Lauren E. Petty

6.3k total citations
27 papers, 342 citations indexed

About

Lauren E. Petty is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Lauren E. Petty has authored 27 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in Lauren E. Petty's work include Genetic Associations and Epidemiology (8 papers), Stuttering Research and Treatment (4 papers) and Bioinformatics and Genomic Networks (4 papers). Lauren E. Petty is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Stuttering Research and Treatment (4 papers) and Bioinformatics and Genomic Networks (4 papers). Lauren E. Petty collaborates with scholars based in United States, Australia and United Kingdom. Lauren E. Petty's co-authors include Jennifer E. Below, Hung‐Hsin Chen, Douglas M. Shaw, Susan P. Fisher‐Hoch, Dillon G. Pruett, Shelly Jo Kraft, Robin M. Jones, Ernest T. Hawk, Hannah G. Polikowsky and Eric Boerwinkle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Lauren E. Petty

24 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren E. Petty United States 13 168 79 42 41 37 27 342
Siqi Hong China 14 199 1.2× 59 0.7× 20 0.5× 41 1.0× 27 0.7× 62 560
Loretta Thomaidis Greece 14 128 0.8× 205 2.6× 47 1.1× 14 0.3× 16 0.4× 40 452
Cristiane S. Rocha Brazil 14 203 1.2× 88 1.1× 6 0.1× 40 1.0× 17 0.5× 29 441
Yumi Suzuki Japan 11 176 1.0× 47 0.6× 15 0.4× 58 1.4× 75 2.0× 46 437
Maryann P. Platt United States 10 116 0.7× 31 0.4× 69 1.6× 8 0.2× 84 2.3× 14 400
Yi–Hui Lin Taiwan 13 159 0.9× 35 0.4× 10 0.2× 16 0.4× 53 1.4× 17 465
Doğa Türkkahraman Türkiye 12 133 0.8× 104 1.3× 12 0.3× 30 0.7× 55 1.5× 33 381
Jessica L. Klein United States 9 197 1.2× 47 0.6× 19 0.5× 20 0.5× 20 0.5× 14 321
Lanqi Wang China 10 76 0.5× 39 0.5× 20 0.5× 26 0.6× 24 0.6× 27 380
Yukiko Matsumoto Japan 13 126 0.8× 34 0.4× 32 0.8× 6 0.1× 10 0.3× 37 419

Countries citing papers authored by Lauren E. Petty

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. Petty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. Petty. 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 Lauren E. Petty. The network helps show where Lauren E. Petty may publish in the future.

Co-authorship network of co-authors of Lauren E. Petty

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren E. Petty. A scholar is included among the top collaborators of Lauren E. Petty 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 Lauren E. Petty. Lauren E. Petty 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.
Pruett, Dillon G., Hannah G. Polikowsky, Heather M. Highland, et al.. (2025). Challenges and Opportunities in Characterizing the Genetics of Stuttering: From Sample Acquisition to Functional Interpretation of the Genome. Journal of Speech Language and Hearing Research. 68(11). 5137–5157.
2.
Lindley, Kathryn J., Andrew Perry, Marni Jacobs, et al.. (2024). Differences in Cardiometabolic Proteins in Pregnancy Prioritize Relevant Targets of Preeclampsia. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 969–975. 1 indexed citations
3.
Petty, Lauren E., Renato Silva, Letícia Chaves de Souza, et al.. (2023). Genome-wide Association Study Identifies Novel Risk Loci for Apical Periodontitis. Journal of Endodontics. 49(10). 1276–1288. 10 indexed citations
4.
Gustavson, Daniel E., Lauren E. Petty, Miriam A. Mosing, et al.. (2023). Exploring the genetics of rhythmic perception and musical engagement in the Vanderbilt Online Musicality Study. Annals of the New York Academy of Sciences. 1521(1). 140–154. 12 indexed citations
5.
Kwan, Suet‐Ying, Aron Y. Joon, Peng Wei, et al.. (2022). Gut Microbiome Alterations Associated with Diabetes in Mexican Americans in South Texas. mSystems. 7(3). e0003322–e0003322. 25 indexed citations
6.
Kwan, Suet‐Ying, Lauren E. Petty, Jennifer E. Below, et al.. (2022). Genetic variants associated with circulating liver injury markers in Mexican Americans, a population at risk for non-alcoholic fatty liver disease. Frontiers in Genetics. 13. 995488–995488. 4 indexed citations
7.
Yu, Yao, Lauren E. Petty, Ryan J. Bohlender, et al.. (2022). Polygenic risk impactsPDGFRAmutation penetrance in non-syndromic cleft lip and palate. Human Molecular Genetics. 31(14). 2348–2357. 6 indexed citations
8.
Zhu, Wanying, Hung‐Hsin Chen, Lauren E. Petty, et al.. (2022). IMMerge: merging imputation data at scale. Bioinformatics. 39(1). 1 indexed citations
9.
Kwan, Suet‐Ying, Jingjing Jiao, Aron Y. Joon, et al.. (2021). Gut microbiome features associated with liver fibrosis in Hispanics, a population at high risk for fatty liver disease. Hepatology. 75(4). 955–967. 39 indexed citations
10.
Shaw, Douglas M., Dillon G. Pruett, Hung‐Hsin Chen, et al.. (2021). Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering. The American Journal of Human Genetics. 108(12). 2271–2283. 19 indexed citations
11.
Pruett, Dillon G., Douglas M. Shaw, Hung‐Hsin Chen, et al.. (2021). Identifying developmental stuttering and associated comorbidities in electronic health records and creating a phenome risk classifier. Journal of Fluency Disorders. 68. 105847–105847. 21 indexed citations
12.
Chen, Hung‐Hsin, Lauren E. Petty, Jin Sha, et al.. (2021). Genetically regulated expression in late-onset Alzheimer’s disease implicates risk genes within known and novel loci. Translational Psychiatry. 11(1). 618–618. 19 indexed citations
13.
Chen, Hung‐Hsin, Douglas M. Shaw, Lauren E. Petty, et al.. (2020). Host genetic effects in pneumonia. The American Journal of Human Genetics. 108(1). 194–201. 14 indexed citations
15.
Chen, Hung‐Hsin, Lauren E. Petty, William S. Bush, Adam C. Naj, & Jennifer E. Below. (2019). GWAS and Beyond: Using Omics Approaches to Interpret SNP Associations. PubMed. 7(1). 30–40. 2 indexed citations
16.
Du, Renqian, Xiaofei Song, Zeynep Coban‐Akdemir, et al.. (2018). Identification of likely pathogenic and known variants in TSPEAR, LAMB3, BCOR, and WNT10A in four Turkish families with tooth agenesis. Human Genetics. 137(9). 689–703. 17 indexed citations
19.
Du, Renqian, Lauren E. Petty, Zeynep Coban‐Akdemir, et al.. (2017). Whole-Exome Sequencing Identifies Novel Variants for Tooth Agenesis. Journal of Dental Research. 97(1). 49–59. 48 indexed citations
20.
Petty, Lauren E., Beatriz Quintáns, Zuleima Yáñez, et al.. (2017). Prevalence of spinocerebellar ataxia 36 in a US population. Neurology Genetics. 3(4). e174–e174. 15 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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