James B. Potash

36.0k total citations · 2 hit papers
136 papers, 8.4k citations indexed

About

James B. Potash is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, James B. Potash has authored 136 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 50 papers in Molecular Biology and 39 papers in Psychiatry and Mental health. Recurrent topics in James B. Potash's work include Genetics and Neurodevelopmental Disorders (40 papers), Genetic Associations and Epidemiology (39 papers) and Bipolar Disorder and Treatment (37 papers). James B. Potash is often cited by papers focused on Genetics and Neurodevelopmental Disorders (40 papers), Genetic Associations and Epidemiology (39 papers) and Bipolar Disorder and Treatment (37 papers). James B. Potash collaborates with scholars based in United States, Germany and Canada. James B. Potash's co-authors include Peter P. Zandi, J. Raymond DePaulo, Dean F. MacKinnon, Michael Rongione, Sarven Sabunciyan, Andrew P. Feinberg, Maree J. Webster, Christine Ladd‐Acosta, Virginia L. Willour and Rafael A. Irizarry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

James B. Potash

134 papers receiving 8.2k 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.

The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores

2009 1.6k citations James B. Potash et al. profile →
Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals

2019 277 citations Patricia Braun, Shizhong Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James B. Potash United States	46	3.5k	2.3k	1.9k	1.2k	899	136	8.4k
Gerome Breen United Kingdom	50	2.3k 0.6×	2.4k 1.0×	1.7k 0.9×	1.7k 1.4×	973 1.1×	280	8.6k
Bart P. F. Rutten Netherlands	48	2.7k 0.8×	1.1k 0.5×	1.9k 1.0×	1.6k 1.3×	1.2k 1.3×	243	9.3k
Stephen J. Glatt United States	45	2.2k 0.6×	2.0k 0.8×	2.4k 1.3×	1.1k 0.9×	734 0.8×	156	7.1k
Francis J. McMahon United States	54	2.4k 0.7×	3.1k 1.3×	3.4k 1.8×	1.3k 1.1×	1.2k 1.3×	188	9.1k
Bertram Müller‐Myhsok Germany	50	2.0k 0.6×	1.7k 0.7×	770 0.4×	799 0.7×	727 0.8×	197	8.7k
Marco P. Boks Netherlands	49	2.1k 0.6×	1.0k 0.4×	2.2k 1.2×	1.3k 1.1×	828 0.9×	204	8.4k
John R. Kelsoe United States	47	1.8k 0.5×	2.0k 0.9×	2.7k 1.5×	977 0.8×	906 1.0×	167	8.1k
Andrea Schmitt Germany	48	3.3k 0.9×	1.0k 0.4×	1.8k 1.0×	679 0.6×	1.4k 1.6×	254	8.6k
Dan Rujescu Germany	57	3.1k 0.9×	2.2k 0.9×	2.6k 1.4×	1.8k 1.5×	1.6k 1.8×	347	11.4k
Alain Malafosse Switzerland	53	2.6k 0.7×	2.0k 0.8×	3.1k 1.6×	2.5k 2.1×	823 0.9×	168	9.6k

Countries citing papers authored by James B. Potash

Since Specialization

Citations

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

Fields of papers citing papers by James B. Potash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James B. Potash. 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 James B. Potash. The network helps show where James B. Potash may publish in the future.

Co-authorship network of co-authors of James B. Potash

This figure shows the co-authorship network connecting the top 25 collaborators of James B. Potash. A scholar is included among the top collaborators of James B. Potash 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 James B. Potash. James B. Potash 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

Altinay, Murat, Mahendra T. Bhati, Susan K. Conroy, et al.. (2025). Genetics of Response to ECT, TMS, Ketamine and Esketamine. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 198(7). 88–102. 1 indexed citations

Hoth, Karin F., et al.. (2022). The Role of Sex in Genetic Association Studies of Depression. PubMed. 7(6).

