Andrew Crenshaw

17.5k total citations
12 papers, 664 citations indexed

About

Andrew Crenshaw is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Andrew Crenshaw has authored 12 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Andrew Crenshaw's work include Genetic Associations and Epidemiology (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Andrew Crenshaw is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Andrew Crenshaw collaborates with scholars based in United States, Italy and Brazil. Andrew Crenshaw's co-authors include Meredith Yeager, Stephen J. Chanock, Richard B. Hayes, Ramesh Ramakrishnan, Daniel B. Mirel, Robert C. Jones, Jun Wang, Amy Hutchinson, Min Lin and Belynda Hicks and has published in prestigious journals such as Bioinformatics, Gastroenterology and PLoS ONE.

In The Last Decade

Andrew Crenshaw

12 papers receiving 658 citations

Peers

Andrew Crenshaw
Andrew Crenshaw
Citations per year, relative to Andrew Crenshaw Andrew Crenshaw (= 1×) peers Qinghua Liu

Countries citing papers authored by Andrew Crenshaw

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Crenshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Crenshaw

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

All Works

12 of 12 papers shown
1.
Goto, Atsushi, Brian H. Chen, Kei Hang Katie Chan, et al.. (2018). Genetic variants in sex hormone pathways and the risk of type 2 diabetes among African American, Hispanic American, and European American postmenopausal women in the US. Journal of Diabetes. 10(6). 524–533. 3 indexed citations
2.
Eriksson, Joel, Daniel S. Evans, Carrie M. Nielson, et al.. (2014). Limited Clinical Utility of a Genetic Risk Score for the Prediction of Fracture Risk in Elderly Subjects. Journal of Bone and Mineral Research. 30(1). 184–194. 36 indexed citations
3.
Hoshida, Yujin, Augusto Villanueva, Angelo Sangiovanni, et al.. (2013). Prognostic Gene Expression Signature for Patients With Hepatitis C–Related Early-Stage Cirrhosis. Gastroenterology. 144(5). 1024–1030. 158 indexed citations
4.
Tarazona‐Santos, Eduardo, Moara Machado, Wagner C. S. Magalhães, et al.. (2013). Evolutionary Dynamics of the Human NADPH Oxidase Genes CYBB, CYBA, NCF2, and NCF4: Functional Implications. Molecular Biology and Evolution. 30(9). 2157–2167. 24 indexed citations
5.
Hoshida, Yujin, Angelo Sangiovanni, M Solé, et al.. (2012). 716 PROGNOSTIC GENE-EXPRESSION SIGNATURE FOR HEPATITIS C-RELATED EARLY-STAGE LIVER CIRRHOSIS. Journal of Hepatology. 56. S283–S283. 1 indexed citations
6.
Goldstein, Jacqueline I., Andrew Crenshaw, Jason Carey, et al.. (2012). zCall: a rare variant caller for array-based genotyping. Bioinformatics. 28(19). 2543–2545. 100 indexed citations
7.
Wiggs, Janey L., Jae H. Kang, Brian L. Yaspan, et al.. (2011). Common variants near CAV1 and CAV2 are associated with primary open-angle glaucoma in Caucasians from the USA. Human Molecular Genetics. 20(23). 4707–4713. 121 indexed citations
8.
Tarazona‐Santos, Eduardo, Cristina Fabbri, Meredith Yeager, et al.. (2010). Diversity in the Glucose Transporter-4 Gene (SLC2A4) in Humans Reflects the Action of Natural Selection along the Old-World Primates Evolution. PLoS ONE. 5(3). e9827–e9827. 8 indexed citations
9.
Loomis, Stephanie, Lana M. Olson, Louis R. Pasquale, et al.. (2010). Feasibility of High-Throughput Genome-Wide Genotyping using DNA from Stored Buccal Cell Samples. Biomarker Insights. 5. BMI.S5062–BMI.S5062. 5 indexed citations
10.
Wang, Jun, Min Lin, Andrew Crenshaw, et al.. (2009). High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays. BMC Genomics. 10(1). 561–561. 127 indexed citations
11.
Cook, Michael B., Barry I. Graubard, Sabah M. Quraishi, et al.. (2008). Genetic variants in the 8q24 locus and risk of testicular germ cell tumors. Human Genetics. 123(4). 409–418. 7 indexed citations
12.
Yeager, Meredith, Nianqing Xiao, Richard B. Hayes, et al.. (2008). Comprehensive resequence analysis of a 136 kb region of human chromosome 8q24 associated with prostate and colon cancers. Human Genetics. 124(2). 161–170. 74 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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