schizophrenia compared with major depression. Biological Psychiatry. 53(5). 376–384. 241 indexed citations

14.

Dong, Hongxin, Cynthia A. Csernansky, Yunxiang Chu, & John G. Csernansky. (2003). Intracerebroventricular kainic acid administration to neonatal rats alters interneuron development in the hippocampus. Developmental Brain Research. 145(1). 81–92. 10 indexed citations

15.

Posener, Joel A., Lei Wang, Joseph L. Price, et al.. (2002). High-Dimensional Mapping of the Hippocampus in Depression. American Journal of Psychiatry. 160(1). 83–89. 169 indexed citations

16.

Sheline, Yvette I., Kevin J. Black, Mark E. Bardgett, & John G. Csernansky. (1995). Platelet Binding Characteristics Distinguish Placebo Responders from Nonresponders in Depression. Neuropsychopharmacology. 12(4). 315–322. 1 indexed citations

17.

Csernansky, John G. & Yvette I. Sheline. (1993). Abnormalities of Serotonin Metabolism and Nonpsychotic Psychiatric Disorders. Annals of Clinical Psychiatry. 5(4). 275–281. 15 indexed citations

18.

Newcomer, John W., William O. Faustman, Harvey Whiteford, James A. Moses, & John G. Csernansky. (1991). Symptomatology and cognitive impairment associate independently with post-dexamethasone cortisol concentrations in unmedicated schizophrenic patients. Biological Psychiatry. 29(9). 855–864. 52 indexed citations

19.

Petrie, Eric C., et al.. (1990). Correlates of rapid neuroleptic response in male patients with schizophrenia. Psychiatry Research. 33(2). 171–177. 14 indexed citations

20.

Whiteford, Harvey, Sherry J. Riney, & John G. Csernansky. (1987). Distinguishing Depressive and Negative Symptoms in Chronic Schizophrenia. Psychopathology. 20(5-6). 234–236. 26 indexed citations

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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