Phil H. Lee

17.7k total citations · 1 hit paper
28 papers, 1.5k citations indexed

About

Phil H. Lee is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Phil H. Lee has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 11 papers in Molecular Biology and 6 papers in Psychiatry and Mental health. Recurrent topics in Phil H. Lee's work include Genetic Associations and Epidemiology (15 papers), Epigenetics and DNA Methylation (4 papers) and Bioinformatics and Genomic Networks (3 papers). Phil H. Lee is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Epigenetics and DNA Methylation (4 papers) and Bioinformatics and Genomic Networks (3 papers). Phil H. Lee collaborates with scholars based in United States, United Kingdom and Sweden. Phil H. Lee's co-authors include Jordan W. Smoller, Nadia Solovieff, Chris Cotsapas, Joshua L. Roffman, Randy L. Buckner, Avram J. Holmes, Yen‐Chen Anne Feng, Marisa O. Hollinshead, Leah Bakst and Zhaozhong Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Phil H. Lee

26 papers receiving 1.4k 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.

Pleiotropy in complex traits: challenges and strategies

2013 687 citations Phil H. Lee, Jordan W. Smoller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phil H. Lee United States	15	770	436	178	152	124	28	1.5k
Shahram Bahrami Norway	21	567 0.7×	393 0.9×	157 0.9×	130 0.9×	74 0.6×	54	1.4k
Julien Bryois United States	17	735 1.0×	797 1.8×	186 1.0×	134 0.9×	162 1.3×	27	1.7k
Lanxin Ji United States	10	402 0.5×	317 0.7×	159 0.9×	142 0.9×	116 0.9×	22	1.3k
Sven Stringer Netherlands	12	1.0k 1.4×	655 1.5×	128 0.7×	167 1.1×	178 1.4×	20	2.0k
Yunpeng Wang Norway	27	723 0.9×	611 1.4×	318 1.8×	160 1.1×	151 1.2×	105	2.1k
David M. Howard United Kingdom	19	638 0.8×	506 1.2×	148 0.8×	159 1.0×	218 1.8×	51	1.7k
Jubao Duan United States	22	682 0.9×	1.2k 2.7×	216 1.2×	174 1.1×	113 0.9×	72	2.2k
Andrew J. Schork United States	26	1.4k 1.8×	779 1.8×	259 1.5×	164 1.1×	204 1.6×	76	2.6k
Johannes Schumacher Germany	23	646 0.8×	547 1.3×	184 1.0×	57 0.4×	89 0.7×	83	1.9k
Lynsey S. Hall United Kingdom	18	444 0.6×	286 0.7×	149 0.8×	83 0.5×	110 0.9×	27	1.1k

Countries citing papers authored by Phil H. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Phil H. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil H. Lee. 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 Phil H. Lee. The network helps show where Phil H. Lee may publish in the future.

Co-authorship network of co-authors of Phil H. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Phil H. Lee. A scholar is included among the top collaborators of Phil H. Lee 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 Phil H. Lee. Phil H. Lee 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

Zhi, Dongmei, Erin C. Dunn, Phil H. Lee, et al.. (2026). Prenatal Adversities and Risk of Persistent Youth Psychopathology and Altered Cortical Thinning. JAMA Psychiatry. 83(3). 269–269.

Lee, Phil H., Kirk I. Erickson, Chaeryon Kang, et al.. (2026). Brain Glutathione Levels Associate With Cognitive Performance in Older Adults. Journal of Neurochemistry. 170(1). e70343–e70343.

Lee, Phil H., Brenden Tervo‐Clemmens, Richard T. Liu, et al.. (2024). Use of Tobacco Products and Suicide Attempts Among Elementary School–Aged Children. JAMA Network Open. 7(2). e240376–e240376. 5 indexed citations

Gilman, Jodi M., Brenden Tervo‐Clemmens, Kevin Potter, et al.. (2024). Associations between behavioral and self-reported impulsivity, brain structure, and genetic influences in middle childhood. Developmental Cognitive Neuroscience. 67. 101389–101389. 1 indexed citations

