Kyle C. Cuneo

4.6k total citations
111 papers, 2.4k citations indexed

About

Kyle C. Cuneo is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Kyle C. Cuneo has authored 111 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hepatology, 35 papers in Radiology, Nuclear Medicine and Imaging and 31 papers in Oncology. Recurrent topics in Kyle C. Cuneo's work include Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Advanced Radiotherapy Techniques (22 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Kyle C. Cuneo is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Advanced Radiotherapy Techniques (22 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Kyle C. Cuneo collaborates with scholars based in United States, Canada and South Korea. Kyle C. Cuneo's co-authors include Theodore S. Lawrence, Dennis E. Hallahan, Ling Geng, Allie Fu, Dawn Owen, Matthew J. Schipper, Latifa A. Bazzi, Mary Feng, Meredith A. Morgan and Tianxiang Tu and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and Analytical Chemistry.

In The Last Decade

Kyle C. Cuneo

99 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle C. Cuneo United States 29 773 666 648 575 571 111 2.4k
Secondo Lastoria Italy 33 581 0.8× 1.3k 2.0× 496 0.8× 256 0.4× 991 1.7× 159 3.5k
Brian G. Czito United States 32 519 0.7× 2.0k 3.0× 1.4k 2.2× 307 0.5× 524 0.9× 155 3.6k
Anthony Brade Canada 31 492 0.6× 699 1.0× 1.3k 2.1× 524 0.9× 699 1.2× 105 2.8k
Kathy Han Canada 22 772 1.0× 865 1.3× 459 0.7× 121 0.2× 651 1.1× 102 2.7k
Henrik Roed Denmark 22 309 0.4× 755 1.1× 525 0.8× 229 0.4× 342 0.6× 56 1.8k
Oliver Riesterer Switzerland 29 572 0.7× 621 0.9× 906 1.4× 101 0.2× 1.2k 2.0× 107 2.4k
Xiaomao Guo China 28 502 0.6× 769 1.2× 731 1.1× 85 0.1× 412 0.7× 115 2.2k
Ritsuko Komaki United States 32 634 0.8× 1.2k 1.7× 2.4k 3.7× 129 0.2× 830 1.5× 71 3.7k
Hui Zhu China 31 957 1.2× 1.7k 2.5× 1.1k 1.7× 148 0.3× 580 1.0× 152 3.7k
Keiko Shibuya Japan 27 415 0.5× 569 0.9× 1.5k 2.3× 162 0.3× 817 1.4× 88 2.6k

Countries citing papers authored by Kyle C. Cuneo

Since Specialization
Citations

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

Fields of papers citing papers by Kyle C. Cuneo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle C. Cuneo. 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 Kyle C. Cuneo. The network helps show where Kyle C. Cuneo may publish in the future.

