Michael Miller

32.1k total citations · 2 hit papers
42 papers, 1.3k citations indexed

About

Michael Miller is a scholar working on Molecular Biology, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Michael Miller has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cognitive Neuroscience and 4 papers in Surgery. Recurrent topics in Michael Miller's work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Michael Miller is often cited by papers focused on Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Michael Miller collaborates with scholars based in United States, United Kingdom and Netherlands. Michael Miller's co-authors include Sebastian Preißl, Kyle J. Gaulton, Joshua Chiou, Yunjiang Qiu, Maike Sander, Mei-Lin Okino, David U. Gorkin, Jee Yun Han, Allen Wang and Kai Zhang and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Michael Miller

34 papers receiving 1.2k 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.

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

2021 205 citations Joshua Chiou, Ryan J. Geusz et al. Nature profile →
A single-cell atlas of chromatin accessibility in the human genome

2021 200 citations Kai Zhang, James D. Hocker et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Miller United States	16	455	292	210	177	163	42	1.3k
Chris Burns United Kingdom	25	667 1.5×	222 0.8×	196 0.9×	63 0.4×	294 1.8×	73	2.3k
David Ko United States	20	153 0.3×	80 0.3×	324 1.5×	186 1.1×	212 1.3×	38	1.5k
Gerard Conway United Kingdom	17	570 1.3×	776 2.7×	104 0.5×	52 0.3×	76 0.5×	37	1.7k
Lisa Friedland United States	10	763 1.7×	502 1.7×	316 1.5×	82 0.5×	58 0.4×	17	2.8k
Timo Hannay United Kingdom	9	1.0k 2.3×	134 0.5×	250 1.2×	164 0.9×	25 0.2×	19	1.8k
Douglas G. Howe United States	16	779 1.7×	167 0.6×	95 0.5×	17 0.1×	53 0.3×	33	1.4k
Günther Specht Austria	16	549 1.2×	715 2.4×	241 1.1×	27 0.2×	32 0.2×	77	1.7k
Kevin Page United Kingdom	18	136 0.3×	100 0.3×	265 1.3×	32 0.2×	61 0.4×	105	1.4k
Kimberly A. Stevens United States	20	779 1.7×	191 0.7×	89 0.4×	99 0.6×	268 1.6×	39	1.9k
Tudor Groza Australia	19	861 1.9×	565 1.9×	183 0.9×	33 0.2×	29 0.2×	82	1.7k

Countries citing papers authored by Michael Miller

Since Specialization

Citations

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

Fields of papers citing papers by Michael Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Miller

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miller, Michael, et al.. (2025). Artificial intelligence-driven decision support for patients with acute respiratory failure: a scoping review. Intensive Care Medicine Experimental. 13(1). 83–83.

Lu, Xiaolei, et al.. (2025). Deep Counterfactual Inference for Individual Treatment Effects (ITE): Comparing High-flow Nasal Cannula and Non-invasive Ventilation in Critical Care. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7164–A7164.

Hall, Matthew S., Christopher M. Dower, Michael Miller, et al.. (2024). Abstract 4009: Discovery of inhibitory CAR target DSG1 for damping NECTIN4 on-target off-tumor toxicity in iPSC-derived CAR-T cell therapy. Cancer Research. 84(6_Supplement). 4009–4009.

Lam, Jonathan Y., Xiaolei Lu, Supreeth P. Shashikumar, et al.. (2024). Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients. JAMIA Open. 7(4). ooae141–ooae141.

Zhu, Han, Gaowei Wang, Dong‐Su Kim, et al.. (2023). Understanding cell fate acquisition in stem-cell-derived pancreatic islets using single-cell multiome-inferred regulomes. Developmental Cell. 58(9). 727–743.e11. 34 indexed citations

Benaglio, Paola, Jee Yun Han, Joshua Chiou, et al.. (2023). Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood. PLoS Genetics. 19(6). e1010759–e1010759. 15 indexed citations

Chiou, Joshua, Ryan J. Geusz, Mei-Lin Okino, et al.. (2021). Interpreting type 1 diabetes risk with genetics and single-cell epigenomics. Nature. 594(7863). 398–402. 205 indexed citations breakdown →

Chiou, Joshua, Chun Zeng, Cheng Zhang, et al.. (2021). Single-cell chromatin accessibility identifies pancreatic islet cell type– and state-specific regulatory programs of diabetes risk. Nature Genetics. 53(4). 455–466. 89 indexed citations

Zhang, Kai, James D. Hocker, Michael Miller, et al.. (2021). A single-cell atlas of chromatin accessibility in the human genome. Cell. 184(24). 5985–6001.e19. 200 indexed citations breakdown →

10.

Faria, Andréia V., Yi Zhao, Chenfei Ye, et al.. (2020). Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup. Human Brain Mapping. 42(4). 1034–1053. 22 indexed citations

11.

Reynolds, Sheila M., Michael Miller, Kalle Leinonen, et al.. (2017). The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research. Cancer Research. 77(21). e7–e10. 35 indexed citations

12.

Miller, Michael, Leanne Chukoskie, Marla Zinni, Jeanne Townsend, & Doris A. Trauner. (2014). Dyspraxia, motor function and visual–motor integration in autism. Behavioural Brain Research. 269. 95–102. 84 indexed citations

13.

Miller, Michael, Leanne Chukoskie, Jeanne Townsend, & Doris A. Trauner. (2013). Do the Eyes Have It? Apraxia and Oculomotor Control in Autism (IN4-2.005). Neurology. 80(7_supplement). 1 indexed citations

14.

Miller, Michael, Leanne Chukoskie, Jeanne Townsend, & Doris A. Trauner. (2013). Do the Eyes Have It? Apraxia and Oculomotor Control in Autism (P02.101). Neurology. 80(7_supplement). 1 indexed citations

15.

Deus, Helena, Eric Prud’hommeaux, Michael Miller, et al.. (2012). Translating standards into practice – One Semantic Web API for Gene Expression. Journal of Biomedical Informatics. 45(4). 782–794. 10 indexed citations

16.

Dipietro, Laura & Michael Miller. (2009). Extending expertise through conference calls and blogging.. TigerPrints (Clemson University). 47(6). 1 indexed citations

17.

Sansone, Susanna‐Assunta, Philippe Rocca‐Serra, Marco Brandizi, et al.. (2008). The First RSBI (ISA-TAB) Workshop: “Can a Simple Format Work for Complex Studies?”. OMICS A Journal of Integrative Biology. 12(2). 143–149. 58 indexed citations

18.

Miller, Michael. (2008). YouTube for Business: Online Video Marketing for Any Business. CERN Document Server (European Organization for Nuclear Research). 20 indexed citations

19.

Miller, Michael. (2007). Google™pedia: the ultimate google resource, second edition. 20(13). 1563–1574. 1 indexed citations

20.

Miller, Michael, et al.. (1998). Creating false memories for visual scenes. Neuropsychologia. 36(6). 513–520. 86 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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