Michael D. Onken

7.3k total citations · 3 hit papers
49 papers, 4.8k citations indexed

About

Michael D. Onken is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael D. Onken has authored 49 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ophthalmology, 27 papers in Molecular Biology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael D. Onken's work include Ocular Oncology and Treatments (28 papers), Cell Adhesion Molecules Research (10 papers) and Immunotherapy and Immune Responses (9 papers). Michael D. Onken is often cited by papers focused on Ocular Oncology and Treatments (28 papers), Cell Adhesion Molecules Research (10 papers) and Immunotherapy and Immune Responses (9 papers). Michael D. Onken collaborates with scholars based in United States, Germany and Russia. Michael D. Onken's co-authors include J. William Harbour, Lori A. Worley, A. Bowcock, Justis P. Ehlers, Elisha Roberson, Katie A. Matatall, Shenghui Duan, Cynthia Helms, Li Cao and John A. Cooper and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael D. Onken

48 papers receiving 4.7k 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.

Frequent Mutation of BAP1 in Metastasizing Uveal Melanomas

2010 1.0k citations J. William Harbour, Michael D. Onken et al. profile →
Gene Expression Profiling in Uveal Melanoma Reveals Two Molecular Classes and Predicts Metastatic Death

2004 514 citations Michael D. Onken, Lori A. Worley et al. Cancer Research profile →
Recurrent mutations at codon 625 of the splicing factor SF3B1 in uveal melanoma

2013 374 citations J. William Harbour, Elisha Roberson et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael D. Onken United States	29	2.8k	2.5k	1.5k	1.1k	627	49	4.8k
Klaus Griewank Germany	28	1.4k 0.5×	2.0k 0.8×	2.5k 1.6×	1.7k 1.5×	342 0.5×	82	5.3k
Takami Sato United States	35	1.6k 0.6×	1.3k 0.5×	1.7k 1.1×	1.4k 1.2×	372 0.6×	179	3.8k
David Cobrinik United States	34	1.4k 0.5×	3.0k 1.2×	2.5k 1.7×	336 0.3×	205 0.3×	74	4.8k
Vladimir Bezrookove United States	28	613 0.2×	2.1k 0.8×	1.0k 0.7×	464 0.4×	132 0.2×	48	3.3k
J. William Harbour United States	57	6.6k 2.4×	7.0k 2.8×	5.5k 3.7×	2.3k 2.0×	1.4k 2.2×	198	13.3k
Antje Sucker Germany	42	513 0.2×	3.3k 1.3×	3.9k 2.6×	2.6k 2.3×	138 0.2×	101	6.8k
Göran Jönsson Sweden	38	227 0.1×	2.5k 1.0×	2.2k 1.5×	1.1k 1.0×	166 0.3×	118	4.7k
Michal Lotem Israel	29	218 0.1×	1.9k 0.8×	3.4k 2.3×	1.8k 1.6×	257 0.4×	106	4.9k
A. Hunter Shain United States	23	255 0.1×	2.8k 1.1×	2.1k 1.4×	544 0.5×	75 0.1×	36	4.6k
Toshiro Kageshita Japan	28	131 0.0×	2.9k 1.2×	2.8k 1.9×	1.7k 1.5×	556 0.9×	135	5.1k

Countries citing papers authored by Michael D. Onken

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Onken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Onken

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Onken. A scholar is included among the top collaborators of Michael D. Onken 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 D. Onken. Michael D. Onken 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

Onken, Michael D., Petra Erdmann-Gilmore, Qiang Zhang, et al.. (2023). Protein Kinase Signaling Networks Driven by Oncogenic Gq/11 in Uveal Melanoma Identified by Phosphoproteomic and Bioinformatic Analyses. Molecular & Cellular Proteomics. 22(11). 100649–100649. 3 indexed citations

Onken, Michael D., Kendall Blumer, & John A. Cooper. (2021). Uveal melanoma cells use ameboid and mesenchymal mechanisms of cell motility crossing the endothelium. Molecular Biology of the Cell. 32(5). 413–421. 14 indexed citations

Truong, Amanda, Jae Hyuk Yoo, John Michael S. Sanchez, et al.. (2020). Chloroquine Sensitizes GNAQ/11 -mutated Melanoma to MEK1/2 Inhibition. Clinical Cancer Research. 26(23). 6374–6386. 38 indexed citations

