Christopher A. Miller

79.7k total citations · 3 hit papers
119 papers, 10.7k citations indexed

About

Christopher A. Miller is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Christopher A. Miller has authored 119 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 39 papers in Hematology and 28 papers in Cancer Research. Recurrent topics in Christopher A. Miller's work include Acute Myeloid Leukemia Research (36 papers), Cancer Genomics and Diagnostics (25 papers) and Epigenetics and DNA Methylation (20 papers). Christopher A. Miller is often cited by papers focused on Acute Myeloid Leukemia Research (36 papers), Cancer Genomics and Diagnostics (25 papers) and Epigenetics and DNA Methylation (20 papers). Christopher A. Miller collaborates with scholars based in United States, Russia and France. Christopher A. Miller's co-authors include Richard K. Wilson, Li Ding, Michael D. McLellan, Qunyuan Zhang, Elaine R. Mardis, Dong Shen, David E. Larson, Ling Lin, Daniel C. Koboldt and Timothy J. Ley and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Christopher A. Miller

116 papers receiving 10.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutational landscape and significance across 12 major cancer types

2013 3.1k citations Michael D. McLellan, Charles Lu et al. profile →
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing

2012 3.1k citations Daniel C. Koboldt, Qunyuan Zhang et al. Genome Research profile →
Age-related mutations associated with clonal hematopoietic expansion and malignancies

2014 1.2k citations Charles Lu, Michael D. McLellan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher A. Miller United States	34	5.7k	3.7k	2.6k	1.6k	1.6k	119	10.7k
Michael D. McLellan United States	20	6.7k 1.2×	4.1k 1.1×	2.4k 0.9×	1.5k 0.9×	2.3k 1.4×	35	11.7k
Franziska Michor United States	60	6.0k 1.0×	4.6k 1.2×	3.8k 1.5×	1.1k 0.6×	2.1k 1.3×	177	12.6k
Lance D. Miller United States	60	7.3k 1.3×	3.3k 0.9×	3.9k 1.5×	860 0.5×	1.2k 0.8×	181	12.9k
Alexander Dobrovic Australia	54	6.3k 1.1×	2.8k 0.8×	3.7k 1.4×	598 0.4×	1.8k 1.1×	219	10.8k
Peter J. van der Spek Netherlands	55	7.0k 1.2×	1.8k 0.5×	1.3k 0.5×	1.4k 0.9×	1.4k 0.9×	252	12.6k
Mel Greaves United Kingdom	57	5.6k 1.0×	2.6k 0.7×	2.8k 1.1×	5.0k 3.0×	1.2k 0.8×	167	13.8k
Rork Kuick United States	56	7.8k 1.4×	3.4k 0.9×	2.4k 0.9×	491 0.3×	1.4k 0.9×	156	13.0k
Ramesh A. Shivdasani United States	76	9.8k 1.7×	1.8k 0.5×	3.6k 1.4×	3.9k 2.4×	2.5k 1.6×	180	17.3k
Seishi Ogawa Japan	69	8.3k 1.5×	2.4k 0.6×	2.8k 1.1×	5.1k 3.1×	1.7k 1.1×	474	16.1k
David D.L. Bowtell Australia	71	11.6k 2.0×	3.5k 0.9×	5.4k 2.1×	662 0.4×	2.1k 1.3×	221	18.4k

Countries citing papers authored by Christopher A. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Christopher A. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher A. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Miller. A scholar is included among the top collaborators of Christopher A. 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 Christopher A. Miller. Christopher A. 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

Kramer, Michael H., Yang Li, Nichole Helton, et al.. (2025). Overexpression of the signaling coordinator GAB2 can play an important role in acute myeloid leukemia progression. Journal of Clinical Investigation. 135(21).

Miller, Christopher A., et al.. (2024). How Digital Products Enable the Energy Transition. 41(1). 1–9.

