P. T. Teo

590 total citations
30 papers, 403 citations indexed

About

P. T. Teo is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, P. T. Teo has authored 30 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiation, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Aerospace Engineering. Recurrent topics in P. T. Teo's work include Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Antenna Design and Analysis (8 papers). P. T. Teo is often cited by papers focused on Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Antenna Design and Analysis (8 papers). P. T. Teo collaborates with scholars based in United States, Singapore and Canada. P. T. Teo's co-authors include Stephen Pistorius, Mohamed E. Abazeed, Jan H. Beumer, Phuoc T. Tran, Greg M. Delgoffe, Brian F. Kiesel, Mark J. O’Connor, Thomas P. Conrads, Frank P. Vendetti and Robert L. Ferris and has published in prestigious journals such as Journal of Clinical Investigation, Applied Physics Letters and Scientific Reports.

In The Last Decade

P. T. Teo

27 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. T. Teo United States 10 116 112 99 85 79 30 403
Hyunuk Jung South Korea 11 42 0.4× 233 2.1× 128 1.3× 68 0.8× 49 0.6× 31 458
T. Ström United States 11 281 2.4× 62 0.6× 65 0.7× 138 1.6× 58 0.7× 32 448
Vincenzo Salamone Italy 11 108 0.9× 123 1.1× 134 1.4× 174 2.0× 47 0.6× 30 452
Josefin Hartmann Germany 9 68 0.6× 149 1.3× 42 0.4× 79 0.9× 44 0.6× 16 416
Hubert S. Gabryś Switzerland 10 99 0.9× 394 3.5× 286 2.9× 346 4.1× 19 0.2× 26 651
Kaile Li China 10 61 0.5× 118 1.1× 90 0.9× 113 1.3× 37 0.5× 41 489
Haibo Lin United States 17 42 0.4× 218 1.9× 591 6.0× 609 7.2× 51 0.6× 69 801
Christopher Marshall United Kingdom 15 93 0.8× 307 2.7× 80 0.8× 190 2.2× 39 0.5× 58 700
Stefano Rivetti Italy 14 30 0.3× 206 1.8× 43 0.4× 375 4.4× 71 0.9× 32 500
Dino Cordini Germany 15 61 0.5× 203 1.8× 52 0.5× 77 0.9× 89 1.1× 37 604

Countries citing papers authored by P. T. Teo

Since Specialization
Citations

This map shows the geographic impact of P. T. Teo'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 P. T. Teo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. T. Teo more than expected).

Fields of papers citing papers by P. T. Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. T. Teo. 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 P. T. Teo. The network helps show where P. T. Teo may publish in the future.

Co-authorship network of co-authors of P. T. Teo

This figure shows the co-authorship network connecting the top 25 collaborators of P. T. Teo. A scholar is included among the top collaborators of P. T. Teo 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 P. T. Teo. P. T. Teo 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.
Sarkar, Sagnik, P. T. Teo, & Mohamed E. Abazeed. (2025). Deep learning for automated, motion-resolved tumor segmentation in radiotherapy. npj Precision Oncology. 9(1). 173–173. 2 indexed citations
2.
Zheng, Shuhua, Yi‐Rong Liu, P. T. Teo, et al.. (2025). A deep learning model for preoperative risk stratification of pancreatic ductal adenocarcinoma based on genomic predictors of liver metastasis. European Journal of Cancer. 226. 115608–115608. 1 indexed citations
3.
Liu, Yi, et al.. (2024). Prometheus: A Risk Classification Deep Learning Model for Predicting Liver Metastases from Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). e642–e642.
4.
Teo, P. T., Kevin Rogacki, Mahesh Gopalakrishnan, et al.. (2024). Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection. Clinical and Translational Radiation Oncology. 46. 100747–100747. 9 indexed citations
5.
Rogacki, Kevin, P. T. Teo, Mahesh Gopalakrishnan, et al.. (2024). Clinical, Pathologic, and Dosimetric Predictors of Head and Neck Lymphedema Following Definitive or Adjuvant Radiation Therapy for Head and Neck Cancer. Advances in Radiation Oncology. 9(9). 101545–101545. 4 indexed citations
6.
Zou, Zhiqiang, et al.. (2024). Optimizing Deep Learning Models: CNN-RNN Augmentation with Grad-CAM Analysis for Predicting Pneumonitis from Pre-Treatment CT Images. International Journal of Radiation Oncology*Biology*Physics. 120(2). e670–e670. 1 indexed citations
7.
Zheng, Shuhua, Nikhil Ram-Mohan, Timothy L. Sita, et al.. (2024). GlioPredictor: a deep learning model for identification of high-risk adult IDH-mutant glioma towards adjuvant treatment planning. Scientific Reports. 14(1). 2126–2126. 3 indexed citations
8.
Teo, P. T., et al.. (2023). Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems. JCO Clinical Cancer Informatics. 7(7). e2200100–e2200100. 2 indexed citations
9.
Teo, P. T., Amishi Bajaj, Bin Lou, et al.. (2022). Deterministic small‐scale undulations of image‐based risk predictions from the deep learning of lung tumors in motion. Medical Physics. 49(11). 7347–7356. 5 indexed citations
10.
Teo, P. T., et al.. (2019). Reducing the tracking drift of an uncontoured tumor for a portal-image-based dynamically adapted conformal radiotherapy treatment. Medical & Biological Engineering & Computing. 57(8). 1657–1672. 7 indexed citations
11.
Teo, P. T., et al.. (2019). Evaluating a potential technique with local optical flow vectors for automatic organ-at-risk (OAR) intrusion detection and avoidance during radiotherapy. Physics in Medicine and Biology. 64(14). 145008–145008. 6 indexed citations
12.
Teo, P. T., et al.. (2019). Application of TG‐100 risk analysis methods to the acceptance testing and commissioning process of a Halcyon linear accelerator. Medical Physics. 46(3). 1341–1354. 19 indexed citations
13.
14.
Vendetti, Frank P., David A. Clump, P. T. Teo, et al.. (2018). ATR kinase inhibitor AZD6738 potentiates CD8+ T cell–dependent antitumor activity following radiation. Journal of Clinical Investigation. 128(9). 3926–3940. 141 indexed citations
15.
Teo, P. T., et al.. (2013). Tracking lung tumour motion using a dynamically weighted optical flow algorithm and electronic portal imaging device. Measurement Science and Technology. 24(7). 74012–74012. 15 indexed citations
16.
Teo, P. T., et al.. (2002). Linear scanning array with bulk ferroelectric-integrated feed network. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 49(5). 558–564. 2 indexed citations
17.
Teo, P. T., et al.. (2002). A compact and broadband microstrip patch antenna. 30. 219–222. 22 indexed citations
18.
Teo, P. T., et al.. (2002). Development of bow‐tie antenna with an orthogonal feed. Microwave and Optical Technology Letters. 35(4). 255–257. 4 indexed citations
19.
Teo, P. T.. (2000). CHARACTERIZATION AND APPLICATION OF FERROELECTRIC PHASE SHIFTERS FOR PHASED ARRAY SCANNING. 1 indexed citations
20.
Teo, P. T., K. J. Vinoy, K. A. Jose, et al.. (2000). Design and Development of Tunable Multi-Layer Smart Antennas Using Ferroelectric Materials. Journal of Intelligent Material Systems and Structures. 11(4). 294–299. 3 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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