Jon Whitney

1.5k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Jon Whitney is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jon Whitney has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Jon Whitney's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Nanoplatforms for cancer theranostics (5 papers) and AI in cancer detection (4 papers). Jon Whitney is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Nanoplatforms for cancer theranostics (5 papers) and AI in cancer detection (4 papers). Jon Whitney collaborates with scholars based in United States, Colombia and Italy. Jon Whitney's co-authors include Marissa Nichole Rylander, Suzy V. Torti, Heather Hatcher, Cara F. Buchanan, Christopher G. Rylander, Bryce M. Whited, Saugata Sarkar, Anant Madabhushi, Matthias Hofmann and Yong Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Biomaterials.

In The Last Decade

Jon Whitney

18 papers receiving 1.1k citations

Hit Papers

Association of Peritumoral Radiomics With Tumor Biology a... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Whitney United States 12 636 357 279 260 161 18 1.1k
Dexin Yu China 20 504 0.8× 292 0.8× 283 1.0× 416 1.6× 30 0.2× 134 1.5k
Weixiang Song China 13 521 0.8× 162 0.5× 140 0.5× 227 0.9× 50 0.3× 25 835
Kaicheng Liang United States 24 902 1.4× 184 0.5× 209 0.7× 181 0.7× 20 0.1× 57 1.3k
Guang Xu China 14 763 1.2× 248 0.7× 425 1.5× 135 0.5× 22 0.1× 42 1.1k
Sergio Dromi United States 11 697 1.1× 327 0.9× 169 0.6× 318 1.2× 31 0.2× 15 1.1k
Christian Behrenbruch United Kingdom 10 498 0.8× 239 0.7× 60 0.2× 64 0.2× 140 0.9× 17 930
Hailin Zhou China 17 528 0.8× 70 0.2× 254 0.9× 139 0.5× 20 0.1× 39 925
Anne Rix Germany 24 939 1.5× 435 1.2× 224 0.8× 210 0.8× 10 0.1× 60 1.6k
Lisa E. Cole United States 16 459 0.7× 180 0.5× 211 0.8× 213 0.8× 14 0.1× 20 1.0k
Haohao Yin China 19 1.4k 2.2× 83 0.2× 625 2.2× 351 1.4× 38 0.2× 48 1.9k

Countries citing papers authored by Jon Whitney

Since Specialization
Citations

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

Fields of papers citing papers by Jon Whitney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Whitney

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

All Works

18 of 18 papers shown
1.
Whitney, Jon, Benita Tamrazi, Debra Hawes, et al.. (2022). Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary Findings. Journal of Pathology Informatics. 13. 100090–100090. 7 indexed citations
2.
Bhargava, Hersh K., Patrick Leo, Robin Elliott, et al.. (2020). Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients. Clinical Cancer Research. 26(8). 1915–1923. 42 indexed citations
3.
Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →
4.
Whitney, Jon, Kaustav Bera, Hannah Gilmore, et al.. (2019). Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings. Breast Cancer Research. 21(1). 114–114. 17 indexed citations
5.
Whitney, Jon, Germán Corredor, Andrew Janowczyk, et al.. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer. 18(1). 610–610. 74 indexed citations
6.
Bhargava, Hersh K., Patrick Leo, Robin Elliott, et al.. (2018). Computer-extracted stromal features of African-Americans versus Caucasians from H&E slides and impact on prognosis of biochemical recurrence.. Journal of Clinical Oncology. 36(15_suppl). 12075–12075. 2 indexed citations
7.
Corredor, Germán, et al.. (2017). Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features. Journal of Medical Imaging. 4(2). 21105–21105. 5 indexed citations
9.
Ma, Yingfang, Jon Whitney, Rudolf Podgornik, et al.. (2014). Determination of the second virial coefficient of bovine serum albumin under varying pH and ionic strength by composition-gradient multi-angle static light scattering. Journal of Biological Physics. 41(1). 85–97. 32 indexed citations
10.
Whitney, Jon, Matthew R. DeWitt, Bryce M. Whited, et al.. (2013). 3D viability imaging of tumor phantoms treated with single-walled carbon nanohorns and photothermal therapy. Nanotechnology. 24(27). 275102–275102. 19 indexed citations
11.
Whitney, Jon, et al.. (2013). Arrhenius parameter determination as a function of heating method and cellular microenvironment based on spatial cell viability analysis. International Journal of Hyperthermia. 29(4). 281–295. 7 indexed citations
12.
Whitney, Jon, Suzy V. Torti, Alexander A. Puretzky, et al.. (2012). Spatial and Temporal Measurements of Temperature and Cell Viability in Response to Nanoparticle-Mediated Photothermal Therapy. Nanomedicine. 7(11). 1729–1742. 14 indexed citations
13.
Whitney, Jon, Saugata Sarkar, Jianfei Zhang, et al.. (2011). Single walled carbon nanohorns as photothermal cancer agents. Lasers in Surgery and Medicine. 43(1). 43–51. 64 indexed citations
14.
Rylander, Marissa Nichole, R. Jason Stafford, John D. Hazle, Jon Whitney, & Kenneth R. Diller. (2011). Heat shock protein expression and temperature distribution in prostate tumours treated with laser irradiation and nanoshells. International Journal of Hyperthermia. 27(8). 791–801. 17 indexed citations
15.
Whited, Bryce M., Jon Whitney, Matthias Hofmann, Yong Xu, & Marissa Nichole Rylander. (2010). Pre-osteoblast infiltration and differentiation in highly porous apatite-coated PLLA electrospun scaffolds. Biomaterials. 32(9). 2294–2304. 124 indexed citations
16.
Sarkar, Saugata, Cara F. Buchanan, Christopher Szot, et al.. (2010). Photothermal Response of Human and Murine Cancer Cells to Multiwalled Carbon Nanotubes after Laser Irradiation. Cancer Research. 70(23). 9855–9864. 209 indexed citations
18.
Burke, Andrew R., Xuanfeng Ding, Ravi Singh, et al.. (2009). Long-term survival following a single treatment of kidney tumors with multiwalled carbon nanotubes and near-infrared radiation. Proceedings of the National Academy of Sciences. 106(31). 12897–12902. 267 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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