Tim B. Bigdeli

31.8k total citations
50 papers, 611 citations indexed

About

Tim B. Bigdeli is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Tim B. Bigdeli has authored 50 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 13 papers in Molecular Biology and 9 papers in Psychiatry and Mental health. Recurrent topics in Tim B. Bigdeli's work include Genetic Associations and Epidemiology (28 papers), Genomics and Rare Diseases (9 papers) and Schizophrenia research and treatment (6 papers). Tim B. Bigdeli is often cited by papers focused on Genetic Associations and Epidemiology (28 papers), Genomics and Rare Diseases (9 papers) and Schizophrenia research and treatment (6 papers). Tim B. Bigdeli collaborates with scholars based in United States, United Kingdom and Ireland. Tim B. Bigdeli's co-authors include Silviu‐Alin Bacanu, Kenneth S. Kendler, Brien P. Riley, Ayman H. Fanous, Alexis C. Edwards, Bradley T. Webb, Donghyung Lee, Roseann E. Peterson, Peter B. Barr and Jacquelyn L. Meyers and has published in prestigious journals such as Bioinformatics, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Tim B. Bigdeli

45 papers receiving 606 citations

Peers

Tim B. Bigdeli
Oliver Pain United Kingdom
Cuie Sun United States
Yaira Z. Nuñez United States
Laura M. Huckins United States
Nick Craddock United Kingdom
Evan A. Winiger United States
Oliver Pain United Kingdom
Tim B. Bigdeli
Citations per year, relative to Tim B. Bigdeli Tim B. Bigdeli (= 1×) peers Oliver Pain

Countries citing papers authored by Tim B. Bigdeli

Since Specialization
Citations

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

Fields of papers citing papers by Tim B. Bigdeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim B. Bigdeli

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

All Works

20 of 20 papers shown
1.
Bigdeli, Tim B., et al.. (2025). Structural inequities in brain trauma outcome prevalences reported in the All of Us database. American Journal of Epidemiology. 195(1). 267–274.
2.
Bigdeli, Tim B. & Philip D. Harvey. (2025). Recent Advances in Schizophrenia Genomics and Emerging Clinical Implications. Psychiatric Clinics of North America. 48(2). 311–330.
3.
Xu, Jiayi, Dongjing Liu, Giulio Genovese, et al.. (2024). Evaluation of imputation performance of multiple reference panels in a Pakistani population. Human Genetics and Genomics Advances. 6(2). 100395–100395.
4.
Genovese, Giulio, Nicole B. Rockweiler, Bryan R. Gorman, et al.. (2024). BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies. Bioinformatics. 40(2). 27 indexed citations
5.
Blanc, Judite, et al.. (2024). The transnational mental health burden of Haiti’s alleged collapse: preliminary findings from The Haitian Well-Being Study. Frontiers in Public Health. 12. 1415650–1415650. 1 indexed citations
6.
Badal, Varsha D., et al.. (2024). Using machine learning modeling to identify childhood abuse victims on the basis of personality inventory responses. Journal of Psychiatric Research. 180. 8–15. 1 indexed citations
7.
Pogge, David L., et al.. (2023). Intellectual performance correlates of trauma exposure in adolescent psychiatric inpatients. Psychiatry Research. 325. 115231–115231. 1 indexed citations
8.
Barr, Peter B., et al.. (2022). Errors in Terminology, Data Query, and Prevalence Rates. JAMA Psychiatry. 79(11). 1141–1141. 1 indexed citations
9.
Loo, Hanna M. van, Tim B. Bigdeli, Yuri Milaneschi, Steven H. Aggen, & Kenneth S. Kendler. (2020). Data mining algorithm predicts a range of adverse outcomes in major depression. Journal of Affective Disorders. 276. 945–953. 10 indexed citations
10.
Grigoroiu‐Serbânescu, Maria, Giovanni Giaroli, Johan H. Thygesen, et al.. (2019). Predictive power of the ADHD GWAS 2019 polygenic risk scores in independent samples of bipolar patients with childhood ADHD. Journal of Affective Disorders. 265. 651–659. 13 indexed citations
11.
Bigdeli, Tim B., Keith H. Nuechterlein, Catherine A. Sugar, et al.. (2019). Evidence of shared familial factors influencing neurocognitive endophenotypes in adult- and childhood-onset schizophrenia. Psychological Medicine. 50(10). 1672–1679. 9 indexed citations
12.
Docherty, Anna R., Arden Moscati, Tim B. Bigdeli, et al.. (2019). Pathway-based polygene risk for severe depression implicates drug metabolism in CONVERGE. Psychological Medicine. 50(5). 793–798. 5 indexed citations
13.
Savage, Jeanne E., Jessica E. Salvatore, Fazil Alıev, et al.. (2018). Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population‐Based and Clinically Ascertained Samples. Alcoholism Clinical and Experimental Research. 42(3). 520–530. 20 indexed citations
14.
Edwards, Alexis C., Silviu‐Alin Bacanu, Tim B. Bigdeli, Arden Moscati, & Kenneth S. Kendler. (2016). Evaluating the dopamine hypothesis of schizophrenia in a large-scale genome-wide association study. Schizophrenia Research. 176(2-3). 136–140. 30 indexed citations
15.
Mamdani, Mohammed, Vernell Williamson, Gowon O. McMichael, et al.. (2015). Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence. PLoS ONE. 10(9). e0137671–e0137671. 66 indexed citations
16.
Docherty, Anna R., Tim B. Bigdeli, Alexis C. Edwards, et al.. (2015). Genome-wide gene pathway analysis of psychotic illness symptom dimensions based on a new schizophrenia-specific model of the OPCRIT. Schizophrenia Research. 164(1-3). 181–186. 14 indexed citations
17.
Bigdeli, Tim B., Silviu‐Alin Bacanu, Bradley T. Webb, et al.. (2013). Molecular Validation of the Schizophrenia Spectrum. Schizophrenia Bulletin. 40(1). 60–65. 24 indexed citations
18.
Brown, Ruth C., Stephen K. Trapp, Erin C. Berenz, et al.. (2013). Pre-typhoon socioeconomic status factors predict post-typhoon psychiatric symptoms in a Vietnamese sample. Social Psychiatry and Psychiatric Epidemiology. 48(11). 1721–1727. 10 indexed citations
19.
Bigdeli, Tim B., Brion S. Maher, Zhongming Zhao, et al.. (2011). Comprehensive Gene-Based Association Study of a Chromosome 20 Linked Region Implicates Novel Risk Loci for Depressive Symptoms in Psychotic Illness. PLoS ONE. 6(12). e21440–e21440. 6 indexed citations
20.
Fanous, Ayman H., Zhongming Zhao, Edwin J.C.G. van den Oord, et al.. (2009). Association study of SNAP25 and schizophrenia in Irish family and case–control samples. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(2). 663–674. 18 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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