Nancy L. Saccone

22.3k total citations
96 papers, 3.4k citations indexed

About

Nancy L. Saccone is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Nancy L. Saccone has authored 96 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 43 papers in Genetics and 34 papers in Physiology. Recurrent topics in Nancy L. Saccone's work include Genetic Associations and Epidemiology (35 papers), Smoking Behavior and Cessation (34 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). Nancy L. Saccone is often cited by papers focused on Genetic Associations and Epidemiology (35 papers), Smoking Behavior and Cessation (34 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). Nancy L. Saccone collaborates with scholars based in United States, United Kingdom and Canada. Nancy L. Saccone's co-authors include Laura J. Bierut, John P. Rice, Alison Goate, Eric O. Johnson, Scott F. Saccone, Naomi Breslau, Dorothy K. Hatsukami, Pui–Yan Kwok, Jen C. Wang and Richard A. Grucza and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Nancy L. Saccone

93 papers receiving 3.4k citations

Peers

Nancy L. Saccone

GENET

PHYSI

IMMUN

CMN

Norman Klopp Germany

Susan A. Berry United States

Albert Tenesa United Kingdom

Josep M. Mercader Spain

Harald H.H. Göring United States

Jen C. Wang United States

Mauricio Arcos‐Burgos Colombia

Marc C. Patterson United States

Andrea Riccardo Genazzani Italy

Matt J. Neville United Kingdom

Norman Klopp Germany

Nancy L. Saccone

2.1k ×1.6

804 ×0.8

GENET

1.1k ×1.2

PHYSI

940 ×2.0

IMMUN

284 ×0.7

CMN

Citations per year, relative to Nancy L. Saccone Nancy L. Saccone (= 1×) peers Norman Klopp

Countries citing papers authored by Nancy L. Saccone

Since Specialization

Citations

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

Fields of papers citing papers by Nancy L. Saccone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy L. Saccone. 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 Nancy L. Saccone. The network helps show where Nancy L. Saccone may publish in the future.

Co-authorship network of co-authors of Nancy L. Saccone

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy L. Saccone. A scholar is included among the top collaborators of Nancy L. Saccone 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 Nancy L. Saccone. Nancy L. Saccone 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

Yanik, Elizabeth L., Nancy L. Saccone, Alexander W. Aleem, et al.. (2023). Factors associated with genetic markers for rotator cuff disease in patients with atraumatic rotator cuff tears. Journal of Orthopaedic Research®. 42(5). 934–941. 2 indexed citations

Du, Alan Y., Xiaoyu Zhuo, Vasavi Sundaram, et al.. (2022). Functional characterization of enhancer activity during a long terminal repeat's evolution. Genome Research. 32(10). 1840–1851. 7 indexed citations

Yanik, Elizabeth L., Jay D. Keener, Shiow Jiuan Lin, et al.. (2021). Identification of a Novel Genetic Marker for Risk of Degenerative Rotator Cuff Disease Surgery in the UK Biobank. Journal of Bone and Joint Surgery. 103(14). 1259–1267. 9 indexed citations

Bray, Michael J., Li‐Shiun Chen, Louis Fox, et al.. (2020). Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme. Genetic Epidemiology. 44(7). 748–758. 5 indexed citations

Zhang, Juan, Li‐Shiun Chen, Robert Culverhouse, et al.. (2015). When Does Choice of Accuracy Measure Alter Imputation Accuracy Assessments?. PLoS ONE. 10(10). e0137601–e0137601. 27 indexed citations

Haller, Gabe, Manav Kapoor, John Budde, et al.. (2014). Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence. PMC. 1 indexed citations

Hartz, Sarah M., Emily Olfson, Robert Culverhouse, et al.. (2014). Return of individual genetic results in a high-risk sample: enthusiasm and positive behavioral change. Genetics in Medicine. 17(5). 374–379. 28 indexed citations

Bloom, A. Joseph, Sarah M. Hartz, Timothy B. Baker, et al.. (2014). Beyond Cigarettes Per Day. A Genome-Wide Association Study of the Biomarker Carbon Monoxide. Annals of the American Thoracic Society. 11(7). 1003–1010. 25 indexed citations

Chen, Li-Shiun, Timothy R. Baker, Megan E. Piper, et al.. (2012). Interplay of Genetic Risk Factors ( CHRNA5 - CHRNA3 - CHRNB4 ) and Cessation Treatments in Smoking Cessation Success. American Journal of Psychiatry. 169(7). 735–742. 97 indexed citations

10.

Culverhouse, Robert, Nancy L. Saccone, Jerry A. Stitzel, et al.. (2010). Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence. Human Genetics. 129(2). 177–188. 5 indexed citations

11.

Johnson, Eric O., Li‐Shiun Chen, Naomi Breslau, et al.. (2010). Peer smoking and the nicotinic receptor genes: an examination of genetic and environmental risks for nicotine dependence. Addiction. 105(11). 2014–2022. 43 indexed citations

12.

McEachin, Richard C., Nancy L. Saccone, Scott F. Saccone, et al.. (2010). Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder. BMC Medical Genetics. 11(1). 14–14. 21 indexed citations

13.

Saccone, Nancy L., Jen C. Wang, Naomi Breslau, et al.. (2009). The CHRNA5-CHRNA3-CHRNB4 Nicotinic Receptor Subunit Gene Cluster Affects Risk for Nicotine Dependence in African-Americans and in European-Americans. Cancer Research. 69(17). 6848–6856. 202 indexed citations

14.

Ehringer, Marissa A., Matthew B. McQueen, Nicole R. Hoft, et al.. (2009). Association of CHRN genes with “dizziness” to tobacco. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(2). 600–609. 33 indexed citations

15.

Ramoni, Rachel, Nancy L. Saccone, Dorothy K. Hatsukami, Laura J. Bierut, & Marco Ramoni. (2009). A Testable Prognostic Model of Nicotine Dependence. Journal of Neurogenetics. 23(3). 283–292. 12 indexed citations

16.

Saccone, Nancy L., Scott F. Saccone, Anthony L. Hinrichs, et al.. (2009). Multiple distinct risk loci for nicotine dependence identified by dense coverage of the complete family of nicotinic receptor subunit (CHRN) genes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(4). 453–466. 162 indexed citations

17.

Saccone, Nancy L., Ellen L. Goode, & Andrew W. Bergen. (2003). Genetic analysis workshop 13: Summary of analyses of alcohol and cigarette use phenotypes in the Framingham Heart Study. Genetic Epidemiology. 25(S1). S90–S97. 5 indexed citations

18.

Yuan, Bo, Rosalind J. Neuman, Shenghui Duan, et al.. (2000). Linkage of a Gene for Familial Hypobetalipoproteinemia to Chromosome 3p21.1-22. The American Journal of Human Genetics. 66(5). 1699–1704. 50 indexed citations

19.

Rice, John P., et al.. (1999). Covariates in linkage analysis. Genetic Epidemiology. 17(S1). S691–5. 31 indexed citations

20.

Saccone, Nancy L., Thomas J. Downey, Donald J. Meyer, Rosalind J. Neuman, & John P. Rice. (1999). Mapping genotype to phenotype for linkage analysis. Genetic Epidemiology. 17(S1). S703–8. 13 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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