Rachel Ger

1.1k total citations
44 papers, 641 citations indexed

About

Rachel Ger is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Rachel Ger has authored 44 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 21 papers in Radiation. Recurrent topics in Rachel Ger's work include Advanced Radiotherapy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Radiation Therapy and Dosimetry (16 papers). Rachel Ger is often cited by papers focused on Advanced Radiotherapy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Radiation Therapy and Dosimetry (16 papers). Rachel Ger collaborates with scholars based in United States, Egypt and Netherlands. Rachel Ger's co-authors include Laurence E. Court, Dennis Mackin, Jinzhong Yang, Rick R. Layman, A. Kyle Jones, Clifton D. Fuller, Shouhao Zhou, Lifei Zhang, Rebecca M. Howell and R. Jason Stafford and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Rachel Ger

38 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Ger United States 15 558 273 214 131 94 44 641
R. Berenguer Spain 10 470 0.8× 208 0.8× 197 0.9× 83 0.6× 88 0.9× 20 632
Elisabeth Pfaehler Netherlands 15 649 1.2× 186 0.7× 252 1.2× 37 0.3× 105 1.1× 31 721
Ronrick Da‐ano France 7 460 0.8× 163 0.6× 194 0.9× 43 0.3× 73 0.8× 9 490
Shahreen Ahmad United Kingdom 8 525 0.9× 121 0.4× 302 1.4× 170 1.3× 89 0.9× 14 638
Mi Huang United States 10 403 0.7× 119 0.4× 195 0.9× 57 0.4× 84 0.9× 10 505
Hubert S. Gabryś Switzerland 10 394 0.7× 119 0.4× 346 1.6× 286 2.2× 99 1.1× 26 651
C Furstoss Canada 4 351 0.6× 124 0.5× 116 0.5× 74 0.6× 56 0.6× 9 408
Vincent Bourbonne France 13 421 0.8× 93 0.3× 299 1.4× 86 0.7× 126 1.3× 71 584
H. Geng United States 10 288 0.5× 83 0.3× 184 0.9× 255 1.9× 47 0.5× 26 509

Countries citing papers authored by Rachel Ger

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Ger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Ger

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Ger. A scholar is included among the top collaborators of Rachel Ger 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 Rachel Ger. Rachel Ger 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.
Ger, Rachel, Victoria Croog, Lawrence Kleinberg, et al.. (2025). Optimizing QACT Frequency and Setup Uncertainty in Cranial Proton Therapy for Normal Tissue Sparing. International Journal of Particle Therapy. 16. 100751–100751. 1 indexed citations
2.
Sousa, Cecília Almeida e, Dezhi Liu, Chen Hu, et al.. (2025). Efficacy and safety of twice-daily accelerated hyperfractionated re-irradiation for thoracic malignancies. Radiotherapy and Oncology. 212. 111130–111130.
3.
Schaaf, A. van der, Rachel Ger, Olga Hamming‐Vrieze, et al.. (2024). Clinical Introduction of Stem Cell Sparing Radiotherapy to Reduce the Risk of Xerostomia in Patients with Head and Neck Cancer. Cancers. 16(24). 4283–4283.
5.
Chang, Leslie, Emile Gogineni, B.R. Page, et al.. (2023). Daily Head and Neck Treatment Assessment for Optimal Proton Therapy Planning Robustness. Cancers. 15(14). 3719–3719. 3 indexed citations
6.
Ger, Rachel, Lise Wei, Issam El Naqa, & Jing Wang. (2023). The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation. Seminars in Radiation Oncology. 33(3). 252–261. 9 indexed citations
7.
Ger, Rachel, et al.. (2023). Bayesian feature selection for radiomics using reliability metrics. Frontiers in Genetics. 14. 1112914–1112914. 2 indexed citations
8.
Li, Heng, Hao Chen, Khadija Sheikh, et al.. (2022). Evaluating Proton Dose and Associated Range Uncertainty Using Daily Cone-Beam CT. Frontiers in Oncology. 12. 830981–830981. 6 indexed citations
9.
Ger, Rachel, Khadija Sheikh, Emile Gogineni, et al.. (2022). Planning and Treatment Recommendations for Breast Proton Therapy From a Single Center's Experience. Advances in Radiation Oncology. 8(1). 101069–101069. 3 indexed citations
10.
Cárdenas, Carlos, Nicholas Hardcastle, Tomas Kron, et al.. (2021). Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific Reports. 11(1). 17633–17633. 32 indexed citations
11.
He, Renjie, Yao Ding, Abdallah Mohamed, et al.. (2020). Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIM. PubMed. 11313. 91–91. 2 indexed citations
12.
Ger, Rachel, Shouhao Zhou, Baher Elgohari, et al.. (2019). Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PLoS ONE. 14(9). e0222509–e0222509. 51 indexed citations
13.
Ger, Rachel, Skylar Gay, Raymond Mumme, et al.. (2019). Effects of alterations in positron emission tomography imaging parameters on radiomics features. PLoS ONE. 14(9). e0221877–e0221877. 13 indexed citations
14.
Ger, Rachel, Shouhao Zhou, Hannah Lee, et al.. (2018). Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Scientific Reports. 8(1). 13047–13047. 83 indexed citations
15.
Balter, Peter, Wendy A. Woodward, Stephen F. Kry, et al.. (2018). Design, fabrication, and validation of patient-specific electron tissue compensators for postmastectomy radiation therapy. Physics and Imaging in Radiation Oncology. 8. 38–43. 7 indexed citations
16.
Ger, Rachel, Carlos Cárdenas, Brian Anderson, et al.. (2018). Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics. Journal of Visualized Experiments. 24 indexed citations
17.
Mackin, Dennis, Rachel Ger, Cristina T. Dodge, et al.. (2018). Effect of tube current on computed tomography radiomic features. Scientific Reports. 8(1). 2354–2354. 92 indexed citations
18.
Ger, Rachel, Dennis Mackin, Shouhao Zhou, et al.. (2018). Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. Computerized Medical Imaging and Graphics. 69. 134–139. 27 indexed citations
19.
Ger, Rachel, Jinzhong Yang, Yao Ding, et al.. (2017). Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms. Medical Physics. 44(10). 5153–5161. 24 indexed citations
20.
Yuan, Hong, Christina R. Inscoe, Rachel Ger, et al.. (2014). Physiologically gated microbeam radiation using a field emission x‐ray source array. Medical Physics. 41(8Part1). 81705–81705. 15 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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