Atchar Sudhyadhom

2.0k total citations
62 papers, 1.4k citations indexed

About

Atchar Sudhyadhom is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Atchar Sudhyadhom has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiation, 30 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Atchar Sudhyadhom's work include Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (18 papers) and Medical Imaging Techniques and Applications (14 papers). Atchar Sudhyadhom is often cited by papers focused on Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (18 papers) and Medical Imaging Techniques and Applications (14 papers). Atchar Sudhyadhom collaborates with scholars based in United States, Germany and United Kingdom. Atchar Sudhyadhom's co-authors include Michael S. Okun, Kelly D. Foote, Frank J. Bova, Ihtsham Haq, Bruce Crosson, Keith McGregor, Charles E. Jacobson, Keith D. White, Ramon L. Rodriguez and Pamela Zeilman and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and NeuroImage.

In The Last Decade

Atchar Sudhyadhom

60 papers receiving 1.4k citations

Peers

Atchar Sudhyadhom
David J. Anschel United States
Antonio Meola United States
Andras A. Kemeny United Kingdom
Stephan J. Goerss United States
Atchar Sudhyadhom
Citations per year, relative to Atchar Sudhyadhom Atchar Sudhyadhom (= 1×) peers Holger Brockmann

Countries citing papers authored by Atchar Sudhyadhom

Since Specialization
Citations

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

Fields of papers citing papers by Atchar Sudhyadhom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atchar Sudhyadhom

This figure shows the co-authorship network connecting the top 25 collaborators of Atchar Sudhyadhom. A scholar is included among the top collaborators of Atchar Sudhyadhom 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 Atchar Sudhyadhom. Atchar Sudhyadhom 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.
Han, Zhaohui, et al.. (2025). Feasibility study of a general model for synthetic CT generation in MRI-guided extracranial radiotherapy. Biomedical Physics & Engineering Express. 11(3). 35028–35028.
2.
Yang, David D., Leslie K. Lee, James Man Git Tsui, et al.. (2024). AI-derived Tumor Volume from Multiparametric MRI and Outcomes in Localized Prostate Cancer. Radiology. 313(1). e240041–e240041. 8 indexed citations
3.
Lee, Grace, D. Ferguson, Elizabeth Huynh, et al.. (2024). Lung sparing in MR-guided non-adaptive SBRT treatment of peripheral lung tumors. Biomedical Physics & Engineering Express. 10(4). 45048–45048. 1 indexed citations
5.
Chang, Chih‐Wei, Yuan Gao, Jessica Scholey, et al.. (2023). Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning. British Journal of Radiology. 96(1152). 20220907–20220907. 7 indexed citations
6.
Scholey, Jessica, Evangelia Kaza, Thomas Benkert, et al.. (2023). Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination using ex vivo animal tissues and tissue-mimicking phantoms. Physics in Medicine and Biology. 68(17). 175033–175033. 2 indexed citations
7.
Bredfeldt, Jeremy S., Evangelia Kaza, Martin Requardt, et al.. (2022). Patient specific distortion detection and mitigation in MR images used for stereotactic radiosurgery. Physics in Medicine and Biology. 67(6). 65009–65009. 3 indexed citations
8.
Nenoff, Lena, Arthur Lalonde, Konrad P. Nesteruk, et al.. (2022). Integrating Structure Propagation Uncertainties in the Optimization of Online Adaptive Proton Therapy Plans. Cancers. 14(16). 3926–3926. 8 indexed citations
9.
Scholey, Jessica, Vasant Kearney, Sue S. Yom, et al.. (2022). Improved accuracy of relative electron density and proton stopping power ratio through CycleGAN machine learning. Physics in Medicine and Biology. 67(10). 105001–105001. 3 indexed citations
10.
Bortfeld, Thomas, et al.. (2022). Validation of prompt gamma-ray spectroscopy for proton range verification in tissue-mimicking and porcine samples. Physics in Medicine and Biology. 67(20). 205006–205006. 7 indexed citations
11.
Yom, Sue S., Mekhail Anwar, Dilini Pinnaduwage, et al.. (2015). Is the Liver a Static Organ: Intraorgan Deformation Quantified Through Fiducial Displacement on 4DCT. International Journal of Radiation Oncology*Biology*Physics. 93(3). E616–E616. 1 indexed citations
12.
Cunha, J. Adam M., Rajni Sethi, Atchar Sudhyadhom, et al.. (2015). Evaluation of PC‐ISO for customized, 3D printed, gynecologic HDR brachytherapy applicators. Journal of Applied Clinical Medical Physics. 16(1). 246–253. 61 indexed citations
13.
Triplett, William, Atchar Sudhyadhom, Joseph M. Gullett, et al.. (2014). Broca’s area – Thalamic connectivity. Brain and Language. 141. 80–88. 48 indexed citations
14.
McGregor, Keith, Joe R. Nocera, Atchar Sudhyadhom, et al.. (2013). Effects of Aerobic Fitness on Aging-Related Changes of Interhemispheric Inhibition and Motor Performance. Frontiers in Aging Neuroscience. 5. 66–66. 41 indexed citations
15.
Ford, Anastasia, William Triplett, Atchar Sudhyadhom, et al.. (2013). Broca's area and its striatal and thalamic connections: a diffusion-MRI tractography study. Frontiers in Neuroanatomy. 7. 8–8. 83 indexed citations
16.
Haq, Ihtsham, Kelly D. Foote, Wayne K. Goodman, et al.. (2010). A Case of Mania following Deep Brain Stimulation for Obsessive Compulsive Disorder. Stereotactic and Functional Neurosurgery. 88(5). 322–328. 55 indexed citations
17.
Sudhyadhom, Atchar, Ihtsham Haq, Kelly D. Foote, Michael S. Okun, & Frank J. Bova. (2009). A high resolution and high contrast MRI for differentiation of subcortical structures for DBS targeting: The Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR). NeuroImage. 47. T44–T52. 175 indexed citations
18.
Foote, Kelly D., Hubert H. Fernandez, Atchar Sudhyadhom, et al.. (2008). REOPERATION FOR SUBOPTIMAL OUTCOMES AFTER DEEP BRAIN STIMULATION SURGERY. Neurosurgery. 63(4). 754–761. 124 indexed citations
19.
Sudhyadhom, Atchar, Frank J. Bova, Kelly D. Foote, et al.. (2007). Limbic, associative, and motor territories within the targets for deep brain stimulation: Potential clinical implications. Current Neurology and Neuroscience Reports. 7(4). 278–289. 42 indexed citations
20.
Foote, Kelly D., Ramon L. Rodriguez, Hubert H. Fernandez, et al.. (2006). Deep Brain Stimulation of the Internal Segment of the Globus Pallidus in Delayed Runaway Dyskinesia. Archives of Neurology. 63(8). 1181–1181. 20 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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