Sarah A. Pendergrass

15.7k total citations · 1 hit paper
81 papers, 3.4k citations indexed

About

Sarah A. Pendergrass is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Sarah A. Pendergrass has authored 81 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 37 papers in Molecular Biology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Sarah A. Pendergrass's work include Genetic Associations and Epidemiology (39 papers), Bioinformatics and Genomic Networks (20 papers) and Gene expression and cancer classification (12 papers). Sarah A. Pendergrass is often cited by papers focused on Genetic Associations and Epidemiology (39 papers), Bioinformatics and Genomic Networks (20 papers) and Gene expression and cancer classification (12 papers). Sarah A. Pendergrass collaborates with scholars based in United States, United Kingdom and Germany. Sarah A. Pendergrass's co-authors include Marylyn D. Ritchie, Emily Holzinger, Dokyoon Kim, Ruowang Li, Michael L. Whitfield, Dana C. Crawford, Scott Dudek, Robert Lafyatis, Ausra Milano and Jennifer L. Sargent and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Sarah A. Pendergrass

80 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Methods of integrating data to uncover genotype–phenotype interactions

2015 672 citations Marylyn D. Ritchie, Emily Holzinger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah A. Pendergrass United States	33	1.5k	977	619	336	303	81	3.4k
Lisa Bailey United States	25	1.5k 1.0×	1.4k 1.4×	708 1.1×	328 1.0×	180 0.6×	61	3.9k
Jiang Gui United States	35	1.1k 0.8×	459 0.5×	240 0.4×	366 1.1×	329 1.1×	156	3.8k
Albert M. Levin United States	30	2.8k 1.9×	1.1k 1.1×	456 0.7×	1.1k 3.3×	353 1.2×	116	5.8k
Ya‐Wen Yang Taiwan	24	975 0.7×	822 0.8×	248 0.4×	359 1.1×	548 1.8×	81	3.1k
Bing Feng United States	26	905 0.6×	778 0.8×	298 0.5×	124 0.4×	131 0.4×	126	2.9k
Anselm Kampik Germany	57	2.7k 1.8×	353 0.4×	187 0.3×	273 0.8×	613 2.0×	452	15.1k
Lee M. Jampol United States	65	1.7k 1.2×	311 0.3×	476 0.8×	636 1.9×	852 2.8×	370	15.0k
Simon Lin United States	27	3.3k 2.2×	698 0.7×	203 0.3×	328 1.0×	258 0.9×	72	5.4k
Avi Z. Rosenberg United States	37	2.4k 1.6×	310 0.3×	302 0.5×	414 1.2×	761 2.5×	163	5.8k
Xia Liu China	37	2.3k 1.6×	330 0.3×	348 0.6×	533 1.6×	469 1.5×	180	5.0k

Countries citing papers authored by Sarah A. Pendergrass

Since Specialization

Citations

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

Fields of papers citing papers by Sarah A. Pendergrass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah A. Pendergrass. 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 Sarah A. Pendergrass. The network helps show where Sarah A. Pendergrass may publish in the future.

Co-authorship network of co-authors of Sarah A. Pendergrass

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah A. Pendergrass. A scholar is included among the top collaborators of Sarah A. Pendergrass 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 Sarah A. Pendergrass. Sarah A. Pendergrass 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:

20 of 20 papers shown

Hellwege, Jacklyn N., Yanfei Zhang, Eric S. Torstenson, et al.. (2022). Uterine fibroid polygenic risk score (PRS) associates and predicts risk for uterine fibroid. Human Genetics. 141(11). 1739–1748. 8 indexed citations

Pendergrass, Sarah A.. (2020). Determining Optimal Nutrient Value through Leaf Tissue Analysis on Tomato. 4. 1 indexed citations

Zhang, Yanfei, S. Mark Poler, Jiang Li, et al.. (2019). Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. BMC Medicine. 17(1). 168–168. 9 indexed citations

Beaulieu‐Jones, Brett K., et al.. (2018). Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis. JMIR Medical Informatics. 6(1). e11–e11. 104 indexed citations

Verma, Anurag, Yuki Bradford, Shefali S. Verma, et al.. (2017). Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202. Pharmacogenetics and Genomics. 27(3). 101–111. 8 indexed citations