Kunitoki, Keiko, Kevin Dowling, Alysa E. Doyle, et al.. (2023). Genetic patterning for child psychopathology is distinct from that for adults and implicates fetal cerebellar development. Nature Neuroscience. 26(6). 959–969. 18 indexed citations

Kunitoki, Keiko, Hamdi Eryilmaz, Erin C. Dunn, et al.. (2023). Youth Team Sports Participation Associates With Reduced Dimensional Psychopathology Through Interaction With Biological Risk Factors. Biological Psychiatry Global Open Science. 3(4). 875–883. 9 indexed citations

Gu, Tian, Phil H. Lee, & Rui Duan. (2022). COMMUTE: Communication-efficient transfer learning for multi-site risk prediction. Journal of Biomedical Informatics. 137. 104243–104243. 11 indexed citations

Lee, Phil H., et al.. (2021). Pathway analysis for genome-wide genetic variation data: Analytic principles, latest developments, and new opportunities. Journal of genetics and genomics. 48(3). 173–183. 7 indexed citations

Lee, Phil H., Alysa E. Doyle, Xuyang Li, et al.. (2021). Genetic Association of Attention-Deficit/Hyperactivity Disorder and Major Depression With Suicidal Ideation and Attempts in Children: The Adolescent Brain Cognitive Development Study. Biological Psychiatry. 92(3). 236–245. 16 indexed citations

10.

Jung, Jae-Yoon, et al.. (2021). Cross-Disorder Genomics Data Analysis Elucidates a Shared Genetic Basis Between Major Depression and Osteoarthritis Pain. Frontiers in Genetics. 12. 687687–687687. 11 indexed citations

11.

Cabana‐Domínguez, Judit, et al.. (2021). Identification of genetic variants influencing methylation in brain with pleiotropic effects on psychiatric disorders. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 113. 110454–110454. 14 indexed citations

12.

Zhu, Zhaozhong, Verneri Anttila, Jordan W. Smoller, & Phil H. Lee. (2018). Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies. PLoS ONE. 13(3). e0193256–e0193256. 25 indexed citations

13.

Lee, Phil H., et al.. (2017). Principles and methods of in-silico prioritization of non-coding regulatory variants. Human Genetics. 137(1). 15–30. 29 indexed citations

14.

Ge, Tian, Anderson M. Winkler, Avram J. Holmes, et al.. (2016). Multidimensional heritability analysis of neuroanatomical shape. Nature Communications. 7(1). 13291–13291. 1 indexed citations

15.

Choi, Jin‐Ho, Ravikumar Balasubramanian, Phil H. Lee, et al.. (2015). Expanding the Spectrum of Founder Mutations Causing Isolated Gonadotropin-Releasing Hormone Deficiency. The Journal of Clinical Endocrinology & Metabolism. 100(10). E1378–E1385. 18 indexed citations

16.

Bergen, Sarah E., Colm O’Dushlaine, Phil H. Lee, et al.. (2014). Genetic modifiers and subtypes in schizophrenia: Investigations of age at onset, severity, sex and family history. Schizophrenia Research. 154(1-3). 48–53. 49 indexed citations

17.

Duncan, Laramie E., Peter Holmans, Phil H. Lee, et al.. (2014). Pathway Analyses Implicate Glial Cells in Schizophrenia. PLoS ONE. 9(2). e89441–e89441. 40 indexed citations

18.

McGrath, Lauren M., Marilyn C. Cornelis, Phil H. Lee, et al.. (2013). Genetic predictors of risk and resilience in psychiatric disorders: A cross‐disorder genome‐wide association study of functional impairment in major depressive disorder, bipolar disorder, and schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(8). 779–788. 34 indexed citations

19.

SanGiovanni, John Paul & Phil H. Lee. (2013). AMD-Associated Genes Encoding Stress-Activated MAPK Pathway Constituents Are Identified by Interval-Based Enrichment Analysis. PLoS ONE. 8(8). e71239–e71239. 20 indexed citations

20.

Holmes, Avram J., Phil H. Lee, Marisa O. Hollinshead, et al.. (2012). Individual Differences in Amygdala-Medial Prefrontal Anatomy Link Negative Affect, Impaired Social Functioning, and Polygenic Depression Risk. Journal of Neuroscience. 32(50). 18087–18100. 173 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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