Cecilia Dao

936 total citations · 1 hit paper
13 papers, 447 citations indexed

About

Cecilia Dao is a scholar working on Genetics, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Cecilia Dao has authored 13 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Epidemiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Cecilia Dao's work include Genetic Associations and Epidemiology (6 papers), Substance Abuse Treatment and Outcomes (4 papers) and Alcohol Consumption and Health Effects (4 papers). Cecilia Dao is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Substance Abuse Treatment and Outcomes (4 papers) and Alcohol Consumption and Health Effects (4 papers). Cecilia Dao collaborates with scholars based in United States and United Kingdom. Cecilia Dao's co-authors include Parth Patel, Hashem B. El‐Serag, Fasiha Kanwal, Amy Sisson, Rubén Hernáez, Aaron P. Thrift, Maya Balakrishnan, Yan Liu, Amy C. Justice and Rachel L. Kember and has published in prestigious journals such as Nature Communications, American Journal of Psychiatry and Neuropsychopharmacology.

In The Last Decade

Cecilia Dao

11 papers receiving 440 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.

Women Have a Lower Risk of Nonalcoholic Fatty Liver Disease but a Higher Risk of Progression vs Men: A Systematic Review and Meta-analysis

2020 229 citations Maya Balakrishnan, Parth Patel et al. Clinical Gastroenterology and Hepatology profile →

Peers

Cecilia Dao

EPIDE

PFM

GENET

EDM

HEPAT

Teruhisa Ueda Japan

Amy Johnson United Kingdom

Héctor Alfredo Baptista González Mexico

Johanna Hietala Finland

Carola Buscemi Italy

Rita S. Patarrão Portugal

D. Harry United Kingdom

Kei Mizuno Japan

Silvia Leone Italy

Dora H. Lin United States

Teruhisa Ueda Japan

Cecilia Dao

201 ×0.7

EPIDE

41 ×0.4

PFM

32 ×0.3

GENET

200 ×2.1

EDM

62 ×0.7

HEPAT

Citations per year, relative to Cecilia Dao Cecilia Dao (= 1×) peers Teruhisa Ueda

Countries citing papers authored by Cecilia Dao

Since Specialization

Citations

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

Fields of papers citing papers by Cecilia Dao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cecilia Dao. 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 Cecilia Dao. The network helps show where Cecilia Dao may publish in the future.

Co-authorship network of co-authors of Cecilia Dao

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Galimberti, Marco, Priya Gupta, Cecilia Dao, et al.. (2025). The genetics of cannabis lifetime use. Neuropsychopharmacology. 51(3). 554–564.

2.

Galimberti, Marco, Cassie Overstreet, Priya Gupta, et al.. (2025). The genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders. Nature Mental Health. 3(6). 700–708.

3.

Dao, Cecilia, Hang Zhou, Boyang Li, et al.. (2023). Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry. 13(1). 148–148. 4 indexed citations

4.

Kember, Rachel L., Hang Zhou, Heng Xu, et al.. (2023). Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample. American Journal of Psychiatry. 180(8). 584–593. 14 indexed citations

5.

Dao, Cecilia, Jiming Jiang, Debashis Paul, & Hongyu Zhao. (2022). Variance estimation and confidence intervals from genome-wide association studies through high-dimensional misspecified mixed model analysis. Journal of Statistical Planning and Inference. 220. 15–23. 4 indexed citations

6.

Dao, Cecilia, Hang Zhou, Aeron Small, et al.. (2021). The impact of removing former drinkers from genome‐wide association studies of AUDIT‐C. Addiction. 116(11). 3044–3054. 12 indexed citations

7.

Xu, Ke, Boyang Li, Kathleen A. McGinnis, et al.. (2020). Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications. 11(1). 5302–5302. 60 indexed citations

8.

Balakrishnan, Maya, Parth Patel, Cecilia Dao, et al.. (2020). Women Have a Lower Risk of Nonalcoholic Fatty Liver Disease but a Higher Risk of Progression vs Men: A Systematic Review and Meta-analysis. Clinical Gastroenterology and Hepatology. 19(1). 61–71.e15. 229 indexed citations breakdown →

9.

Zhou, Hang, Christopher T. Rentsch, Zhongshan Cheng, et al.. (2020). Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry. 77(10). 1072–1072. 99 indexed citations

10.

Gordon, Kirsha S., Kathleen A. McGinnis, Cecilia Dao, et al.. (2019). Differentiating Types of Self-Reported Alcohol Abstinence. AIDS and Behavior. 24(2). 655–665. 13 indexed citations

11.

Zhou, Hang, Christopher T. Rentsch, Zhongshan Cheng, et al.. (2019). FUNCTIONAL CODING VARIANT IN OPRM1 GENE ASSOCIATED WITH OPIOID USE DISORDER: EVIDENCE FROM GWAS ON LARGE COHORTS. European Neuropsychopharmacology. 29. S34–S35. 1 indexed citations

12.

Dao, Cecilia, Xinyu Liu, Alex Sim, C. E. Tull, & Kesheng Wu. (2018). Modeling Data Transfers: Change Point and Anomaly Detection. 9212. 1589–1594. 6 indexed citations

13.

Dao, Cecilia & Jiming Jiang. (2016). A modified Pearson’s $\chi^2$ test with application to generalized linear mixed model diagnostics. 1(1). 195–215. 5 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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