Elena K. Bauer

893 total citations
24 papers, 579 citations indexed

About

Elena K. Bauer is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elena K. Bauer has authored 24 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 15 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elena K. Bauer's work include Glioma Diagnosis and Treatment (17 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Elena K. Bauer is often cited by papers focused on Glioma Diagnosis and Treatment (17 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Elena K. Bauer collaborates with scholars based in Germany, United States and Denmark. Elena K. Bauer's co-authors include Norbert Galldiks, Karl‐Josef Langen, Gereon R. Fink, Philipp Lohmann, N. Jon Shah, Bernd Neumaier, Gabriele Stoffels, Garry Ceccon, Jan‐Michael Werner and Martin Köcher and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Elena K. Bauer

20 papers receiving 575 citations

Peers

Elena K. Bauer
Melissa Prah United States
Sophie Chheang United States
Renske Gahrmann Netherlands
Taryar Zaw United States
Ying‐Zhi Sun China
Youngheun Jo South Korea
Ginu Thomas United States
Adrien Holzgreve Germany
Veronika Dunkl Germany
Guoqiang Yang China
Melissa Prah United States
Elena K. Bauer
Citations per year, relative to Elena K. Bauer Elena K. Bauer (= 1×) peers Melissa Prah

Countries citing papers authored by Elena K. Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Elena K. Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena K. Bauer. 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 Elena K. Bauer. The network helps show where Elena K. Bauer may publish in the future.

Co-authorship network of co-authors of Elena K. Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Elena K. Bauer. A scholar is included among the top collaborators of Elena K. Bauer 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 Elena K. Bauer. Elena K. Bauer 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.
Memaran, Nima, Momme Kück, Lena Grams, et al.. (2023). Participating in a School-Integrated Daily Exercise Program Improves Motor Performance Significantly in School-Children. International Journal of Environmental Research and Public Health. 20(6). 4764–4764. 2 indexed citations
2.
Galldiks, Norbert, Frank Angenstein, Jan‐Michael Werner, et al.. (2022). Use of advanced neuroimaging and artificial intelligence in meningiomas. Brain Pathology. 32(2). e13015–e13015. 17 indexed citations
3.
Werner, Jan‐Michael, Elena K. Bauer, Caroline Tscherpel, et al.. (2022). Prediction of response to lomustine-based chemotherapy in glioma patients at recurrence using MRI and FET PET. Neuro-Oncology. 25(5). 984–994. 10 indexed citations
4.
Ceccon, Garry, Elena K. Bauer, Jan‐Michael Werner, et al.. (2022). Cost-effectiveness of 18F-FET PET for early treatment response assessment in glioma patients following adjuvant temozolomide chemotherapy. Journal of Nuclear Medicine. 63(11). jnumed.122.263790–jnumed.122.263790. 8 indexed citations
5.
Werner, Jan‐Michael, Caroline Tscherpel, Elena K. Bauer, et al.. (2022). Efficacy and tolerability of regorafenib in pretreated patients with progressive CNS grade 3 or 4 gliomas. Journal of Neuro-Oncology. 159(2). 309–317. 7 indexed citations
6.
Werner, Jan‐Michael, Johannes Weller, Garry Ceccon, et al.. (2021). Diagnosis of Pseudoprogression Following Lomustine–Temozolomide Chemoradiation in Newly Diagnosed Glioblastoma Patients Using FET-PET. Clinical Cancer Research. 27(13). 3704–3713. 26 indexed citations
7.
Stoffels, Gabriele, Philipp Lohmann, Elena K. Bauer, et al.. (2021). Prognostic value of pre-irradiation FET PET in patients with not completely resectable IDH-wildtype glioma and minimal or absent contrast enhancement. Scientific Reports. 11(1). 20828–20828. 6 indexed citations
8.
Lohmann, Philipp, Martin Köcher, Elena K. Bauer, et al.. (2020). Feature-based PET/MRI radiomics in patients with brain tumors. Neuro-Oncology Advances. 2(Supplement_4). iv15–iv21. 18 indexed citations
9.
Lohmann, Philipp, Jan‐Michael Werner, Elena K. Bauer, et al.. (2020). FET PET Radiomics for Differentiating Pseudoprogression from Early Tumor Progression in Glioma Patients Post-Chemoradiation. Cancers. 12(12). 3835–3835. 64 indexed citations
10.
Bauer, Elena K., Gabriele Stoffels, Tobias Blau, et al.. (2020). Prediction of survival in patients with IDH-wildtype astrocytic gliomas using dynamic O-(2-[18F]-fluoroethyl)-l-tyrosine PET. European Journal of Nuclear Medicine and Molecular Imaging. 47(6). 1486–1495. 17 indexed citations
11.
Bauer, Elena K., Gabriele Stoffels, Tobias Blau, et al.. (2020). Prediction of survival in patients with IDH-wildtype astrocytic gliomas using dynamic O-(2-[ 18 F]-fluoroethyl)-L-tyrosine PET. Nuklearmedizin - NuclearMedicine. 1 indexed citations
12.
Lohmann, Philipp, Christoph Lerche, Elena K. Bauer, et al.. (2018). Predicting IDH genotype in gliomas using FET PET radiomics. Scientific Reports. 8(1). 13328–13328. 81 indexed citations
13.
Lohmann, Philipp, Martin Köcher, Garry Ceccon, et al.. (2018). Combined FET PET/MRI radiomics differentiates radiation injury from recurrent brain metastasis. NeuroImage Clinical. 20. 537–542. 101 indexed citations
14.
Lohmann, Philipp, Pantelis Stavrinou, Elena K. Bauer, et al.. (2018). FET PET reveals considerable spatial differences in tumour burden compared to conventional MRI in newly diagnosed glioblastoma. European Journal of Nuclear Medicine and Molecular Imaging. 46(3). 591–602. 78 indexed citations
15.
Suchorska, Bogdana, Nathalie L. Albert, Elena K. Bauer, Jörg‐Christian Tonn, & Norbert Galldiks. (2018). The role of amino-acid PET in the light of the new WHO classification 2016 for brain tumors. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 62(3). 267–271. 6 indexed citations
16.
Galldiks, Norbert, Veronika Dunkl, Garry Ceccon, et al.. (2018). Early treatment response evaluation using FET PET compared to MRI in glioblastoma patients at first progression treated with bevacizumab plus lomustine. European Journal of Nuclear Medicine and Molecular Imaging. 45(13). 2377–2386. 41 indexed citations
17.
Verger, Antoine, Gabriele Stoffels, Elena K. Bauer, et al.. (2017). Static and dynamic 18F–FET PET for the characterization of gliomas defined by IDH and 1p/19q status. European Journal of Nuclear Medicine and Molecular Imaging. 45(3). 443–451. 85 indexed citations
18.
Bauer, Elena K., et al.. (2012). Erkrankungen des Kniegelenks. Zurich Open Repository and Archive (University of Zurich). 2–25.
19.
Bauer, Elena K., et al.. (2005). Learning from noise data with the help of logic programming systems. International Conference on Artificial Intelligence. 32. 1 indexed citations
20.

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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