Co-authorship network of co-authors of Kyle C. Cuneo

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

All Works

20 of 20 papers shown
1.
King, Sarah, et al.. (2025). The Use of dSTORM-Based Single Exosome Analysis To Study Tetraspanin Abundance in Extracellular Vesicles. ACS Omega. 10(31). 34659–34665. 1 indexed citations
2.
Ray, Paramita, Shirish Shukla, Yaqing Zhang, et al.. (2025). SMURF2 Facilitates GAP17 Isoform 1 Membrane Displacement to Promote Mutant p53–KRAS Oncogenic Synergy. Molecular Cancer Research. 23(6). 530–541.
3.
Bryant, Alex K., John D. Rice, Neehar D. Parikh, et al.. (2025). The Contribution of Cirrhosis Progression in Liver Dysfunction After Stereotactic Body Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics.
4.
Lu, Zhong‐Lin, Lise Wei, Madhava Aryal, et al.. (2024). PET/CT-Based Absorbed Dose Maps in90Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI. Journal of Nuclear Medicine. 65(8). 1224–1230. 5 indexed citations
5.
Hendren, Samantha, et al.. (2024). Treatment of Locally Recurrent Rectal Cancer. The Cancer Journal. 30(4). 264–271.
6.
Hadley, Scott, Vaibhav Sahai, Filip Bednar, et al.. (2023). Predictors of Acute and Late Toxicity in Patients Receiving Chemoradiation for Unresectable Pancreatic Cancer. Advances in Radiation Oncology. 8(6). 101266–101266. 4 indexed citations
7.
Niraula, Dipesh, Jionghua Jin, Ivo D. Dinov, et al.. (2023). A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS). Scientific Reports. 13(1). 5279–5279. 27 indexed citations
8.
Wei, Lise, Madhava Aryal, Kyle C. Cuneo, et al.. (2023). Deep learning prediction of post‐SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE‐MRI. Medical Physics. 50(9). 5597–5608. 4 indexed citations
9.
Herr, Daniel J., Chang Wang, Mishal Mendiratta‐Lala, et al.. (2023). A Phase II Study of Optimized Individualized Adaptive Radiotherapy for Hepatocellular Carcinoma. Clinical Cancer Research. 29(19). 3852–3858. 3 indexed citations
10.
Brown, Anna M., Yilun Sun, Michelle M. Kim, et al.. (2022). Efficacy and toxicity with radiation field designs and concurrent temozolomide for CNS lymphoma. Neuro-Oncology Practice. 9(6). 536–544. 1 indexed citations
12.
Wei, Lise, Madhava Aryal, M.M. Matuszak, et al.. (2022). The Effect of Stereotactic Body Radiation Therapy for Hepatocellular Cancer on Regional Hepatic Liver Function. International Journal of Radiation Oncology*Biology*Physics. 115(3). 794–802. 8 indexed citations
14.
Wang, Yang, Tae Hyun Kim, Shamileh Fouladdel, et al.. (2019). PD-L1 Expression in Circulating Tumor Cells Increases during Radio(chemo)therapy and Indicates Poor Prognosis in Non-small Cell Lung Cancer. Scientific Reports. 9(1). 566–566. 104 indexed citations
15.
Johansson, Adam, Dawn Owen, Kyle C. Cuneo, et al.. (2018). Quantification of liver function by linearization of a two‐compartment model of gadoxetic acid uptake using dynamic contrast‐enhanced magnetic resonance imaging. NMR in Biomedicine. 31(6). e3913–e3913. 22 indexed citations
16.
Mikell, Justin, Ravi K. Kaza, Peter L. Roberson, et al.. (2018). Impact of 90Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization. EJNMMI Physics. 5(1). 31–31. 6 indexed citations
17.
Cuneo, Kyle C., Meredith A. Morgan, Mary A. Davis, et al.. (2016). Wee1 Kinase Inhibitor AZD1775 Radiosensitizes Hepatocellular Carcinoma Regardless of TP53 Mutational Status Through Induction of Replication Stress. International Journal of Radiation Oncology*Biology*Physics. 95(2). 782–790. 50 indexed citations
18.
Kong, Feng‐Ming, Kyle C. Cuneo, Li Wang, et al.. (2013). Patterns of practice in radiation therapy for non-small cell lung cancer among members of the American Society for Radiation Oncology. Practical Radiation Oncology. 4(2). e133–e141. 14 indexed citations
19.
Cuneo, Kyle C., Jeffrey K. Mito, Jorge M. Ferrer, et al.. (2013). Imaging Primary Mouse Sarcomas After Radiation Therapy Using Cathepsin-Activatable Fluorescent Imaging Agents. International Journal of Radiation Oncology*Biology*Physics. 86(1). 136–142. 17 indexed citations
20.
Cuneo, Kyle C., Ling Geng, Allie Fu, et al.. (2008). SU11248 (Sunitinib) Sensitizes Pancreatic Cancer to the Cytotoxic Effects of Ionizing Radiation. International Journal of Radiation Oncology*Biology*Physics. 71(3). 873–879. 68 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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