John I. Nürnberger

59.1k total citations · 3 hit papers
388 papers, 19.4k citations indexed

About

John I. Nürnberger is a scholar working on Genetics, Psychiatry and Mental health and Epidemiology. According to data from OpenAlex, John I. Nürnberger has authored 388 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Genetics, 92 papers in Psychiatry and Mental health and 87 papers in Epidemiology. Recurrent topics in John I. Nürnberger's work include Substance Abuse Treatment and Outcomes (80 papers), Bipolar Disorder and Treatment (74 papers) and Genetic Associations and Epidemiology (71 papers). John I. Nürnberger is often cited by papers focused on Substance Abuse Treatment and Outcomes (80 papers), Bipolar Disorder and Treatment (74 papers) and Genetic Associations and Epidemiology (71 papers). John I. Nürnberger collaborates with scholars based in United States, Australia and Canada. John I. Nürnberger's co-authors include Marc A. Schuckit, Victor Hesselbrock, Kathleen K. Bucholz, Theodore Reich, Howard J. Edenberg, Elliot S. Gershon, Tatiana Foroud, Laura J. Bierut, Bernice Porjesz and Henri Begleiter and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

John I. Nürnberger

378 papers receiving 18.7k citations

Hit Papers

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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.

Diagnostic Interview for Genetic Studies

1994 1.7k citations John I. Nürnberger Archives of General Psychiatry profile →
A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA.

1994 1.6k citations Kathleen K. Bucholz, C. Robert Cloninger et al. profile →
Autism genetics: opportunities and challenges for clinical translation

2017 305 citations Daniel Moreno‐De‐Luca, John I. Nürnberger 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 I. Nürnberger United States	69	4.8k	4.1k	4.1k	3.8k	3.7k	388	19.4k
Theodore Reich United States	68	3.2k 0.7×	3.2k 0.8×	2.8k 0.7×	2.0k 0.5×	3.2k 0.9×	203	15.6k
Joel Gelernter United States	91	3.7k 0.8×	5.6k 1.4×	7.9k 1.9×	6.8k 1.8×	5.9k 1.6×	589	26.7k
Victor Hesselbrock United States	67	1.9k 0.4×	1.9k 0.5×	3.6k 0.9×	1.9k 0.5×	4.2k 1.1×	290	15.0k
Henry R. Kranzler United States	88	3.3k 0.7×	2.8k 0.7×	8.2k 2.0×	4.5k 1.2×	5.1k 1.4×	610	28.2k
Kathleen K. Bucholz United States	81	3.1k 0.6×	2.2k 0.5×	3.5k 0.8×	2.1k 0.6×	9.3k 2.5×	461	26.3k
Marc A. Schuckit United States	85	3.1k 0.6×	2.1k 0.5×	7.7k 1.9×	3.4k 0.9×	6.1k 1.7×	500	28.7k
Michael J. Lyons United States	70	3.8k 0.8×	2.0k 0.5×	1.5k 0.4×	1.7k 0.4×	4.8k 1.3×	355	16.3k
Ian Craig United Kingdom	59	3.0k 0.6×	4.8k 1.2×	3.6k 0.9×	6.2k 1.6×	5.9k 1.6×	285	22.4k
Carmine M. Pariante United Kingdom	100	6.5k 1.3×	1.3k 0.3×	2.5k 0.6×	3.8k 1.0×	8.1k 2.2×	495	38.0k
Ole A. Andreassen Norway	80	10.2k 2.1×	5.3k 1.3×	3.8k 0.9×	6.2k 1.6×	4.1k 1.1×	936	31.0k

Countries citing papers authored by John I. Nürnberger

Since Specialization

Citations

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

Fields of papers citing papers by John I. Nürnberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John I. Nürnberger

This figure shows the co-authorship network connecting the top 25 collaborators of John I. Nürnberger. A scholar is included among the top collaborators of John I. Nürnberger 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 I. Nürnberger. John I. Nürnberger 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

Besterman, Aaron D., Lynn E. DeLisi, Dorothy E. Grice, et al.. (2025). Psychiatric Genetics in Clinical Practice: Essential Knowledge for Mental Health Professionals. American Journal of Psychiatry. 182(8). 728–741.

