Brendan Miller

1.9k total citations
36 papers, 909 citations indexed

About

Brendan Miller is a scholar working on Molecular Biology, Physiology and Rheumatology. According to data from OpenAlex, Brendan Miller has authored 36 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Physiology and 12 papers in Rheumatology. Recurrent topics in Brendan Miller's work include GDF15 and Related Biomarkers (12 papers), Nutrition and Health in Aging (8 papers) and Epigenetics and DNA Methylation (7 papers). Brendan Miller is often cited by papers focused on GDF15 and Related Biomarkers (12 papers), Nutrition and Health in Aging (8 papers) and Epigenetics and DNA Methylation (7 papers). Brendan Miller collaborates with scholars based in United States, Japan and Switzerland. Brendan Miller's co-authors include Kelvin Yen, Su‐Jeong Kim, Pinchas Cohen, Jean Fan, Hemal H. Mehta, Hiroshi Kumagai, Laura Elnitski, Anthony V. Furano, Jia Chen and Feiyang Huang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Brendan Miller

34 papers receiving 890 citations

Peers

Brendan Miller

PHYSI

RHEUM

IMMUN

Alberto Blázquez Spain

Pirjo Isohanni Finland

Tamar R. Grossman United States

Marco Boccitto United States

Elżbieta Ciara Poland

Diane C. Cabelof United States

Claudia Strafella Italy

Wenning Qin United States

Ana Fernández‐Marmiesse Spain

Alberto Blázquez Spain

Brendan Miller

750 ×1.2

129 ×0.6

PHYSI

185 ×1.0

RHEUM

61 ×0.5

111 ×1.0

IMMUN

Citations per year, relative to Brendan Miller Brendan Miller (= 1×) peers Alberto Blázquez

Countries citing papers authored by Brendan Miller

Since Specialization

Citations

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

Fields of papers citing papers by Brendan Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Miller

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

All Works

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20 of 20 papers shown

Miller, Brendan, et al.. (2025). ShortStop: a machine learning framework for microprotein discovery. PubMed. 2(1). 16–16.

Atta, Lyla, et al.. (2024). SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis. Bioinformatics. 40(7). 3 indexed citations

Yen, Kelvin, et al.. (2024). Mitochondrial-derived microproteins: from discovery to function. Trends in Genetics. 41(2). 132–145. 5 indexed citations

Kim, Su‐Jeong, Brendan Miller, Ricardo Ramírez, et al.. (2024). A naturally occurring variant of SHLP2 is a protective factor in Parkinson’s disease. Molecular Psychiatry. 29(2). 505–517. 9 indexed citations

Bookout, Angie L., Christopher A. Barnes, Brendan Miller, et al.. (2024). Rp3: Ribosome profiling-assisted proteogenomics improves coverage and confidence during microprotein discovery. Nature Communications. 15(1). 6839–6839. 7 indexed citations

Kumagai, Hiroshi, Su‐Jeong Kim, Brendan Miller, et al.. (2024). Mitochondrial-derived microprotein MOTS-c attenuates immobilization-induced skeletal muscle atrophy by suppressing lipid infiltration. American Journal of Physiology-Endocrinology and Metabolism. 326(3). E207–E214. 7 indexed citations

García‐Ruiz, Almudena, Cynthia J. Donaldson, Joan Vaughan, et al.. (2024). Microprotein-encoding RNA regulation in cells treated with pro-inflammatory and pro-fibrotic stimuli. BMC Genomics. 25(1). 1034–1034. 2 indexed citations

Miller, Brendan, Hua Tan, Gennady Margolin, et al.. (2023). Evaluating Stacked Methylation Markers for Blood-Based Multicancer Detection. Cancers. 15(19). 4826–4826. 4 indexed citations

Kumagai, Hiroshi, Brendan Miller, Su‐Jeong Kim, et al.. (2023). Novel Insights into Mitochondrial DNA: Mitochondrial Microproteins and mtDNA Variants Modulate Athletic Performance and Age-Related Diseases. Genes. 14(2). 286–286. 18 indexed citations

10.

Miller, Brendan, Feiyang Huang, Lyla Atta, Arpan Sahoo, & Jean Fan. (2022). Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data. Nature Communications. 13(1). 2339–2339. 104 indexed citations

11.

Kim, Su‐Jeong, Brendan Miller, Hiroshi Kumagai, et al.. (2021). Humanin-induced autophagy plays important roles in skeletal muscle function and lifespan extension. Biochimica et Biophysica Acta (BBA) - General Subjects. 1866(1). 130017–130017. 26 indexed citations

12.

Miller, Brendan, Dhananjay Bambah-Mukku, Catherine Dulac, Xiaowei Zhuang, & Jean Fan. (2021). Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities. Genome Research. 31(10). 1843–1855. 81 indexed citations

13.

Kumagai, Hiroshi, Toshiharu Natsume, Su‐Jeong Kim, et al.. (2021). The MOTS-c K14Q polymorphism in the mtDNA is associated with muscle fiber composition and muscular performance. Biochimica et Biophysica Acta (BBA) - General Subjects. 1866(2). 130048–130048. 12 indexed citations

14.

Miller, Brendan, et al.. (2020). Mito-Omics and immune function: Applying novel mitochondrial omic techniques to the context of the aging immune system. SHILAP Revista de lepidopterología. 4. 132–140. 1 indexed citations

15.

Miller, Brendan, Su‐Jeong Kim, Hiroshi Kumagai, et al.. (2020). Peptides derived from small mitochondrial open reading frames: Genomic, biological, and therapeutic implications. Experimental Cell Research. 393(2). 112056–112056. 56 indexed citations

16.

Kim, Su‐Jeong, et al.. (2020). Mitochondrial-derived peptides in aging and age-related diseases. GeroScience. 43(3). 1113–1121. 54 indexed citations

17.

Mehta, Hemal H., Jialin Xiao, Ricardo Ramírez, et al.. (2019). Metabolomic profile of diet-induced obesity mice in response to humanin and small humanin-like peptide 2 treatment. Metabolomics. 15(6). 88–88. 34 indexed citations

18.

Huang, Di, Hanna M. Petrykowska, Brendan Miller, Laura Elnitski, & Ivan Ovcharenko. (2019). Identification of human silencers by correlating cross-tissue epigenetic profiles and gene expression. Genome Research. 29(4). 657–667. 51 indexed citations

19.

Yen, Kelvin, Junxiang Wan, Hemal H. Mehta, et al.. (2018). Humanin Prevents Age-Related Cognitive Decline in Mice and is Associated with Improved Cognitive Age in Humans. Scientific Reports. 8(1). 14212–14212. 72 indexed citations

20.

Steere, Allen C., Brendan Miller, Shaina L. Byrne, et al.. (2011). Ionic Residues of Human Serum Transferrin Affect Binding to the Transferrin Receptor and Iron Release. Biochemistry. 51(2). 686–694. 17 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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