Jon Whitney

1.5k citations
18 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

Jon Whitney

18 papers receiving 1.1k citations

Hit Papers

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer 2019 · 235 citations
2350+2+4Years since publication50100150200

Peers

Jon Whitney
Comparison fields: 5 of 95
  • Biomaterials 260
  • Radiology, Nuclear Medicine and Imaging 357
  • Biomedical Engineering 636
  • Health Informatics 15
  • Materials Chemistry 279
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Dexin Yu China
Weixiang Song China
Anne Rix Germany
Haohao Yin China
Sergio Dromi United States
Danli Sheng China
Nutte Teraphongphom United States
Guobin Hong China
Enze Qu China
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Jon Whitney relative to Dexin Yu China Dexin Yu's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jon Whitney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Whitney Line = papers co-authored together Jon Whitney links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009267
2
Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer
Hit paper breakdown →
2019235
3 2010209
4 2010124
5 201874
6 201164
7 202042
8 201432
9 201319
10 201917
11 201117
12 201214
13 20227
14 20137
15 20175
16 20103
17 20182
18 20161

About Jon Whitney

Jon Whitney is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Laser-Ablation Synthesis of Nanoparticles (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Heat shock proteins research (2 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Biomaterials (260 citations), Radiology, Nuclear Medicine and Imaging (357 citations), Biomedical Engineering (636 citations), Health Informatics (15 citations) and Materials Chemistry (279 citations). Jon Whitney has collaborated with scholars based in United States, Colombia and Italy. Frequent 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. Their work appears in journals such as International Journal of Hyperthermia, Clinical Cancer Research, JAMA Network Open, Nanomedicine and BMC Cancer.

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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