Jason Holmes

553 total citations
37 papers, 291 citations indexed

About

Jason Holmes is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason Holmes has authored 37 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiation, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason Holmes's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced Radiotherapy Techniques (10 papers) and Radiation Detection and Scintillator Technologies (9 papers). Jason Holmes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced Radiotherapy Techniques (10 papers) and Radiation Detection and Scintillator Technologies (9 papers). Jason Holmes collaborates with scholars based in United States, China and Switzerland. Jason Holmes's co-authors include Wei Liu, Jiajian Shen, Zhengliang Liu, Yuzhen Ding, Tianming Liu, Terence T. Sio, Jonathan B. Ashman, Lian Zhang, Xiang Li and L.A. McGee and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Jason Holmes

29 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Holmes United States 10 85 73 67 65 57 37 291
Hyosung Cho South Korea 10 155 1.8× 11 0.2× 166 2.5× 5 0.1× 114 2.0× 72 328
M. Abou Dakka Canada 9 18 0.2× 38 0.5× 3 0.0× 27 0.4× 3 0.1× 22 356
Shingo Tamaki Japan 8 99 1.2× 10 0.1× 143 2.1× 30 0.5× 80 389
Ohad Segal Israel 8 20 0.2× 38 0.5× 39 0.6× 6 0.1× 18 284
M. Seimetz Spain 9 198 2.3× 7 0.1× 177 2.6× 55 1.0× 44 380
Eunju Cha South Korea 7 147 1.7× 22 0.3× 18 0.3× 5 0.1× 10 306
Luca Brombal Italy 13 246 2.9× 16 0.2× 292 4.4× 61 1.1× 54 435
A. Ho Netherlands 9 19 0.2× 7 0.1× 43 0.6× 18 0.3× 23 228
O. Zarchin Israel 8 77 0.9× 34 0.5× 16 0.2× 8 0.1× 9 358
Korbinian Mechlem Germany 10 201 2.4× 8 0.1× 111 1.7× 14 0.2× 17 293

Countries citing papers authored by Jason Holmes

Since Specialization
Citations

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

Fields of papers citing papers by Jason Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Holmes

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Holmes. A scholar is included among the top collaborators of Jason Holmes 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 Jason Holmes. Jason Holmes 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.
Hao, Yuexing, et al.. (2025). Large language model integrations in cancer decision-making: a systematic review and meta-analysis. npj Digital Medicine. 8(1). 450–450. 2 indexed citations
2.
Holmes, Jason, Xiaoning Ding, Samir H. Patel, et al.. (2025). Using large language models to automate summarization of CT simulation orders in radiation oncology. Journal of Applied Clinical Medical Physics. 26(11). e70310–e70310.
3.
Sharp, John T., Jason Holmes, Linda Lam, et al.. (2025). Evaluating the Performance of Using Large Language Models to Automate Summarization of CT Simulation Orders in Radiation Oncology. International Journal of Radiation Oncology*Biology*Physics. 123(1). e13–e14.
4.
5.
Hao, Yuexing, Jason Holmes, Alexandra Bennett, et al.. (2025). Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams. PubMed. 3(1). 100198–100198. 4 indexed citations
6.
7.
Wang, P., Jason Holmes, Zhengliang Liu, et al.. (2025). A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options. Frontiers in Oncology. 15. 1557064–1557064. 3 indexed citations
8.
Wang, Ping, Zhaojun Liu, Yong Li, et al.. (2024). Fine-Tuning Large Language Models for Radiation Oncology, A Specialized Health Care Domain. International Journal of Radiation Oncology*Biology*Physics. 120(2). e664–e664. 1 indexed citations
9.
Zhang, Lian, Zhengliang Liu, Lu Zhang, et al.. (2024). Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology. Medical Physics. 51(3). 2187–2199. 6 indexed citations
10.
Holmes, Jason, Lian Zhang, Yuzhen Ding, et al.. (2024). Benchmarking a Foundation Large Language Model on its Ability to Relabel Structure Names in Accordance With the American Association of Physicists in Medicine Task Group-263 Report. Practical Radiation Oncology. 14(6). e515–e521. 6 indexed citations
11.
Holmes, Jason, Baoxin Li, L.A. McGee, et al.. (2024). Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images. SHILAP Revista de lepidopterología. 4(1). 241–241. 2 indexed citations
12.
Holmes, Jason, et al.. (2024). Fast Monte Carlo dose calculation in proton therapy. Physics in Medicine and Biology. 69(17). 17TR01–17TR01. 7 indexed citations
13.
Ding, Yuzhen, Jason Holmes, Hao Feng, et al.. (2024). Patient-specific 3D CT Images Reconstruction from 2D KV Images. International Journal of Radiation Oncology*Biology*Physics. 118(5). e68–e69.
14.
Holmes, Jason, Zhengliang Liu, Lian Zhang, et al.. (2023). Evaluating large language models on a highly-specialized topic, radiation oncology physics. Frontiers in Oncology. 13. 1219326–1219326. 89 indexed citations
15.
Holmes, Jason, Sujay A. Vora, J. Stoker, et al.. (2023). Modelling small block aperture in an in-house developed GPU-accelerated Monte Carlo-based dose engine for pencil beam scanning proton therapy. Physics in Medicine and Biology. 69(3). 35003–35003. 2 indexed citations
16.
Liu, Chenbin, Zhengliang Liu, Jason Holmes, et al.. (2023). Artificial general intelligence for radiation oncology. SHILAP Revista de lepidopterología. 1(3). 100045–100045. 17 indexed citations
17.
Ding, Yuzhen, Jason Holmes, Zhengliang Liu, et al.. (2023). Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer. Medical Physics. 50(11). 6864–6880. 10 indexed citations
18.
Holmes, Jason, Jiajian Shen, Samir H. Patel, et al.. (2022). Collimating individual beamlets in pencil beam scanning proton therapy, a dosimetric investigation. Frontiers in Oncology. 12. 1031340–1031340. 3 indexed citations
19.
Holmes, Jason, et al.. (2020). Radiation Effects on FR4 Printed Circuit Boards. IEEE Transactions on Nuclear Science. 67(8). 1846–1851. 9 indexed citations
20.
Holmes, Jason, et al.. (2020). A novel approach to building micromegas detectors enabled by precision manufacturing. Journal of Instrumentation. 15(5). T05001–T05001. 2 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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