Randy Van Ommeren

974 total citations
10 papers, 364 citations indexed

About

Randy Van Ommeren is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Randy Van Ommeren has authored 10 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Randy Van Ommeren's work include Glioma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Randy Van Ommeren is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Randy Van Ommeren collaborates with scholars based in Canada, Netherlands and United States. Randy Van Ommeren's co-authors include Phedias Diamandis, Ugljesa Djuric, Kevin Faust, Anglin Dent, Maxime Richer, Dilakshan Srikanthan, Michael S. Taccone, Michael D. Staudt, Michael D. Taylor and Borja Holgado and has published in prestigious journals such as Neurology, Brain Pathology and Journal of Neuro-Oncology.

In The Last Decade

Randy Van Ommeren

10 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Randy Van Ommeren Canada	7	131	105	105	80	55	10	364
Felipe Giuste United States	11	72 0.5×	94 0.9×	82 0.8×	225 2.8×	25 0.5×	36	519
Adrian Ion‐Mărgineanu United States	7	39 0.3×	107 1.0×	131 1.2×	39 0.5×	25 0.5×	16	314
Adrian Levine Canada	7	25 0.2×	102 1.0×	105 1.0×	53 0.7×	33 0.6×	25	287
Luoting Zhuang United States	2	69 0.5×	157 1.5×	170 1.6×	55 0.7×	10 0.2×	5	336
Amina Bolatkan Japan	10	61 0.5×	114 1.1×	147 1.4×	138 1.7×	10 0.2×	12	413
Ken Takasawa Japan	15	78 0.6×	142 1.4×	188 1.8×	264 3.3×	17 0.3×	27	652
Norio Shinkai Japan	10	58 0.4×	106 1.0×	150 1.4×	124 1.6×	8 0.1×	14	408
Kevin Boehm United States	5	47 0.4×	128 1.2×	164 1.6×	135 1.7×	10 0.2×	8	433
Deepa Sheth United States	10	45 0.3×	228 2.2×	334 3.2×	24 0.3×	27 0.5×	23	483
Peter Truszkowski United States	2	66 0.5×	211 2.0×	187 1.8×	45 0.6×	6 0.1×	2	341

Countries citing papers authored by Randy Van Ommeren

Since Specialization

Citations

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

Fields of papers citing papers by Randy Van Ommeren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy Van Ommeren. 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 Randy Van Ommeren. The network helps show where Randy Van Ommeren may publish in the future.

Co-authorship network of co-authors of Randy Van Ommeren

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

All Works

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10 of 10 papers shown

Srikanthan, Dilakshan, et al.. (2021). Diffuse intrinsic pontine glioma: current insights and future directions. Chinese Neurosurgical Journal. 7(1). 6–6. 38 indexed citations

Ommeren, Randy Van, Aaron Izenberg, Steven Shadowitz, Richard I. Aviv, & Julia Keith. (2020). Clinical Reasoning: An 81-year-old woman with decreased consciousness and fluctuating right facial droop. Neurology. 94(19). 843–848. 1 indexed citations

Faust, Kevin, et al.. (2019). Deep learning for image analysis: Personalizing medicine closer to the point of care. Critical Reviews in Clinical Laboratory Sciences. 56(1). 61–73. 37 indexed citations

Dent, Anglin, Kevin Faust, Maxime Richer, et al.. (2019). Physician perspectives on integration of artificial intelligence into diagnostic pathology. npj Digital Medicine. 2(1). 28–28. 185 indexed citations

Ommeren, Randy Van, Livia Garzia, Borja Holgado, Vijay Ramaswamy, & Michael D. Taylor. (2019). The molecular biology of medulloblastoma metastasis. Brain Pathology. 30(3). 691–702. 32 indexed citations

Faust, Kevin, et al.. (2019). Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning. Nature Machine Intelligence. 1(7). 316–321. 31 indexed citations

Ommeren, Randy Van & Lili‐Naz Hazrati. (2018). Pathological Assessment of Chronic Traumatic Encephalopathy. Academic Forensic Pathology. 8(3). 555–564. 2 indexed citations

Ommeren, Randy Van, et al.. (2016). Advances in HSP27 and HSP90-targeting strategies for glioblastoma. Journal of Neuro-Oncology. 127(2). 209–219. 25 indexed citations

Qazi, Maleeha, Randy Van Ommeren, Chitra Venugopal, et al.. (2014). Generation of Murine Xenograft Models of Brain Tumors from Primary Human Tissue for In Vivo Analysis of the Brain Tumor-Initiating Cell. Methods in molecular biology. 1210. 37–49. 5 indexed citations

10.

Hart, Peter ‘t, et al.. (2012). Analogues of the HIV-Tat peptide containing Nη-modified arginines as potent inhibitors of protein arginine N-methyltransferases. MedChemComm. 3(10). 1235–1235. 8 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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