Dongbing Lai

7.3k total citations
76 papers, 1.6k citations indexed

About

Dongbing Lai is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Dongbing Lai has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 27 papers in Molecular Biology and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Dongbing Lai's work include Genetic Associations and Epidemiology (20 papers), Bone health and osteoporosis research (13 papers) and Alcohol Consumption and Health Effects (12 papers). Dongbing Lai is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Bone health and osteoporosis research (13 papers) and Alcohol Consumption and Health Effects (12 papers). Dongbing Lai collaborates with scholars based in United States, United Kingdom and China. Dongbing Lai's co-authors include Tatiana Foroud, Daniel L. Koller, Michael J. Econs, Adrian LeBlanc, T. B. Driscoll, Scott M. Smith, Elisabeth R. Spector, Howard J. Edenberg, Shoji Ichikawa and Nahid Rianon and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dongbing Lai

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongbing Lai United States 20 580 428 374 268 226 76 1.6k
Karol Estrada United States 17 803 1.4× 359 0.8× 525 1.4× 370 1.4× 285 1.3× 31 1.7k
María Morán Spain 24 777 1.3× 392 0.9× 205 0.5× 485 1.8× 43 0.2× 70 1.9k
A. G. H. Smals Netherlands 38 685 1.2× 569 1.3× 381 1.0× 319 1.2× 448 2.0× 156 4.1k
Ariel L. Barkan United States 46 791 1.4× 513 1.2× 155 0.4× 947 3.5× 148 0.7× 170 7.2k
G. Faglia Italy 45 716 1.2× 397 0.9× 98 0.3× 402 1.5× 197 0.9× 197 5.5k
Alessandra Chesi United States 24 976 1.7× 414 1.0× 214 0.6× 392 1.5× 59 0.3× 54 2.2k
Niels Sörensen Germany 28 465 0.8× 261 0.6× 73 0.2× 325 1.2× 165 0.7× 46 2.4k
Sara L. Pulit Netherlands 16 641 1.1× 703 1.6× 50 0.1× 211 0.8× 102 0.5× 28 1.9k
Noriyuki Fuku Japan 32 1.2k 2.0× 1.2k 2.8× 680 1.8× 560 2.1× 71 0.3× 112 2.9k
Eric Rullman Sweden 25 637 1.1× 137 0.3× 137 0.4× 563 2.1× 131 0.6× 65 1.6k

Countries citing papers authored by Dongbing Lai

Since Specialization
Citations

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

Fields of papers citing papers by Dongbing Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongbing Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Dongbing Lai. A scholar is included among the top collaborators of Dongbing Lai 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 Dongbing Lai. Dongbing Lai 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.
Yun, Taedong, Jacqueline Baras Shreibati, Dongbing Lai, et al.. (2025). Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 112(7). 1562–1579.
2.
Lai, Dongbing, Michael Zhang, Tae‐Hwi Schwantes‐An, et al.. (2025). Genome-wide meta-analyses of cross substance use disorders in diverse populations. Molecular Psychiatry. 31(3). 1619–1633.
3.
Yun, Taedong, Zachary R. McCaw, Robert Luben, et al.. (2024). Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature Genetics. 56(8). 1604–1613. 13 indexed citations
4.
Schuckit, Marc A., Tom L. Smith, George P. Danko, et al.. (2023). Do personality characteristics predict future alcohol problems after considering current demography, substance use, and alcohol response?. Alcohol Clinical and Experimental Research. 47(6). 1179–1190. 2 indexed citations
5.
Alipanahi, Babak, Zachary R. McCaw, Tae‐Hwi Schwantes‐An, et al.. (2023). Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Nature Genetics. 55(5). 787–795. 25 indexed citations
6.
Reiter, Jill L., Andy Chen, Steven Chen, et al.. (2023). RNA alternative splicing impacts the risk for alcohol use disorder. Molecular Psychiatry. 28(7). 2922–2933. 4 indexed citations
7.
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
8.
Colbert, Sarah M. C., Niamh Mullins, Grace Chan, et al.. (2023). Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders. PubMed. 9(1-4). 11–23. 3 indexed citations
9.
Viteri, Stacey Saenz de, Jian Zhang, Emma C. Johnson, et al.. (2023). Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders. Molecular Psychiatry. 28(8). 3391–3396. 6 indexed citations
10.
Su, Jinni, Sally I‐Chun Kuo, Peter B. Barr, et al.. (2022). Examining social genetic effects on educational attainment via parental educational attainment, income, and parenting.. Journal of Family Psychology. 36(8). 1340–1350. 6 indexed citations
11.
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
12.
Thomas, Nathaniel, Sally I‐Chun Kuo, Fazil Alıev, et al.. (2022). Alcohol use disorder, psychiatric comorbidities, marriage and divorce in a high-risk sample.. Psychology of Addictive Behaviors. 36(4). 364–374. 9 indexed citations
13.
Huggett, Spencer B., Emma C. Johnson, Alexander S. Hatoum, et al.. (2021). Genes identified in rodent studies of alcohol intake are enriched for heritability of human substance use. Alcoholism Clinical and Experimental Research. 45(12). 2485–2494. 4 indexed citations
14.
Chen, Andy, Dongbing Lai, Xiaoling Xuei, et al.. (2020). Identification of Functional Genetic Variants Associated With Alcohol Dependence and Related Phenotypes Using a High‐Throughput Assay. Alcoholism Clinical and Experimental Research. 44(12). 2494–2518. 4 indexed citations
15.
Spence, John C. H., Dongbing Lai, Jill L. Reiter, et al.. (2020). Epigenetic changes on rat chromosome 4 contribute to disparate alcohol drinking behavior in alcohol-preferring and -nonpreferring rats. Alcohol. 89. 103–112. 2 indexed citations
16.
Johnson, Emma C., Celine L. St. Pierre, Jacquelyn L. Meyers, et al.. (2019). The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcoholism Clinical and Experimental Research. 43(6). 1113–1125. 10 indexed citations
17.
Cheng, Zhongshan, Chureerat Phokaew, Dongbing Lai, et al.. (2019). A regulatory variant of CHRM3 is associated with cannabis-induced hallucinations in European Americans. Translational Psychiatry. 9(1). 309–309. 4 indexed citations
18.
Zhou, Sirui, Ziv Gan‐Or, Amirthagowri Ambalavanan, et al.. (2018). Genome-wide association analysis identifies new candidate risk loci for familial intracranial aneurysm in the French-Canadian population. Scientific Reports. 8(1). 4356–4356. 10 indexed citations
19.
Edwards, Alexis C., Joseph D. Deak, Ian R. Gizer, et al.. (2018). Meta‐Analysis of Genetic Influences on Initial Alcohol Sensitivity. Alcoholism Clinical and Experimental Research. 42(12). 2349–2359. 19 indexed citations
20.
Schneider, Bryan P., Fei Shen, Laura Gardner, et al.. (2016). Genome-Wide Association Study for Anthracycline-Induced Congestive Heart Failure. Clinical Cancer Research. 23(1). 43–51. 66 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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