William D. Dunn

1.1k total citations
16 papers, 449 citations indexed

About

William D. Dunn is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, William D. Dunn has authored 16 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in William D. Dunn's work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (2 papers). William D. Dunn is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (2 papers). William D. Dunn collaborates with scholars based in United States, Switzerland and Denmark. William D. Dunn's co-authors include David A. Gutman, Hugo J.W.L. Aerts, Patrick Großmann, Chad A. Holder, Lee Cooper, Brian M. Alexander, Erin E. Hecht, Marc Kent, Daniel J. Brat and Todd M. Preuss and has published in prestigious journals such as Journal of Neuroscience, Cancer Research and Scientific Reports.

In The Last Decade

William D. Dunn

16 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William D. Dunn United States	11	210	143	76	67	54	16	449
Jerry J. Lou United States	11	228 1.1×	337 2.4×	292 3.8×	77 1.1×	45 0.8×	14	856
Guy Nadav Israel	6	132 0.6×	50 0.3×	117 1.5×	18 0.3×	31 0.6×	9	521
Sofie Van Cauter Belgium	13	513 2.4×	229 1.6×	46 0.6×	30 0.4×	65 1.2×	22	718
Kyriaki Theodorou Greece	14	370 1.8×	212 1.5×	29 0.4×	128 1.9×	33 0.6×	26	595
Balaji Pandian United States	7	61 0.3×	49 0.3×	169 2.2×	48 0.7×	9 0.2×	13	464
Eugenio Maria Covelli Italy	13	189 0.9×	41 0.3×	67 0.9×	38 0.6×	20 0.4×	38	442
Felipe Giuste United States	11	82 0.4×	25 0.2×	225 3.0×	41 0.6×	29 0.5×	36	519
Diana Thomas United States	11	41 0.2×	50 0.3×	90 1.2×	30 0.4×	147 2.7×	24	345
Ulf‐Dietrich Braumann Germany	14	65 0.3×	27 0.2×	111 1.5×	25 0.4×	82 1.5×	39	534
Alberto Santamaría-Pang United States	13	64 0.3×	29 0.2×	228 3.0×	21 0.3×	76 1.4×	32	544

Countries citing papers authored by William D. Dunn

Since Specialization

Citations

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

Fields of papers citing papers by William D. Dunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William D. Dunn

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

All Works

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16 of 16 papers shown

Hecht, Erin E., Jeroen B. Smaers, William D. Dunn, et al.. (2019). Significant Neuroanatomical Variation Among Domestic Dog Breeds. Journal of Neuroscience. 39(39). 7748–7758. 68 indexed citations

Ross, James, Lee Cooper, Jun Kong, et al.. (2017). 5-Aminolevulinic Acid Guided Sampling of Glioblastoma Microenvironments Identifies Pro-Survival Signaling at Infiltrative Margins. Scientific Reports. 7(1). 15593–15593. 19 indexed citations

Dunn, William D., Hugo J.W.L. Aerts, Lee Cooper, Chad A. Holder, & Scott N. Hwang. (2016). Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma. PubMed. 1(2). 64–72. 1 indexed citations

Großmann, Patrick, David A. Gutman, William D. Dunn, Chad A. Holder, & Hugo J.W.L. Aerts. (2016). Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma. BMC Cancer. 16(1). 611–611. 57 indexed citations

Dunn, William D., Jake Cobb, Allan I. Levey, & David A. Gutman. (2016). REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap. International Journal of Medical Informatics. 93. 103–110. 15 indexed citations

Hinrichs, Benjamin H., Scott Newman, Christina Appin, et al.. (2016). Farewell to GBM-O: Genomic and transcriptomic profiling of glioblastoma with oligodendroglioma component reveals distinct molecular subgroups. Acta Neuropathologica Communications. 4(1). 4–4. 21 indexed citations

Dunn, William D., Anita Burgun, Marie‐Odile Krebs, & Bastien Rance. (2016). Exploring and visualizing multidimensional data in translational research platforms. Briefings in Bioinformatics. 18(6). bbw080–bbw080. 24 indexed citations

Gutman, David A., William D. Dunn, Patrick Großmann, et al.. (2015). Somatic mutations associated with MRI-derived volumetric features in glioblastoma. Neuroradiology. 57(12). 1227–1237. 73 indexed citations

Velazquez, Emmanuel Rios, Raphael Meier, William D. Dunn, et al.. (2015). Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. Scientific Reports. 5(1). 68 indexed citations

10.

Cooper, Lee, et al.. (2015). Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images. Laboratory Investigation. 95(4). 366–376. 42 indexed citations

11.

Gutman, David A., William D. Dunn, Milota Kaluzová, et al.. (2015). Abstract 415: Differential expression of therapeutic targets across tumor micro-environments and at infiltrative margins in glioblastoma. Cancer Research. 75(15_Supplement). 415–415. 1 indexed citations

12.

Dunn, William D., Marla Gearing, Yuna Park, et al.. (2015). Applicability of digital analysis and imaging technology in neuropathology assessment. Neuropathology. 36(3). 270–282. 18 indexed citations

13.

Chen, Robert S., et al.. (2015). explICU: A web-based visualization and predictive modeling toolkit for mortality in intensive care patients. PubMed. 2015. 6830–6833. 5 indexed citations

14.

Gutman, David A., et al.. (2014). Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers in Neuroinformatics. 8. 53–53. 8 indexed citations

15.

Corsino, Patrick, Bradley J. Davis, Peter Nørgaard, et al.. (2008). Mammary Tumors Initiated by Constitutive Cdk2 Activation Contain an Invasive Basal-like Component. Neoplasia. 10(11). 1240–1252. 26 indexed citations

16.

Fisher, Robert A. & William D. Dunn. (1990). Peacetime Surgery in the Aircraft Carrier Battle Group. Military Medicine. 155(7). 332–334. 3 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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