Callahan, Christopher M., John I. Nürnberger, Robert V. Considine, et al.. (2024). Effect of depression treatment on health behaviors and cardiovascular risk factors in primary care patients with depression and elevated cardiovascular risk: data from the eIMPACT trial. Psychological Medicine. 54(12). 3303–3316. 2 indexed citations

Lai, Dongbing, Michael Zhang, Tae‐Hwi Schwantes‐An, et al.. (2024). Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B. JAMA Network Open. 7(12). e2452705–e2452705. 1 indexed citations

Stewart, Jesse C., Jay S. Patel, Sujuan Gao, et al.. (2023). Effect of modernized collaborative care for depression on depressive symptoms and cardiovascular disease risk biomarkers: eIMPACT randomized controlled trial. Brain Behavior and Immunity. 112. 18–28. 12 indexed citations

Johnson, Emma C., Jessica E. Salvatore, Dongbing Lai, et al.. (2023). The collaborative study on the genetics of alcoholism: Genetics. Genes Brain & Behavior. 22(5). e12856–e12856. 6 indexed citations

Lai, Dongbing, Tae‐Hwi Schwantes‐An, Grace Chan, et al.. (2022). Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans. Translational Psychiatry. 12(1). 266–266. 12 indexed citations

Overs, Bronwyn J., Gloria Roberts, Claudio Toma, et al.. (2021). Effects of polygenic risk for suicide attempt and risky behavior on brain structure in young people with familial risk of bipolar disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 186(8). 485–507. 9 indexed citations

Barr, Peter B., Albert J. Ksinan, Jinni Su, et al.. (2020). Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. Translational Psychiatry. 10(1). 196–196. 31 indexed citations

Agrawal, Arpana, Rebecca Tillman, Richard A. Grucza, et al.. (2017). Reciprocal relationships between substance use and disorders and suicidal ideation and suicide attempts in the Collaborative Study of the Genetics of Alcoholism. Journal of Affective Disorders. 213. 96–104. 35 indexed citations

10.

Malički, Mario, Dubravka Vuković, Rachel L. Kember, et al.. (2016). Diagnostic Interview for Genetic Studies. Psychiatric Genetics. 27(1). 17–22. 4 indexed citations

11.

Perich, Tania, Phoebe Lau, Dušan Pavlović, et al.. (2015). What clinical features precede the onset of bipolar disorder?. Journal of Psychiatric Research. 62. 71–77. 35 indexed citations

12.

Olfson, Emily, Howard J. Edenberg, John I. Nürnberger, et al.. (2014). An ADH1B variant and peer drinking in progression to adolescent drinking milestones: Evidence of a gene-by-environment interaction. eScholarship (California Digital Library).

13.

Nürnberger, John I.. (2011). A High-Risk Study of Bipolar Disorder. Archives of General Psychiatry. 68(10). 1012–1012. 143 indexed citations

14.

Kalsi, Gursharan, Po‐Hsiu Kuo, Fazil Alıev, et al.. (2010). A systematic gene-based screen of chr4q22-q32 identifies association of a novel susceptibility gene, DKK2, with the quantitative trait of alcohol dependence symptom counts. Human Molecular Genetics. 19(20). 4121–4121. 2 indexed citations

15.

Patel, Sagar D., H Le-Niculescu, Daphne Koller, et al.. (2010). Coming to grips with complex disorders: Genetic risk prediction in bipolar disorder using panels of genes identified through convergent functional genomics. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(4). 850–877. 56 indexed citations

16.

Edenberg, Howard J., Jianfeng Wang, Huijun Tian, et al.. (2008). A regulatory variation in OPRK1, the gene encoding the -opioid receptor, is associated with alcohol dependence. Human Molecular Genetics. 17(12). 1783–1789. 49 indexed citations

17.

MacKinnon, Dean F., Peter P. Zandi, Elliot S. Gershon, et al.. (2003). Rapid Switching of Mood in Families With Multiple Cases of Bipolar Disorder. Archives of General Psychiatry. 60(9). 921–921. 74 indexed citations

18.

Willour, Virginia L., Peter Zandi, Elliot S. Gershon, et al.. (2001). Genome scan on fifty-six multiplex bipolar pedigrees collected by the NIMH Genetics Initiative (Bipolar Disorder). American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 105(7). 1 indexed citations

19.

Faraone, Stephen V., Mary C. Blehar, John Pepple, et al.. (1996). Diagnostic accuracy and confusability analyses: an application to the Diagnostic Interview for Genetic Studies. Psychological Medicine. 26(2). 401–410. 67 indexed citations

20.

Nürnberger, John I., Jay Simon, & J.N. Hingtgen. (1988). Differences in open field behavior in recombinant inbred strains of mice. The Society for Neuroscience Abstracts. 14(2). 1073. 1 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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