Jason E. Miller

2.8k total citations
26 papers, 379 citations indexed

About

Jason E. Miller is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jason E. Miller has authored 26 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Jason E. Miller's work include RNA Research and Splicing (10 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (6 papers). Jason E. Miller is often cited by papers focused on RNA Research and Splicing (10 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (6 papers). Jason E. Miller collaborates with scholars based in United States, Canada and South Korea. Jason E. Miller's co-authors include Joseph C. Reese, Dokyoon Kim, Timothy Walston, Manu Shivakumar, Younghee Lee, M. J. Harris, D. M. Juriloff, Marylyn D. Ritchie, Seonggyun Han and Teresa M. Gunn and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Scientific Reports.

In The Last Decade

Jason E. Miller

24 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason E. Miller United States 11 289 64 34 25 24 26 379
Gabriela Galiová Czechia 10 515 1.8× 69 1.1× 29 0.9× 29 1.2× 21 0.9× 12 591
Ajeet P. Singh United States 11 240 0.8× 88 1.4× 55 1.6× 9 0.4× 30 1.3× 18 374
Sangeeta Chatterjee India 4 245 0.8× 68 1.1× 43 1.3× 22 0.9× 19 0.8× 5 345
Emily Putiri United States 10 242 0.8× 69 1.1× 33 1.0× 15 0.6× 10 0.4× 16 363
Christophe Battail France 13 419 1.4× 63 1.0× 37 1.1× 20 0.8× 19 0.8× 26 592
Laura A. Crinnion United Kingdom 13 274 0.9× 160 2.5× 50 1.5× 38 1.5× 15 0.6× 26 413
Vinod Kaimal United States 3 199 0.7× 41 0.6× 62 1.8× 16 0.6× 28 1.2× 3 320
Xiongwei Fan China 11 200 0.7× 39 0.6× 46 1.4× 15 0.6× 15 0.6× 35 278
Adam Blattler United States 7 311 1.1× 73 1.1× 43 1.3× 9 0.4× 14 0.6× 9 383
Céline Derbois France 9 159 0.6× 108 1.7× 34 1.0× 57 2.3× 26 1.1× 20 307

Countries citing papers authored by Jason E. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jason E. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason E. Miller. 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 Jason E. Miller. The network helps show where Jason E. Miller may publish in the future.

Co-authorship network of co-authors of Jason E. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Jason E. Miller. A scholar is included among the top collaborators of Jason E. Miller 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 Jason E. Miller. Jason E. Miller 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.
Rosen, Robert, Sarita Chung, Robert Hoffmann, et al.. (2023). Race, Ethnicity, and Ancestry in Clinical Pathways: A Framework for Evaluation. PEDIATRICS. 152(6). 2 indexed citations
2.
Park, Joseph, Matthew T. MacLean, Anastasia Lucas, et al.. (2022). Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank. Cell Reports Medicine. 3(12). 100855–100855. 8 indexed citations
3.
Oh, Jong Jin, Manu Shivakumar, Jason E. Miller, et al.. (2019). An exome-wide rare variant analysis of Korean men identifies three novel genes predisposing to prostate cancer. Scientific Reports. 9(1). 17173–17173. 11 indexed citations
4.
Miller, Jason E., Yogasudha Veturi, & Marylyn D. Ritchie. (2019). Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes. BioData Mining. 12(1). 10–10. 7 indexed citations
5.
Miller, Jason E., Raghu Metpally, Thomas N. Person, et al.. (2019). Systematic characterization of germline variants from the DiscovEHR study endometrial carcinoma population. BMC Medical Genomics. 12(1). 59–59. 1 indexed citations
6.
Han, Seonggyun, Jason E. Miller, Dokyoon Kim, et al.. (2019). Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus. BMC Medical Genomics. 12(S1). 13–13. 18 indexed citations
7.
Han, Seonggyun, Jason E. Miller, Shannon L. Risacher, et al.. (2019). Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus. PMC. 1 indexed citations
8.
Shivakumar, Manu, Jason E. Miller, Venkata Ramesh Dasari, Radhika Gogoi, & Dokyoon Kim. (2019). Exome-Wide Rare Variant Analysis From the DiscovEHR Study Identifies Novel Candidate Predisposition Genes for Endometrial Cancer. Frontiers in Oncology. 9. 574–574. 16 indexed citations
9.
Miller, Jason E., Manu Shivakumar, Shannon L. Risacher, et al.. (2018). Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. IUScholarWorks (Indiana University). 1 indexed citations
10.
Han, Seonggyun, Dongwook Kim, Manu Shivakumar, et al.. (2018). The effects of alternative splicing on miRNA binding sites in bladder cancer. PLoS ONE. 13(1). e0190708–e0190708. 17 indexed citations
11.
Han, Seonggyun, Dongwook Kim, Young-Jun Kim, et al.. (2018). CAS-viewer: web-based tool for splicing-guided integrative analysis of multi-omics cancer data. BMC Medical Genomics. 11(S2). 25–25. 9 indexed citations
12.
Miller, Jason E., Manu Shivakumar, Younghee Lee, et al.. (2018). Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer’s disease. BMC Medical Genomics. 11(S3). 76–76. 10 indexed citations
13.
Verma, Anurag, Jason E. Miller, Yanfei Zhang, et al.. (2018). Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals. The American Journal of Human Genetics. 104(1). 55–64. 38 indexed citations
14.
Miller, Jason E., Liye Zhang, Haoyang Jiang, et al.. (2017). Genome-Wide Mapping of Decay Factor–mRNA Interactions in Yeast Identifies Nutrient-Responsive Transcripts as Targets of the Deadenylase Ccr4. G3 Genes Genomes Genetics. 8(1). 315–330. 19 indexed citations
15.
Miller, Jason E. & Joseph C. Reese. (2012). Ccr4-Not complex: the control freak of eukaryotic cells. Critical Reviews in Biochemistry and Molecular Biology. 47(4). 315–333. 140 indexed citations
16.
Miller, Jason E., et al.. (2012). Anti-Ri-associated paraneoplastic cerebellar and brainstem degenerative syndrome. The Journal of the Royal College of Physicians of Edinburgh. 42(3). 221–224. 8 indexed citations
17.
Harris, M. J., D. M. Juriloff, Teresa M. Gunn, & Jason E. Miller. (1994). Development of the cerebellar defect in ataxic SELH/Bc mice. Teratology. 50(1). 63–73. 12 indexed citations
18.
Juriloff, D. M., M. J. Harris, Magnus Härröd, Teresa M. Gunn, & Jason E. Miller. (1993). Ataxia and a cerebellar defect in the exencephaly‐prone SELH/Bc mouse stock. Teratology. 47(4). 333–340. 8 indexed citations
19.
Gunn, Teresa M., D. M. Juriloff, A. Wayne Vogl, M. J. Harris, & Jason E. Miller. (1993). Histological study of the cranial neural folds of mice genetically liable to exencephaly. Teratology. 48(5). 459–471. 9 indexed citations
20.
Juriloff, D. M., et al.. (1992). Studies of a spontaneous lethal mutation at the albino locus in SELH/Bc mice. Genome. 35(2). 342–346. 2 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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