Tucker Netherton

1.6k total citations
51 papers, 702 citations indexed

About

Tucker Netherton is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tucker Netherton has authored 51 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiation, 28 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tucker Netherton's work include Advanced Radiotherapy Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Radiation Therapy and Dosimetry (11 papers). Tucker Netherton is often cited by papers focused on Advanced Radiotherapy Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Radiation Therapy and Dosimetry (11 papers). Tucker Netherton collaborates with scholars based in United States, South Africa and United Kingdom. Tucker Netherton's co-authors include Laurence E. Court, Carlos Cárdenas, Dong Joo Rhee, Peter Balter, Skylar Gay, Song Gao, Ann H. Klopp, Yuting Li, P Nitsch and Beth M. Beadle and has published in prestigious journals such as Nature Communications, Physical Review B and Scientific Reports.

In The Last Decade

Tucker Netherton

47 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tucker Netherton United States 16 419 398 223 135 127 51 702
Hannah Lee United States 9 168 0.4× 272 0.7× 184 0.8× 21 0.2× 156 1.2× 22 442
Hui Guan China 12 92 0.2× 142 0.4× 35 0.2× 7 0.1× 40 0.3× 28 308
Hsiao‐Ming Lu United States 15 479 1.1× 167 0.4× 446 2.0× 51 0.4× 109 0.9× 41 688
R. Speight United Kingdom 16 527 1.3× 602 1.5× 211 0.9× 8 0.1× 191 1.5× 46 824
Gage Redler United States 15 160 0.4× 326 0.8× 122 0.5× 76 0.6× 92 0.7× 61 560
B. W. Wessels United States 15 413 1.0× 802 2.0× 317 1.4× 18 0.1× 80 0.6× 40 1.1k
Brian Neal United States 8 73 0.2× 57 0.1× 84 0.4× 256 1.9× 20 0.2× 12 398
Slav Yartsev Canada 22 946 2.3× 726 1.8× 834 3.7× 33 0.2× 227 1.8× 75 1.4k
Dongho Shin South Korea 11 400 1.0× 226 0.6× 254 1.1× 5 0.0× 66 0.5× 51 559
Abdulhamid Chaikh France 9 225 0.5× 170 0.4× 210 0.9× 3 0.0× 33 0.3× 44 339

Countries citing papers authored by Tucker Netherton

Since Specialization
Citations

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

Fields of papers citing papers by Tucker Netherton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tucker Netherton

This figure shows the co-authorship network connecting the top 25 collaborators of Tucker Netherton. A scholar is included among the top collaborators of Tucker Netherton 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 Tucker Netherton. Tucker Netherton 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.
Dykstra, Michael, Tucker Netherton, Peter Balter, et al.. (2025). A Pilot Study of Computed Tomography Simulator Downtime at an African Cancer Conference: Survey Results From AORTIC 2023. International Journal of Radiation Oncology*Biology*Physics. 122(5). 1090–1094.
2.
Gay, Skylar, Ethan B. Ludmir, Yao Zhao, et al.. (2025). Uncertainty-guided pancreatic tumor auto-segmentation with Tversky ensemble. Physics and Imaging in Radiation Oncology. 34. 100740–100740.
3.
Netherton, Tucker, et al.. (2025). External validation of an algorithm to detect vertebral level mislabeling and autocontouring errors. Physics and Imaging in Radiation Oncology. 34. 100738–100738. 1 indexed citations
4.
Elsayes, Khaled M., et al.. (2025). Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet. Lecture notes in computer science. 15273. 241–249.
5.
Nguyen, Callistus, Steven J. Frank, Adam S. Garden, et al.. (2024). Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy. Physics and Imaging in Radiation Oncology. 29. 100540–100540. 2 indexed citations
6.
Patel, Tina, Tucker Netherton, Christoph Trauernicht, et al.. (2024). Autocontouring of primary lung lesions and nodal disease for radiotherapy based only on computed tomography images. Physics and Imaging in Radiation Oncology. 31. 100637–100637. 2 indexed citations
7.
Savannah, Kari J. Brewer, Kristy K. Brock, Tiffany L. Calderone, et al.. (2024). Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies. Scientific Reports. 14(1). 20988–20988. 2 indexed citations
8.
Wahid, Kareem A., Carlos Cárdenas, Tucker Netherton, et al.. (2024). Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification. Advances in Radiation Oncology. 9(7). 101521–101521. 3 indexed citations
9.
Netherton, Tucker, Anna Lee, Skylar Gay, et al.. (2024). Landmark‐based auto‐contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer. Journal of Applied Clinical Medical Physics. 25(9). e14474–e14474. 1 indexed citations
11.
Burger, Hester, Callistus Nguyen, Arnold C. Paulino, et al.. (2023). Validation of an automated contouring and treatment planning tool for pediatric craniospinal radiation therapy. Frontiers in Oncology. 13. 1221792–1221792.
12.
Nguyen, Callistus, Jeannette Parkes, Hester Burger, et al.. (2023). Automating the treatment planning process for 3D‐conformal pediatric craniospinal irradiation therapy. Pediatric Blood & Cancer. 70(3). e30164–e30164. 11 indexed citations
13.
Netherton, Tucker, et al.. (2023). Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. Lecture notes in computer science. 14291. 147–156. 2 indexed citations
14.
Wang, Xin Wei, Peter S.N. van Rossum, Yan Chu, et al.. (2023). Severe Lymphopenia During Chemoradiation Therapy for Esophageal Cancer: Comprehensive Analysis of Randomized Phase 2B Trial of Proton Beam Therapy Versus Intensity Modulated Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 118(2). 368–377. 13 indexed citations
15.
Anakwenze, Chidinma P., Yao Zhao, Ethan B. Ludmir, et al.. (2022). Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images. Scientific Reports. 12(1). 19093–19093. 19 indexed citations
16.
Owens, Constance A., Choonsik Lee, Susan A. Smith, et al.. (2021). Body region-specific 3D age-scaling functions for scaling whole-body computed tomography anatomy for pediatric late effects studies. Biomedical Physics & Engineering Express. 8(2). 25010–25010. 1 indexed citations
17.
Gay, Skylar, et al.. (2021). Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture. Medical Physics. 48(9). 5567–5573. 60 indexed citations
18.
Netherton, Tucker, Dong Joo Rhee, Carlos Cárdenas, et al.. (2020). Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images. Medical Physics. 47(11). 5592–5608. 16 indexed citations
19.
Netherton, Tucker, Yuting Li, P Nitsch, et al.. (2018). Interplay effect on a 6‐MV flattening‐filter‐free linear accelerator with high dose rate and fast multi‐leaf collimator motion treating breast and lung phantoms. Medical Physics. 45(6). 2369–2376. 26 indexed citations
20.
Wang, Miaoyin, Chen Fang, Dao‐Xin Yao, et al.. (2011). Spin waves and magnetic exchange interactions in insulating Rb0.89Fe1.58Se2. Nature Communications. 2(1). 580–580. 70 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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