Brandon Jew

974 total citations
11 papers, 447 citations indexed

About

Brandon Jew is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Brandon Jew has authored 11 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Physiology. Recurrent topics in Brandon Jew's work include Genetic Associations and Epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Brandon Jew is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Brandon Jew collaborates with scholars based in United States, Finland and Mexico. Brandon Jew's co-authors include Eran Halperin, Elior Rahmani, Jae Hoon Sul, Marcus Alvarez, Kirsi H. Pietiläinen, Päivi Pajukanta, Zong Miao, Kristina M. Garske, Arthur Ko and Brian L. Hill and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Brandon Jew

9 papers receiving 445 citations

Peers

Brandon Jew

MB

CR

GENET

CCM

PHYSI

Pashupati P. Mishra Finland

Manu Shivakumar United States

Pilib Ó Broin Ireland

Young Soo Han United States

Lan Shen China

Abu Z M Dayem Ullah United Kingdom

Hong‐Mei Xiao China

Shaza B. Zaghlool Qatar

Sajjad Rafiq United Kingdom

Weijun Huang China

Pashupati P. Mishra Finland

Brandon Jew

197 ×0.9

MB

74 ×0.9

CR

48 ×0.8

GENET

71 ×1.3

CCM

26 ×0.5

PHYSI

Citations per year, relative to Brandon Jew Brandon Jew (= 1×) peers Pashupati P. Mishra

Countries citing papers authored by Brandon Jew

Since Specialization

Citations

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

Fields of papers citing papers by Brandon Jew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Jew

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

All Works

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11 of 11 papers shown

1.

Rahmani, Elior, Brandon Jew, & Eran Halperin. (2022). The Effect of Model Directionality on Cell-Type-Specific Differential DNA Methylation Analysis. SHILAP Revista de lepidopterología. 1. 792605–792605.

2.

Jew, Brandon, et al.. (2021). Rare variants in the endocytic pathway are associated with Alzheimer’s disease, its related phenotypes, and functional consequences. PLoS Genetics. 17(9). e1009772–e1009772. 5 indexed citations

3.

Jew, Brandon, et al.. (2021). xGAP: a python based efficient, modular, extensible and fault tolerant genomic analysis pipeline for variant discovery. Bioinformatics. 37(1). 9–16.

4.

Miao, Zong, Marcus Alvarez, Arthur Ko, et al.. (2020). The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance. PLoS Genetics. 16(9). e1009018–e1009018. 35 indexed citations

5.

Alvarez, Marcus, Elior Rahmani, Brandon Jew, et al.. (2020). Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM. Scientific Reports. 10(1). 11019–11019. 51 indexed citations

6.

Goodman‐Meza, David, Jeffrey N. Chiang, Paul C. Adamson, et al.. (2020). A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity. PLoS ONE. 15(9). e0239474–e0239474. 48 indexed citations

7.

Jew, Brandon, Marcus Alvarez, Elior Rahmani, et al.. (2020). Accurate estimation of cell composition in bulk expression through robust integration of single-cell information. Nature Communications. 11(1). 1971–1971. 212 indexed citations

8.

Hill, Brian L., Robert J. Brown, Eilon Gabel, et al.. (2019). An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data. British Journal of Anaesthesia. 123(6). 877–886. 55 indexed citations

9.

Jew, Brandon, et al.. (2019). ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. PLoS Computational Biology. 15(12). e1007556–e1007556. 19 indexed citations

10.

Hormozdiari, Farhad, Brandon Jew, Stephane E. Castel, et al.. (2019). Leveraging allelic imbalance to refine fine-mapping for eQTL studies. PLoS Genetics. 15(12). e1008481–e1008481. 21 indexed citations

11.

Jew, Brandon & Jae Hoon Sul. (2019). Variant calling and quality control of large-scale human genome sequencing data. Emerging Topics in Life Sciences. 3(4). 399–409. 1 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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