Kiwala, Susanna, Zachary L. Skidmore, Jonathan J Song, et al.. (2024). pVACview: an interactive visualization tool for efficient neoantigen prioritization and selection. Genome Medicine. 16(1). 132–132. 1 indexed citations

Abel, Haley, Karolyn A. Oetjen, Christopher A. Miller, et al.. (2023). Genomic landscape of TP53-mutated myeloid malignancies. Blood Advances. 7(16). 4586–4598. 15 indexed citations

Mullen, Mary M., Nicholas C. Spies, Tiandao Li, et al.. (2023). Genetic characterization of primary and metastatic high-grade serous ovarian cancer tumors reveals distinct features associated with survival. Communications Biology. 6(1). 688–688. 18 indexed citations

Miller, Christopher A., Jason Walker, Robert S. Fulton, et al.. (2022). Failure to Detect Mutations in U2AF1 due to Changes in the GRCh38 Reference Sequence. Journal of Molecular Diagnostics. 24(3). 219–223. 14 indexed citations

Shea, Lauren, Leigh A. Compton, Sai Mukund Ramakrishnan, et al.. (2022). Combined Kdm6a and Trp53 Deficiency Drives the Development of Squamous Cell Skin Cancer in Mice. Journal of Investigative Dermatology. 143(2). 232–241.e6. 6 indexed citations

Chen, David Y., Nichole Helton, Sai Mukund Ramakrishnan, et al.. (2021). Dnmt3a deficiency in the skin causes focal, canonical DNA hypomethylation and a cellular proliferation phenotype. Proceedings of the National Academy of Sciences. 118(16). 8 indexed citations

Hundal, Jasreet, Susanna Kiwala, Joshua F. McMichael, et al.. (2020). pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens. Cancer Immunology Research. 8(3). 409–420. 145 indexed citations

10.

Jacoby, Meagan A., Eric J. Duncavage, Gue Su Chang, et al.. (2017). Subclonal Evolution Characterizes MDS Disease Progression Following Allogeneic Stem Cell Transplant. Blood. 130. 4232. 1 indexed citations

11.

Johanns, Tanner M., Christopher A. Miller, Ian G. Dorward, et al.. (2016). Immunogenomics of Hypermutated Glioblastoma: A Patient with Germline POLE Deficiency Treated with Checkpoint Blockade Immunotherapy. Cancer Discovery. 6(11). 1230–1236. 209 indexed citations

12.

Johanns, Tanner M., Jeffrey P. Ward, Christopher A. Miller, et al.. (2016). Endogenous Neoantigen-Specific CD8 T Cells Identified in Two Glioblastoma Models Using a Cancer Immunogenomics Approach. Cancer Immunology Research. 4(12). 1007–1015. 80 indexed citations

13.

Krysiak, Kilannin, Felicia Gomez, Brian S. White, et al.. (2016). Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma. Blood. 129(4). 473–483. 110 indexed citations

14.

Miller, Christopher A., Yevgeniy Gindin, Charles Lu, et al.. (2016). Aromatase inhibition remodels the clonal architecture of estrogen-receptor-positive breast cancers. Nature Communications. 7(1). 12498–12498. 51 indexed citations

15.

Hirbe, Angela C., Sonika Dahiya, Christopher A. Miller, et al.. (2015). Whole Exome Sequencing Reveals the Order of Genetic Changes during Malignant Transformation and Metastasis in a Single Patient with NF1-plexiform Neurofibroma. Clinical Cancer Research. 21(18). 4201–4211. 37 indexed citations

16.

Miller, Christopher A.. (2014). Trust and Delegation: Achieving Robust Interactions with Subordinates. National Conference on Artificial Intelligence. 1 indexed citations

17.

Miller, Christopher A., et al.. (2013). Vismodegib: a hedgehog pathway inhibitor for locally advanced and metastatic basal cell carcinomas.. PubMed. 12(10 Suppl). s154–5. 5 indexed citations

18.

Koboldt, Daniel C., Qunyuan Zhang, David E. Larson, et al.. (2012). VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Research. 22(3). 568–576. 3093 indexed citations breakdown →

19.

Miller, Christopher A., Oliver Hampton, Cristian Coarfa, & Aleksandar Milosavljevic. (2011). ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads. PLoS ONE. 6(1). e16327–e16327. 156 indexed citations

20.

Coarfa, Cristian, Fuli Yu, Christopher A. Miller, et al.. (2010). Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing. BMC Bioinformatics. 11(1). 572–572. 37 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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