Karl Rohr

7.2k total citations
119 papers, 2.9k citations indexed

About

Karl Rohr is a scholar working on Biophysics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karl Rohr has authored 119 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biophysics, 42 papers in Molecular Biology and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karl Rohr's work include Cell Image Analysis Techniques (46 papers), Advanced Fluorescence Microscopy Techniques (19 papers) and Medical Image Segmentation Techniques (18 papers). Karl Rohr is often cited by papers focused on Cell Image Analysis Techniques (46 papers), Advanced Fluorescence Microscopy Techniques (19 papers) and Medical Image Segmentation Techniques (18 papers). Karl Rohr collaborates with scholars based in Germany, United States and Switzerland. Karl Rohr's co-authors include William J. Godinez, Roland Eils, Stefan Wörz, Luís A. Vale-Silva, Nathalie Harder, Hans‐Georg Kräusslich, Bárbara Müller, Holger Erfle, Ralf Bartenschlager and Marko Lampe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Karl Rohr

117 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Rohr Germany 30 1.3k 466 341 294 282 119 2.9k
Vannary Meas‐Yedid France 24 834 0.6× 593 1.3× 273 0.8× 386 1.3× 193 0.7× 47 2.6k
Pascal Roux France 29 1.8k 1.4× 209 0.4× 158 0.5× 358 1.2× 453 1.6× 39 4.1k
Nicolas Chenouard France 17 1.1k 0.9× 491 1.1× 242 0.7× 364 1.2× 164 0.6× 35 2.3k
Alexandre Dufour France 21 974 0.8× 811 1.7× 284 0.8× 416 1.4× 187 0.7× 44 2.5k
Javier Vargas Spain 32 2.1k 1.6× 205 0.4× 1.0k 3.0× 319 1.1× 227 0.8× 112 4.9k
Holger Erfle Germany 28 1.8k 1.4× 614 1.3× 95 0.3× 407 1.4× 204 0.7× 87 2.8k
Achilleas S. Frangakis Germany 38 3.9k 3.0× 495 1.1× 131 0.4× 596 2.0× 162 0.6× 81 6.0k
Carolina Wählby Sweden 26 1.7k 1.3× 943 2.0× 445 1.3× 228 0.8× 122 0.4× 101 3.2k
Timo Zimmermann Germany 19 1.7k 1.3× 697 1.5× 53 0.2× 571 1.9× 147 0.5× 45 3.0k
Mark‐Anthony Bray United States 24 1.2k 0.9× 656 1.4× 127 0.4× 418 1.4× 344 1.2× 37 2.8k

Countries citing papers authored by Karl Rohr

Since Specialization
Citations

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

Fields of papers citing papers by Karl Rohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Rohr

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Rohr. A scholar is included among the top collaborators of Karl Rohr 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 Karl Rohr. Karl Rohr 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.
Gerhäuser, Clarissa, et al.. (2025). MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model. Nature Communications. 16(1). 788–788. 4 indexed citations
2.
Rohr, Karl, et al.. (2022). Collective migration reveals mechanical flexibility of malaria parasites. Nature Physics. 18(5). 586–594. 32 indexed citations
3.
Knabbe, Johannes, Michael L. Berger, Dominik Dannehl, et al.. (2022). Single-dose ethanol intoxication causes acute and lasting neuronal changes in the brain. Proceedings of the National Academy of Sciences. 119(25). e2122477119–e2122477119. 15 indexed citations
4.
Ludewig, Susann, David P Wolfer, Karl Rohr, et al.. (2022). APPsα Rescues Tau-Induced Synaptic Pathology. Journal of Neuroscience. 42(29). 5782–5802. 8 indexed citations
5.
Föll, Melanie Christine, Thomas Wollmann, Martin Werner, et al.. (2019). Accessible and reproducible mass spectrometry imaging data analysis in Galaxy. GigaScience. 8(12). 27 indexed citations
6.
Wörz, Stefan, Benjamin Egenlauf, Sasan Partovi, et al.. (2019). Combined automated 3D volumetry by pulmonary CT angiography and echocardiography for detection of pulmonary hypertension. European Radiology. 29(11). 6059–6068. 15 indexed citations
7.
Frey, Felix J., Kem A. Sochacki, Susann Kummer, et al.. (2018). Clathrin-adaptor ratio and membrane tension regulate the flat-to-curved transition of the clathrin coat during endocytosis. Nature Communications. 9(1). 1109–1109. 97 indexed citations
8.
Frank, Lukas, Maria Polycarpou‐Schwarz, Matthias Groß, et al.. (2017). The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells. Scientific Reports. 7(1). 2265–2265. 46 indexed citations
9.
10.
Wörz, Stefan, Matthias Hahn, Andreas Biesdorf, et al.. (2016). A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci. Medical Image Analysis. 32. 18–31. 8 indexed citations
11.
Rengier, Fabian, Stefan Wörz, Sebastian Ley, et al.. (2016). Automated 3D Volumetry of the Pulmonary Arteries based on Magnetic Resonance Angiography Has Potential for Predicting Pulmonary Hypertension. PLoS ONE. 11(9). e0162516–e0162516. 13 indexed citations
12.
Liesche, Clarissa, Kristin S. Grußmayer, Michael Ludwig, et al.. (2015). Automated Analysis of Single-Molecule Photobleaching Data by Statistical Modeling of Spot Populations. Biophysical Journal. 109(11). 2352–2362. 24 indexed citations
13.
Sonntag, Florian, Qingxin Chen, Jürgen Beneke, et al.. (2015). The SUMOylation Pathway Restricts Gene Transduction by Adeno-Associated Viruses. PLoS Pathogens. 11(12). e1005281–e1005281. 26 indexed citations
14.
Godinez, William J., et al.. (2013). Xenopuscytoplasmic linker–associated protein 1 (XCLASP1) promotes axon elongation and advance of pioneer microtubules. Molecular Biology of the Cell. 24(10). 1544–1558. 35 indexed citations
15.
Ruggieri, Alessia, Eva Dazert, Philippe Metz, et al.. (2012). Dynamic Oscillation of Translation and Stress Granule Formation Mark the Cellular Response to Virus Infection. Cell Host & Microbe. 12(1). 71–85. 148 indexed citations
16.
Seo, Sang Won, Chang‐Ki Kang, Sook Hui Kim, et al.. (2012). Measurements of lenticulostriate arteries using 7T MRI: new imaging markers for subcortical vascular dementia. Journal of the Neurological Sciences. 322(1-2). 200–205. 38 indexed citations
17.
Biesdorf, Andreas, Karl Rohr, Feng Duan, et al.. (2012). Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. Medical Image Analysis. 16(6). 1187–1201. 20 indexed citations
18.
Harder, Nathalie, et al.. (2009). Haralick's Texture Features Computed by GPUs for Biological Applications. 36(1). 66–75. 14 indexed citations
19.
Harder, Nathalie, Felipe Mora‐Bermúdez, William J. Godinez, et al.. (2009). Automatic analysis of dividing cells in live cell movies to detect mitotic delays and correlate phenotypes in time. Genome Research. 19(11). 2113–2124. 48 indexed citations
20.
Harder, Nathalie, et al.. (2008). Accelerating the Computation of Haralick's Texture Features using Graphics Processing Units (GPUs). Lecture notes in computer science. 2170(1). 587–592. 8 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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