Andra Krauze

1.5k total citations
64 papers, 1.0k citations indexed

About

Andra Krauze is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andra Krauze has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 26 papers in Pulmonary and Respiratory Medicine and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andra Krauze's work include Glioma Diagnosis and Treatment (33 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Brain Metastases and Treatment (12 papers). Andra Krauze is often cited by papers focused on Glioma Diagnosis and Treatment (33 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Brain Metastases and Treatment (12 papers). Andra Krauze collaborates with scholars based in United States, Canada and United Kingdom. Andra Krauze's co-authors include Kevin Camphausen, Ying Zhuge, Holly Ning, Erdal Taşçı, Jason Cheng, Joanna H. Shih, Robert W. Miller, John O’Connell, Cody D. Schlaff and Arnaud Belard and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Andra Krauze

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andra Krauze United States 15 373 351 347 229 164 64 1.0k
Corey Neff United States 11 993 2.7× 269 0.8× 368 1.1× 463 2.0× 141 0.9× 22 1.8k
Shyam Tanguturi United States 14 440 1.2× 238 0.7× 289 0.8× 214 0.9× 45 0.3× 42 914
Lisa Scarpace United States 23 1.2k 3.3× 1.4k 4.0× 321 0.9× 184 0.8× 76 0.5× 40 2.0k
Archya Dasgupta India 15 259 0.7× 306 0.9× 160 0.5× 90 0.4× 37 0.2× 75 615
Leland Hu United States 17 1.2k 3.2× 974 2.8× 234 0.7× 276 1.2× 134 0.8× 61 1.9k
MacLean P. Nasrallah United States 23 761 2.0× 543 1.5× 223 0.6× 319 1.4× 96 0.6× 97 1.5k
Pallavi Tiwari United States 20 537 1.4× 1.8k 5.1× 661 1.9× 96 0.4× 122 0.7× 71 2.2k
Sebastian Echegaray United States 16 257 0.7× 1.3k 3.7× 542 1.6× 80 0.3× 38 0.2× 22 1.5k
Qiang Tian China 20 483 1.3× 973 2.8× 212 0.6× 83 0.4× 125 0.8× 47 1.4k
Albert J. S. Idema Netherlands 12 570 1.5× 342 1.0× 158 0.5× 273 1.2× 108 0.7× 15 1.2k

Countries citing papers authored by Andra Krauze

Since Specialization
Citations

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

Fields of papers citing papers by Andra Krauze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andra Krauze

This figure shows the co-authorship network connecting the top 25 collaborators of Andra Krauze. A scholar is included among the top collaborators of Andra Krauze 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 Andra Krauze. Andra Krauze 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.
Camphausen, Kevin, et al.. (2024). Small Bowel Dose Constraints in Radiation Therapy—Where Omics-Driven Biomarkers and Bioinformatics Can Take Us in the Future. SHILAP Revista de lepidopterología. 4(1). 158–172. 1 indexed citations
3.
Taşçı, Erdal, Yajas Shah, Ying Zhuge, et al.. (2024). MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma. International Journal of Molecular Sciences. 25(7). 4082–4082. 6 indexed citations
4.
Taşçı, Erdal, Ying Zhuge, Longze Zhang, et al.. (2024). MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in Glioblastoma. International Journal of Molecular Sciences. 25(20). 10965–10965. 4 indexed citations
5.
Sproull, Mary, et al.. (2024). Evaluating Serum CXCL Levels as Potential Biomarkers in Glioblastoma: Observed Alteration with Concurrent Chemoirradiation in Upfront Management. International Journal of Radiation Oncology*Biology*Physics. 120(2). e271–e271. 1 indexed citations
6.
Erickson, Andrew, L. R. Jackson, Kevin Camphausen, & Andra Krauze. (2024). Mucins as Precision Biomarkers in Glioma: Emerging Evidence for Their Potential in Biospecimen Analysis and Outcome Prediction. Biomedicines. 12(12). 2806–2806. 1 indexed citations
7.
Taşçı, Erdal, et al.. (2023). An Overview of CD133 as a Functional Unit of Prognosis and Treatment Resistance in Glioblastoma. Current Oncology. 30(9). 8278–8293. 15 indexed citations
9.
Krauze, Andra, Michael Sierk, Qingrong Chen, et al.. (2023). Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a large-scale proteomic panel. Frontiers in Oncology. 13. 1127645–1127645. 7 indexed citations
11.
Taşçı, Erdal, Ying Zhuge, Mary Sproull, et al.. (2023). RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma. Cancers. 15(10). 2672–2672. 10 indexed citations
13.
Zhuge, Ying, Holly Ning, Jason Cheng, et al.. (2023). Survival Prediction in Glioblastoma Using Combination of Deep Learning and Hand-Crafted Radiomic Features in MRI Images. Journal of Advances in Information Technology. 14(6). 1461–1469. 1 indexed citations
15.
Fan, Kevin Yijun, Nafisha Lalani, Nathalie LeVasseur, et al.. (2020). Type and timing of systemic therapy use predict overall survival for patients with brain metastases treated with radiation therapy. Journal of Neuro-Oncology. 151(2). 231–240. 5 indexed citations
16.
Rousseau, Étienne, et al.. (2019). Patterns of Prostate Cancer Recurrence after Brachytherapy Imaged with PSMA-Targeting 18F-Dcfpyl PET/CT. International Journal of Radiation Oncology*Biology*Physics. 105(1). E304–E305. 1 indexed citations
17.
Rousseau, Étienne, Don Wilson, Andra Krauze, et al.. (2019). A Prospective Study on 18F-DCFPyL PSMA PET/CT Imaging in Biochemical Recurrence of Prostate Cancer. Journal of Nuclear Medicine. 60(11). 1587–1593. 81 indexed citations
18.
Valle, Luca, Matthew D. Greer, Joanna H. Shih, et al.. (2018). Multiparametric MRI for the detection of local recurrence of prostate cancer in the setting of biochemical recurrence after low dose rate brachytherapy. Diagnostic and Interventional Radiology. 24(1). 46–53. 21 indexed citations
19.
Schlaff, Cody D., Andra Krauze, Arnaud Belard, John O’Connell, & Kevin Camphausen. (2014). Bringing the heavy: carbon ion therapy in the radiobiological and clinical context. Radiation Oncology. 9(1). 88–88. 115 indexed citations
20.
Krauze, Andra, Minhee Won, B. Corn, et al.. (2013). Predictive value of tumor recurrence using urinary vascular endothelial factor levels in patients receiving radiation therapy for Glioblastoma Multiforme (GBM). Biomarker Research. 1(1). 29–29. 5 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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