Cordner, Zachary A., et al.. (2021). Fluoxetine and environmental enrichment similarly reverse chronic social stress-related depression- and anxiety-like behavior, but have differential effects on amygdala gene expression. Neurobiology of Stress. 15. 100392–100392. 23 indexed citations

Everly, George S., et al.. (2020). Leadership Principles to Decrease Psychological Casualties in COVID-19 and Other Disasters of Uncertainty. Disaster Medicine and Public Health Preparedness. 16(2). 767–769. 18 indexed citations

Hing, Benjamin, Patricia Braun, Zachary A. Cordner, et al.. (2018). Chronic social stress induces DNA methylation changes at an evolutionary conserved intergenic region in chromosome X. Epigenetics. 13(6). 627–641. 26 indexed citations

Knowles, David A., Joe R. Davis, Anil Raj, et al.. (2017). Allele-specific expression reveals interactions between genetic variation and environment. Nature Methods. 14(7). 699–702. 88 indexed citations

Monson, Eric T., Mehdi Pirooznia, Jennifer Parla, et al.. (2017). Assessment of Whole-Exome Sequence Data in Attempted Suicide within a Bipolar Disorder Cohort. PubMed. 3(1). 1–11. 9 indexed citations

Gaynor, Sophia C., Eric T. Monson, Adam P. DeLuca, et al.. (2016). A targeted sequencing study of glutamatergic candidate genes in suicide attempters with bipolar disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(8). 1080–1087. 13 indexed citations

Pirooznia, Mehdi, Dubravka Jancic, Dean F. MacKinnon, et al.. (2015). Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features. Psychological Medicine. 45(11). 2437–2446. 37 indexed citations

10.

Coryell, William, Joseph E. Cavanaugh, Martin B. Keller, et al.. (2014). Seasonal variation of depressive symptoms in unipolar major depressive disorder. Comprehensive Psychiatry. 55(8). 1891–1899. 15 indexed citations

11.

Stevens, Daniel A., Holly C. Wilcox, Dean F. MacKinnon, et al.. (2013). POSTTRAUMATIC STRESS DISORDER INCREASES RISK FOR SUICIDE ATTEMPT IN ADULTS WITH RECURRENT MAJOR DEPRESSION. Depression and Anxiety. 30(10). n/a–n/a. 44 indexed citations

12.

Han, Shizhong, Bao‐Zhu Yang, Henry R. Kranzler, et al.. (2013). Integrating GWASs and Human Protein Interaction Networks Identifies a Gene Subnetwork Underlying Alcohol Dependence. The American Journal of Human Genetics. 93(6). 1027–1034. 53 indexed citations

13.

Goes, Fernando S., Michael G. McCusker, O. Joseph Bienvenu, et al.. (2011). Co-morbid anxiety disorders in bipolar disorder and major depression: familial aggregation and clinical characteristics of co-morbid panic disorder, social phobia, specific phobia and obsessive-compulsive disorder. Psychological Medicine. 42(7). 1449–1459. 101 indexed citations

14.

Payne, Jennifer L., Peter P. Zandi, O. Joseph Bienvenu, et al.. (2009). Premenstrual mood symptoms: study of familiality and personality correlates in mood disorder pedigrees. Archives of Women s Mental Health. 12(1). 27–34. 15 indexed citations

15.

Shi, Jiajun, Jacqueline K. Wittke‐Thompson, Judith A. Badner, et al.. (2008). Clock genes may influence bipolar disorder susceptibility and dysfunctional circadian rhythm. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(7). 1047–1055. 166 indexed citations

16.

Levinson, Douglas F., Oleg V. Evgrafov, James A. Knowles, et al.. (2007). Genetics of Recurrent Early-Onset Major Depression (GenRED): Significant Linkage on Chromosome 15q25-q26 After Fine Mapping With Single Nucleotide Polymorphism Markers. American Journal of Psychiatry. 164(2). 259–264. 31 indexed citations

17.

Holmans, Peter, Myrna M. Weissman, George S. Zubenko, et al.. (2007). Genetics of Recurrent Early-Onset Major Depression (GenRED): Final Genome Scan Report. American Journal of Psychiatry. 164(2). 248–258. 67 indexed citations

18.

Kempf, Lucas, et al.. (2005). Mood disorder with psychotic features, schizoaffective disorder, and schizophrenia with mood features: Trouble at the borders. International Review of Psychiatry. 17(1). 9–19. 69 indexed citations

19.

Akula, Nirmala, Sevilla D. Detera‐Wadleigh, Thomas G. Schulze, et al.. (2003). Findings in an independent sample support an association between bipolar affective disorder and the G72/G30 locus on chromosome 13q33. Molecular Psychiatry. 9(1). 87–92. 100 indexed citations

20.

Swift‐Scanlan, Theresa, Tsuo‐Hung Lan, M. Daniele Fallin, et al.. (2002). Genetic analysis of the (CTG)n NOTCH4 polymorphism in 65 multiplex bipolar pedigrees. Psychiatric Genetics. 12(1). 43–47. 7 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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