Florian Auer

2.6k total citations
26 papers, 1.1k citations indexed

About

Florian Auer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Florian Auer has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Florian Auer's work include Bioinformatics and Genomic Networks (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Florian Auer is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Florian Auer collaborates with scholars based in Germany, United States and United Kingdom. Florian Auer's co-authors include Katharina Marten, Christoph Engelke, Ernst J. Rummeny, Michael Stoffel, Michaël Behr, Florian Ringel, Andreas Reinke, Alexander Preuß, Carsten Stüer and Bernhard Meyer and has published in prestigious journals such as Bioinformatics, Biological Psychiatry and Radiology.

In The Last Decade

Florian Auer

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Auer Germany 14 334 301 290 239 176 26 1.1k
Zhimin Shao China 19 189 0.6× 155 0.5× 506 1.7× 165 0.7× 138 0.8× 96 1.3k
Hans E. Fjøsne Norway 21 765 2.3× 133 0.4× 885 3.1× 186 0.8× 149 0.8× 39 2.0k
Darko Pucar United States 22 762 2.3× 209 0.7× 679 2.3× 536 2.2× 1.1k 6.1× 67 2.4k
Chandandeep Nagi United States 22 106 0.3× 306 1.0× 766 2.6× 615 2.6× 205 1.2× 52 2.1k
Jiayuan Peng China 23 201 0.6× 156 0.5× 659 2.3× 93 0.4× 272 1.5× 65 1.4k
T. Gade United States 21 335 1.0× 258 0.9× 820 2.8× 76 0.3× 378 2.1× 80 2.1k
Marcin Imieliński United States 23 152 0.5× 165 0.5× 1.2k 4.2× 112 0.5× 240 1.4× 39 2.2k
Tetsuya Tsujikawa Japan 23 805 2.4× 127 0.4× 239 0.8× 63 0.3× 421 2.4× 113 1.6k
Yan Lin China 19 219 0.7× 86 0.3× 691 2.4× 52 0.2× 119 0.7× 58 1.2k
Aradhana Kaushal United States 20 267 0.8× 213 0.7× 341 1.2× 44 0.2× 577 3.3× 38 1.3k

Countries citing papers authored by Florian Auer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Auer

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Auer. A scholar is included among the top collaborators of Florian Auer 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 Florian Auer. Florian Auer 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.
Schmid, Verena, Philip Meyer, Florian Auer, et al.. (2023). MISM: A Medical Image Segmentation Metric for Evaluation of Weak Labeled Data. Diagnostics. 13(16). 2618–2618.
2.
Auer, Florian, et al.. (2023). The RCX Extension Hub: A Resource for Implementations Extending the R Adaption of the Cytoscape Exchange Format. Studies in health technology and informatics. 302. 1075–1076.
3.
Auer, Florian, et al.. (2023). Evaluation of the Availability of Nursing Quality Indicators in German FHIR Implementations. Studies in health technology and informatics. 305. 299–302.
4.
Auer, Florian & Frank Krämer. (2022). RCX—an R package adapting the Cytoscape Exchange format for biological networks. Bioinformatics Advances. 2(1). vbac020–vbac020. 5 indexed citations
5.
Auer, Florian, et al.. (2022). Data-dependent visualization of biological networks in the web-browser with NDExEdit. PLoS Computational Biology. 18(6). e1010205–e1010205. 2 indexed citations
6.
Nietert, Manuel, et al.. (2021). Comprehensive Analysis of Chemical Structures That Have Been Tested as CFTR Activating Substances in a Publicly Available Database CandActCFTR. Frontiers in Pharmacology. 12. 689205–689205. 2 indexed citations
7.
Ortner, Marion, Alexander Kurz, Panagiotis Alexopoulos, et al.. (2014). Small Vessel Disease, but Neither Amyloid Load nor Metabolic Deficit, Is Dependent on Age at Onset in Alzheimer’s Disease. Biological Psychiatry. 77(8). 704–710. 13 indexed citations
8.
Gholami, Amin Moghaddas, Hannes Hahne, Zhixiang Wu, et al.. (2013). Global Proteome Analysis of the NCI-60 Cell Line Panel. Cell Reports. 4(3). 609–620. 220 indexed citations
9.
Hamp, Tobias, Stefan Seemayer, Esmeralda Vicedo, et al.. (2013). Homology-based inference sets the bar high for protein function prediction. BMC Bioinformatics. 14(S3). S7–S7. 51 indexed citations
10.
Grimmer, Timo, Florian Auer, Panagiotis Alexopoulos, et al.. (2012). White matter hyperintensities predict amyloid increase in Alzheimer's disease. Neurobiology of Aging. 33(12). 2766–2773. 104 indexed citations
11.
Ringel, Florian, Carsten Stüer, Andreas Reinke, et al.. (2012). Accuracy of Robot-Assisted Placement of Lumbar and Sacral Pedicle Screws. Spine. 37(8). E496–E501. 266 indexed citations
12.
Zimmermann, Alexander, Heiko Wendorff, Tibor Schuster, et al.. (2010). Interobserver Agreement of the TASC II Classification for Supra- and Infrainguinal Lesions. European Journal of Vascular and Endovascular Surgery. 39(5). 586–590. 7 indexed citations
13.
Astner, Sabrina T., et al.. (2010). Tumor Shrinkage Assessed by Volumetric MRI in the Long-Term Follow-Up after Stereotactic Radiotherapy of Meningiomas. Strahlentherapie und Onkologie. 186(8). 423–429. 33 indexed citations
14.
Engelke, C., Stefan Schmidt, Florian Auer, Ernst J. Rummeny, & Katharina Marten. (2009). Does computer-assisted detection of pulmonary emboli enhance severity assessment and risk stratification in acute pulmonary embolism?. Clinical Radiology. 65(2). 137–144. 10 indexed citations
15.
Marten, Katharina, Florian Auer, Stefan Schmidt, Ernst J. Rummeny, & Christoph Engelke. (2007). Automated CT volumetry of pulmonary metastases: the effect of a reduced growth threshold and target lesion number on the reliability of therapy response assessment using RECIST criteria. European Radiology. 17(10). 2561–2571. 27 indexed citations
16.
Auer, Florian, et al.. (2007). Technical Improvement of pO2 Measurements in Breast Cancer. Strahlentherapie und Onkologie. 183(5). 265–270. 3 indexed citations
17.
Stollfuß, J., Karen Becker, A. Sendler, et al.. (2006). Rectal Carcinoma: High-Spatial-Resolution MR Imaging and T2 Quantification in Rectal Cancer Specimens. Radiology. 241(1). 132–141. 28 indexed citations
18.
Marten, Katharina, Florian Auer, Stefan Schmidt, et al.. (2005). Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria. European Radiology. 16(4). 781–790. 134 indexed citations
19.
20.
Röper, Barbara, et al.. (2004). Thêta-Cream® versus Bepanthol® Lotion in Breast Cancer Patients under Radiotherapy. Strahlentherapie und Onkologie. 180(5). 315–322. 35 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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