Drewry, Lisa L., et al.. (2019). The secreted kinase ROP17 promotes Toxoplasma gondii dissemination by hijacking monocyte tissue migration. Nature Microbiology. 4(11). 1951–1963. 47 indexed citations

Qi, Zongtai, et al.. (2018). Transposase mapping identifies the genomic targets of BAP1 in uveal melanoma. BMC Medical Genomics. 11(1). 97–97. 7 indexed citations

Fillion‐Robin, Jean‐Christophe, Michael D. Onken, Jörg Riesmeier, et al.. (2017). dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM. Cancer Research. 77(21). e87–e90. 28 indexed citations

Fedorov, Andriy, David Clunie, Christian Bauer, et al.. (2016). DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ. 4. e2057–e2057. 57 indexed citations

Onken, Michael D., Ashley E. Winkler, Krishna-Latha Kanchi, et al.. (2014). A Surprising Cross-Species Conservation in the Genomic Landscape of Mouse and Human Oral Cancer Identifies a Transcriptional Signature Predicting Metastatic Disease. Clinical Cancer Research. 20(11). 2873–2884. 83 indexed citations

Onken, Michael D., Jinmei Li, & John A. Cooper. (2014). Uveal Melanoma Cells Utilize a Novel Route for Transendothelial Migration. PLoS ONE. 9(12). e115472–e115472. 19 indexed citations

10.

Harbour, J. William, Elisha Roberson, Hima Anbunathan, et al.. (2013). Recurrent mutations at codon 625 of the splicing factor SF3B1 in uveal melanoma. Nature Genetics. 45(2). 133–135. 374 indexed citations breakdown →

11.

Landreville, Solange, Olga A. Agapova, Katie A. Matatall, et al.. (2011). Histone Deacetylase Inhibitors Induce Growth Arrest and Differentiation in Uveal Melanoma. Clinical Cancer Research. 18(2). 408–416. 212 indexed citations

12.

Delston, Rachel B., Katie A. Matatall, Yang Sun, Michael D. Onken, & J. William Harbour. (2010). p38 phosphorylates Rb on Ser567 by a novel, cell cycle-independent mechanism that triggers Rb–Hdm2 interaction and apoptosis. Oncogene. 30(5). 588–599. 37 indexed citations

13.

Ehlers, Justis P., Lori A. Worley, Michael D. Onken, & J. William Harbour. (2008). Integrative Genomic Analysis of Aneuploidy in Uveal Melanoma. Clinical Cancer Research. 14(1). 115–122. 87 indexed citations

14.

Worley, Lori A., et al.. (2008). Micro-RNAs associated with metastasis in uveal melanoma identified by multiplexed microarray profiling. Melanoma Research. 18(3). 184–190. 126 indexed citations

15.

Worley, Lori A., et al.. (2007). Transcriptomic versus Chromosomal Prognostic Markers and Clinical Outcome in Uveal Melanoma. Clinical Cancer Research. 13(5). 1466–1471. 124 indexed citations

16.

Onken, Michael D., et al.. (2007). Loss of Heterozygosity of Chromosome 3 Detected with Single Nucleotide Polymorphisms Is Superior to Monosomy 3 for Predicting Metastasis in Uveal Melanoma. Clinical Cancer Research. 13(10). 2923–2927. 95 indexed citations

17.

Harbour, J. William, et al.. (2007). Chromosome 8p Status Predicts Disease-Free Survival in Aggressive Class 2 Uveal Melanomas. Investigative Ophthalmology & Visual Science. 48(13). 1942–1942. 1 indexed citations

18.

Onken, Michael D., et al.. (2006). Functional Gene Expression Analysis Uncovers Phenotypic Switch in Aggressive Uveal Melanomas. Cancer Research. 66(9). 4602–4609. 130 indexed citations

19.

Onken, Michael D., Amy Lin, Lori A. Worley, Robert Folberg, & J. William Harbour. (2005). Association Between Microarray Gene Expression Signature and Extravascular Matrix Patterns in Primary Uveal Melanomas. American Journal of Ophthalmology. 140(4). 748–749. 36 indexed citations

20.

Onken, Michael D., Lori A. Worley, Justis P. Ehlers, & J. William Harbour. (2004). Gene Expression Profiling in Uveal Melanoma Reveals Two Molecular Classes and Predicts Metastatic Death. Cancer Research. 64(20). 7205–7209. 514 indexed citations breakdown →

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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