Erick R. Scott

1.8k total citations
21 papers, 710 citations indexed

About

Erick R. Scott is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Erick R. Scott has authored 21 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Erick R. Scott's work include Genomics and Rare Diseases (6 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genetic Associations and Epidemiology (2 papers). Erick R. Scott is often cited by papers focused on Genomics and Rare Diseases (6 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genetic Associations and Epidemiology (2 papers). Erick R. Scott collaborates with scholars based in United States, Australia and Austria. Erick R. Scott's co-authors include Stuart A. Scott, Yao Yang, Mariana Rodrigues Botton, Ali Torkamani, Eric E. Schadt, Nathan E. Wineinger, Steven G. Hershman, Pei Wang, Nicole Tignor and Galina Erikson and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Erick R. Scott

21 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erick R. Scott United States 13 186 140 109 108 102 21 710
Marquitta J. White United States 16 175 0.9× 210 1.5× 241 2.2× 126 1.2× 59 0.6× 29 985
Jennifer Gill United States 17 173 0.9× 161 1.1× 102 0.9× 73 0.7× 33 0.3× 51 1.1k
Rachel A. Myers United States 17 276 1.5× 221 1.6× 113 1.0× 63 0.6× 45 0.4× 42 893
Julian R. Homburger United States 11 212 1.1× 362 2.6× 50 0.5× 72 0.7× 179 1.8× 13 1.0k
Segun Fatumo United Kingdom 17 386 2.1× 349 2.5× 184 1.7× 35 0.3× 97 1.0× 90 1.0k
Elizabeth J. Horn United States 21 155 0.8× 72 0.5× 199 1.8× 64 0.6× 96 0.9× 61 1.6k
Carol Waudby United States 11 85 0.5× 136 1.0× 131 1.2× 47 0.4× 55 0.5× 12 521
Yue He China 13 369 2.0× 34 0.2× 35 0.3× 29 0.3× 107 1.0× 47 766
Elena Flowers United States 19 262 1.4× 51 0.4× 102 0.9× 102 0.9× 66 0.6× 59 959
Wael Osman United Arab Emirates 13 155 0.8× 104 0.7× 43 0.4× 112 1.0× 62 0.6× 23 682

Countries citing papers authored by Erick R. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Erick R. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erick R. Scott. 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 Erick R. Scott. The network helps show where Erick R. Scott may publish in the future.

Co-authorship network of co-authors of Erick R. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Erick R. Scott. A scholar is included among the top collaborators of Erick R. Scott 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 Erick R. Scott. Erick R. Scott 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.
Scott, Erick R., Natalia Egorova, Robert Freeman, et al.. (2024). Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. npj Digital Medicine. 7(1). 149–149. 5 indexed citations
2.
Eichenberger, Emily M., Nicholas Degner, Erick R. Scott, et al.. (2022). Microbial Cell-Free DNA Identifies the Causative Pathogen in Infective Endocarditis and Remains Detectable Longer Than Conventional Blood Culture in Patients with Prior Antibiotic Therapy. Clinical Infectious Diseases. 76(3). e1492–e1500. 48 indexed citations
3.
Scott, Erick R., Yao Yang, Mariana Rodrigues Botton, et al.. (2022). Long‐read HiFi sequencing of NUDT15 : Phased full‐gene haplotyping and pharmacogenomic allele discovery. Human Mutation. 43(11). 1557–1566. 7 indexed citations
4.
Scott, Stuart A., et al.. (2021). Pharmacogenomic education among genetic counseling training programs in North America. Journal of Genetic Counseling. 30(5). 1500–1508. 12 indexed citations
5.
6.
Botton, Mariana Rodrigues, Yao Yang, Erick R. Scott, Robert J. Desnick, & Stuart A. Scott. (2020). Phased Haplotype Resolution of the SLC6A4 Promoter Using Long-Read Single Molecule Real-Time (SMRT) Sequencing. Genes. 11(11). 1333–1333. 5 indexed citations
7.
Middleton, Anna, Richard Milne, Heidi Howard, et al.. (2019). Members of the public in the USA, UK, Canada and Australia expressing genetic exceptionalism say they are more willing to donate genomic data. European Journal of Human Genetics. 28(4). 424–434. 24 indexed citations
8.
Scott, Erick R., et al.. (2019). VarCover. Journal of Molecular Diagnostics. 22(2). 123–131. 3 indexed citations
9.
Chan, Yu‐Feng Yvonne, Brian M. Bot, Micol Zweig, et al.. (2018). The asthma mobile health study, smartphone data collected using ResearchKit. Scientific Data. 5(1). 180096–180096. 38 indexed citations
10.
Thorogood, Adrian, Jason Bobe, Barbara Prainsack, et al.. (2018). APPLaUD: access for patients and participants to individual level uninterpreted genomic data. Human Genomics. 12(1). 7–7. 34 indexed citations
11.
Chan, Yu‐Feng Yvonne, Pei Wang, Linda Rogers, et al.. (2017). The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit. Nature Biotechnology. 35(4). 354–362. 146 indexed citations
12.
Pak, Theodore R., Timothy J. O’Donnell, Shirish Huprikar, et al.. (2017). Estimating Local Costs Associated WithClostridium difficileInfection Using Machine Learning and Electronic Medical Records. Infection Control and Hospital Epidemiology. 38(12). 1478–1486. 6 indexed citations
13.
Yang, Yao, Mariana Rodrigues Botton, Erick R. Scott, & Stuart A. Scott. (2017). Sequencing the CYP2D6 Gene: From Variant Allele Discovery to Clinical Pharmacogenetic Testing. Pharmacogenomics. 18(7). 673–685. 81 indexed citations
14.
Credle, Joel J., Tiezheng Yuan, Rajni Sharma, et al.. (2017). Multiplexed analysis of fixed tissue RNA using Ligation in situ Hybridization. Nucleic Acids Research. 45(14). e128–e128. 7 indexed citations
15.
Erikson, Galina, Dale L. Bodian, Manuel Rueda, et al.. (2016). Whole-Genome Sequencing of a Healthy Aging Cohort. Cell. 165(4). 1002–1011. 131 indexed citations
16.
Tignor, Nicole, Pei Wang, Nicholas Genes, et al.. (2016). METHODS FOR CLUSTERING TIME SERIES DATA ACQUIRED FROM MOBILE HEALTH APPS. PubMed. 22. 300–311. 7 indexed citations
17.
18.
Bloss, Cinnamon S., Ashley A. Scott‐Van Zeeland, Sarah E. Topol, et al.. (2015). A genome sequencing program for novel undiagnosed diseases. Genetics in Medicine. 17(12). 995–1001. 20 indexed citations
19.
Larman, H. Benjamin, et al.. (2014). Sensitive, multiplex and direct quantification of RNA sequences using a modified RASL assay. Nucleic Acids Research. 42(14). 9146–9157. 22 indexed citations
20.
Tatro, Erick T., Erick R. Scott, Sugato Banerjee, et al.. (2010). Evidence for Alteration of Gene Regulatory Networks through MicroRNAs of the HIV-Infected Brain: Novel Analysis of Retrospective Cases. PLoS ONE. 5(4). e10337–e10337. 32 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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