G Sharp

9.4k total citations · 2 hit papers
193 papers, 6.2k citations indexed

About

G Sharp is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G Sharp has authored 193 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Radiation, 113 papers in Radiology, Nuclear Medicine and Imaging and 105 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G Sharp's work include Advanced Radiotherapy Techniques (131 papers), Radiation Therapy and Dosimetry (80 papers) and Medical Imaging Techniques and Applications (77 papers). G Sharp is often cited by papers focused on Advanced Radiotherapy Techniques (131 papers), Radiation Therapy and Dosimetry (80 papers) and Medical Imaging Techniques and Applications (77 papers). G Sharp collaborates with scholars based in United States, Italy and Switzerland. G Sharp's co-authors include Steve Jiang, D.K. Wehe, S.W. Lee, Harald Paganetti, Hiroki Shirato, Brian Winey, Clemens Grassberger, George T.Y. Chen, David P. Gierga and S Dowdell and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

G Sharp

187 papers receiving 6.1k citations

Hit Papers

ICP registration using invariant features 2002 2026 2010 2018 2002 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Sharp United States 46 4.4k 3.7k 3.2k 1.3k 932 193 6.2k
Yang Lei United States 39 1.7k 0.4× 3.6k 1.0× 1.0k 0.3× 1.8k 1.4× 1.8k 1.9× 379 6.2k
Tonghe Wang United States 37 1.6k 0.4× 3.4k 0.9× 895 0.3× 1.7k 1.3× 1.5k 1.6× 222 4.9k
Xun Jia United States 37 2.7k 0.6× 3.3k 0.9× 1.7k 0.5× 1.7k 1.4× 393 0.4× 240 4.9k
Dan Ruan United States 32 1.9k 0.4× 1.8k 0.5× 1.4k 0.4× 576 0.5× 322 0.3× 193 3.2k
Zhengrong Liang United States 41 563 0.1× 4.3k 1.2× 971 0.3× 2.6k 2.1× 1.4k 1.6× 286 5.9k
Lena Maier‐Hein Germany 34 257 0.1× 1.4k 0.4× 508 0.2× 1.6k 1.3× 1.3k 1.4× 171 4.3k
Julia A. Schnabel United Kingdom 31 431 0.1× 2.6k 0.7× 428 0.1× 1.0k 0.8× 2.1k 2.2× 188 4.8k
Pretesh Patel United States 33 949 0.2× 1.4k 0.4× 1.3k 0.4× 636 0.5× 596 0.6× 180 3.1k
Jan‐Jakob Sonke Netherlands 53 8.4k 1.9× 7.1k 1.9× 6.1k 1.9× 1.9k 1.5× 278 0.3× 353 10.3k
Jürgen Hesser Germany 23 465 0.1× 561 0.2× 611 0.2× 556 0.4× 656 0.7× 205 3.0k

Countries citing papers authored by G Sharp

Since Specialization
Citations

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

Fields of papers citing papers by G Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of G Sharp. A scholar is included among the top collaborators of G Sharp 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 G Sharp. G Sharp 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.
Sharp, G, et al.. (2025). Probabilistic clinical target definition with nearest neighbor correlation. Physics in Medicine and Biology. 71(1). 15031–15031.
2.
Bridge, Christopher P., et al.. (2024). Diffusion tensor transformation for personalizing target volumes in radiation therapy. Medical Image Analysis. 97. 103271–103271. 1 indexed citations
3.
Chen, Yen‐Lin, et al.. (2024). Integrating muscle fiber orientation from visible human data into radiotherapy target volumes. Physics in Medicine and Biology. 69(14). 145006–145006. 1 indexed citations
4.
Sharp, G, et al.. (2024). An operator-independent quality assurance system for automatically generated structure sets. Physics in Medicine and Biology. 69(17). 175003–175003. 3 indexed citations
5.
Bridge, Christopher P., G Sharp, Sune Nørhøj Jespersen, et al.. (2024). Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients. Physics and Imaging in Radiation Oncology. 33. 100688–100688.
7.
Lalonde, Arthur, Konrad P. Nesteruk, Hoyeon Lee, et al.. (2023). Large anatomical changes in head-and-neck cancers – A dosimetric comparison of online and offline adaptive proton therapy. Clinical and Translational Radiation Oncology. 40. 100625–100625. 17 indexed citations
8.
Nesteruk, Konrad P., G Sharp, Arthur Lalonde, et al.. (2022). Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers. Cancers. 14(20). 5155–5155. 9 indexed citations
9.
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
10.
Lalonde, Arthur, G Sharp, Clemens Grassberger, et al.. (2021). Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy. Physics in Medicine and Biology. 66(5). 55023–55023. 45 indexed citations
11.
Tang, Jintian, et al.. (2020). A new respiratory monitor system for four-dimensional computed tomography by measuring the pressure change on the back of body. British Journal of Radiology. 93(1108). 20190303–20190303.
12.
Mazur, Thomas R., et al.. (2019). Intra-fraction motion prediction in MRI-guided radiation therapy using Markov processes. Physics in Medicine and Biology. 64(19). 195006–195006. 3 indexed citations
13.
Zwart, T., James Cooley, Kai Huang, et al.. (2018). A single detector energy-resolved proton radiography system: a proof of principle study by Monte Carlo simulations. Physics in Medicine and Biology. 64(2). 25016–25016. 8 indexed citations
14.
Bian, Junguo, et al.. (2016). Investigation of cone-beam CT image quality trade-off for image-guided radiation therapy. Physics in Medicine and Biology. 61(9). 3317–3346. 5 indexed citations
15.
Rit, Simon, et al.. (2014). The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK). Journal of Physics Conference Series. 489. 12079–12079. 164 indexed citations
16.
Wang, Mengjiao, et al.. (2014). 2D/4D marker-free tumor tracking using 4D CBCT as the reference image. Physics in Medicine and Biology. 59(9). 2219–2233. 13 indexed citations
17.
Winey, Brian, G Sharp, & Marc R. Bussière. (2010). A fast double template convolution isocenter evaluation algorithm with subpixel accuracy. Medical Physics. 38(1). 223–227. 22 indexed citations
18.
Seco, Joao, G Sharp, Ziji Wu, et al.. (2007). Dosimetric impact of motion in free‐breathing and gated lung radiotherapy: A 4D Monte Carlo study of intrafraction and interfraction effects. Medical Physics. 35(1). 356–366. 59 indexed citations
19.
Ohno‐Machado, Lucila, Aziz A. Boxwala, Jeanne Guillemin, et al.. (1998). Linking Health Education and Health Care Service Information via the WWW: The HealthAware Project. PubMed Central. 1050–1050. 1 indexed citations
20.
Sharp, G, et al.. (1982). An Expert Consultant System in Rheumatology: AI/RHEUM.. Annual Symposium on Computer Application in Medical Care. 748–752. 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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