Bauer, Christopher R., Daniel R. Lavage, John F. Snyder, et al.. (2016). OPENING THE DOOR TO THE LARGE SCALE USE OF CLINICAL LAB MEASURES FOR ASSOCIATION TESTING: EXPLORING DIFFERENT METHODS FOR DEFINING PHENOTYPES. PubMed. 22. 356–367. 4 indexed citations

Ciesielski, Timothy H., Sarah A. Pendergrass, Marquitta J. White, et al.. (2014). Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Mining. 7(1). 10–10. 19 indexed citations

McGeachie, Michael J., Eli A. Stahl, Blanca E. Himes, et al.. (2013). Polygenic heritability estimates in pharmacogenetics. Pharmacogenetics and Genomics. 23(6). 324–328. 32 indexed citations

Pendergrass, Sarah A., Swati Verma, Emily Holzinger, et al.. (2013). Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the PhenX toolkit. Europe PMC (PubMed Central). 147–158. 8 indexed citations

10.

Pendergrass, Sarah A., Raphaël Lemaire, Ian Francis, et al.. (2012). Intrinsic Gene Expression Subsets of Diffuse Cutaneous Systemic Sclerosis Are Stable in Serial Skin Biopsies. Journal of Investigative Dermatology. 132(5). 1363–1373. 120 indexed citations

11.

Bush, William S., J.R. Boston, Sarah A. Pendergrass, et al.. (2012). ENABLING HIGH-THROUGHPUT GENOTYPE-PHENOTYPE ASSOCIATIONS IN THE EPIDEMIOLOGIC ARCHITECTURE FOR GENES LINKED TO ENVIRONMENT (EAGLE) PROJECT AS PART OF THE POPULATION ARCHITECTURE USING GENOMICS AND EPIDEMIOLOGY (PAGE) STUDY. PubMed. 373–384. 7 indexed citations

12.

Avery, Christy L., Qianchuan He, Kari E. North, et al.. (2011). A Phenomics-Based Strategy Identifies Loci on APOC1, BRAP, and PLCG1 Associated with Metabolic Syndrome Phenotype Domains. PLoS Genetics. 7(10). e1002322–e1002322. 77 indexed citations

13.

Pendergrass, Sarah A., Giuseppina Farina, Raphaël Lemaire, et al.. (2010). Limited Systemic Sclerosis Patients with Pulmonary Arterial Hypertension Show Biomarkers of Inflammation and Vascular Injury. PLoS ONE. 5(8). e12106–e12106. 120 indexed citations

14.

Lemaire, Raphaël, Giuseppina Farina, J Bayle, et al.. (2010). Antagonistic Effect of the Matricellular Signaling Protein CCN3 on TGF-β- and Wnt-Mediated Fibrillinogenesis in Systemic Sclerosis and Marfan Syndrome. Journal of Investigative Dermatology. 130(6). 1514–1523. 41 indexed citations

15.

Pendergrass, Sarah A., Scott Dudek, Dana C. Crawford, & Marylyn D. Ritchie. (2010). Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Mining. 3(1). 10–10. 32 indexed citations

16.

Pendergrass, Sarah A., Scott Dudek, Dan M. Roden, Dana C. Crawford, & Marylyn D. Ritchie. (2010). VISUAL INTEGRATION OF RESULTS FROM A LARGE DNA BIOBANK (BIOVU) USING SYNTHESIS-VIEW. WORLD SCIENTIFIC eBooks. 265–275. 9 indexed citations

17.

Townley-Tilson, W. H. Davin, Sarah A. Pendergrass, William F. Marzluff, & Michael L. Whitfield. (2006). Genome-wide analysis of mRNAs bound to the histone stem–loop binding protein. RNA. 12(10). 1853–1867. 61 indexed citations

18.

Meaney, Paul M., Qianqian Fang, Margaret W. Fanning, et al.. (2005). Microwave breast imaging with an under-determined reconstruction parameter mesh. 2. 1369–1372. 3 indexed citations

19.

Doyley, Marvin M., Seshadri Srinivasan, Sarah A. Pendergrass, Ziji Wu, & J. Ophir. (2005). Comparative evaluation of strain-based and model-based modulus elastography. Ultrasound in Medicine & Biology. 31(6). 787–802. 63 indexed citations

20.

Meaney, Paul M., Margaret W. Fanning, Keith D. Paulsen, et al.. (2003). Microwave thermal imaging: initial in vivo experience with a single heating zone. International Journal of Hyperthermia. 19(6). 617–641. 25 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.

Explore authors with similar magnitude of impact