Petr Matula

2.8k total citations
43 papers, 476 citations indexed

About

Petr Matula is a scholar working on Biophysics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Petr Matula has authored 43 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biophysics, 16 papers in Molecular Biology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Petr Matula's work include Cell Image Analysis Techniques (18 papers), Image Processing Techniques and Applications (9 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Petr Matula is often cited by papers focused on Cell Image Analysis Techniques (18 papers), Image Processing Techniques and Applications (9 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Petr Matula collaborates with scholars based in Czechia, Germany and United States. Petr Matula's co-authors include Michal Kozubek, Pavel Matula, Karl Rohr, Holger Erfle, Roland Eils, Lars Kaderali, Ralf Bartenschlager, Anil Kumar, Vladimír Dvořák and Stanislav Kozubek and has published in prestigious journals such as Molecular Cell, Bioinformatics and PLoS ONE.

In The Last Decade

Petr Matula

40 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petr Matula Czechia 14 219 149 77 65 49 43 476
Nathalie Harder Germany 15 206 0.9× 154 1.0× 73 0.9× 60 0.9× 84 1.7× 31 525
Pavel Matula Czechia 18 497 2.3× 174 1.2× 82 1.1× 62 1.0× 20 0.4× 41 716
Henrik Failmezger Germany 9 337 1.5× 116 0.8× 68 0.9× 19 0.3× 50 1.0× 15 671
Vidya Venkatachalam United States 6 225 1.0× 163 1.1× 37 0.5× 37 0.6× 44 0.9× 10 473
Katelyn A. Walzer United States 10 56 0.3× 53 0.4× 61 0.8× 35 0.5× 50 1.0× 13 338
Willem C.R. Sloos Netherlands 14 290 1.3× 88 0.6× 28 0.4× 34 0.5× 17 0.3× 21 517
Weikang Wang China 16 273 1.2× 74 0.5× 21 0.3× 22 0.3× 40 0.8× 36 634
Isabel Vallcorba Spain 8 143 0.7× 227 1.5× 172 2.2× 96 1.5× 71 1.4× 17 566
Grégory Paul Switzerland 6 179 0.8× 135 0.9× 82 1.1× 42 0.6× 50 1.0× 11 482

Countries citing papers authored by Petr Matula

Since Specialization
Citations

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

Fields of papers citing papers by Petr Matula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Matula

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Matula. A scholar is included among the top collaborators of Petr Matula 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 Petr Matula. Petr Matula 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.
Matula, Petr, et al.. (2023). MAPHIS— Measuring arthropod phenotypes using hierarchical image segmentations. Methods in Ecology and Evolution. 15(1). 36–42. 1 indexed citations
2.
Cortese, Mirko, Anil Kumar, Petr Matula, et al.. (2019). Reciprocal Effects of Fibroblast Growth Factor Receptor Signaling on Dengue Virus Replication and Virion Production. Cell Reports. 27(9). 2579–2592.e6. 16 indexed citations
3.
Matula, Petr, et al.. (2019). DIC Image Segmentation of Dense Cell Populations by Combining Deep Learning and Watershed. 236–239. 18 indexed citations
4.
Šimara, Pavel, et al.. (2017). Reprogramming of Adult Peripheral Blood Cells into Human Induced Pluripotent Stem Cells as a Safe and Accessible Source of Endothelial Cells. Stem Cells and Development. 27(1). 10–22. 12 indexed citations
5.
Willemsen, Joschka, Oliver Wicht, Darya A. Haas, et al.. (2017). Phosphorylation-Dependent Feedback Inhibition of RIG-I by DAPK1 Identified by Kinome-wide siRNA Screening. Molecular Cell. 65(3). 403–415.e8. 40 indexed citations
6.
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
7.
Serva, Andrius, Bettina L. Knapp, Christoph Claas, et al.. (2012). miR-17-5p Regulates Endocytic Trafficking through Targeting TBC1D2/Armus. PLoS ONE. 7(12). e52555–e52555. 28 indexed citations
8.
Knapp, Bettina L., Ilka Rebhan, Anil Kumar, et al.. (2011). Normalizing for individual cell population context in the analysis of high-content cellular screens. BMC Bioinformatics. 12(1). 485–485. 18 indexed citations
9.
Matula, Petr, et al.. (2011). Road Detection Using Similarity Search. 95–102. 3 indexed citations
10.
Petera, Jiřı́, Petr Matula, Petr Paluska, et al.. (2009). High dose rate versus low dose rate brachytherapy in the treatment of tongue carcinoma – a radiobiological study. Neoplasma. 56(2). 163–168. 11 indexed citations
11.
Matula, Petr, Anil Kumar, Holger Erfle, et al.. (2008). Single‐cell‐based image analysis of high‐throughput cell array screens for quantification of viral infection. Cytometry Part A. 75A(4). 309–318. 33 indexed citations
12.
Skalnı́ková, Magdalena, Eva Bártová, Vladimír Ulman, et al.. (2007). Distinct patterns of histone methylation and acetylation in human interphase nuclei. Physiological Research. 56(6). 797–806. 7 indexed citations
13.
Matula, Petr, Pavel Matula, Michal Kozubek, & Vladimír Dvořák. (2006). Fast point-based 3-D alignment of live cells. IEEE Transactions on Image Processing. 15(8). 2388–2396. 29 indexed citations
15.
Kozubek, Michal, Petr Matula, Pavel Matula, & Stanislav Kozubek. (2004). Automated acquisition and processing of multidimensional image data in confocal in vivo microscopy. Microscopy Research and Technique. 64(2). 164–175. 22 indexed citations
16.
Kozubek, Michal, Magdalena Skalnı́ková, Petr Matula, et al.. (2002). Automated microaxial tomography of cell nuclei after specific labelling by fluorescence in situ hybridisation. Micron. 33(7-8). 655–665. 7 indexed citations
17.
Kozubek, Michal, Stanislav Kozubek, Emı́lie Lukášová, et al.. (2001). Combined confocal and wide-field high-resolution cytometry ofFISH-stained cells. Cytometry. 45(1). 4 indexed citations
18.
Koutná, Irena, Jan Žaloudík, Michal Kozubek, et al.. (2000). Topography of Genetic Loci in Tissue Samples: Towards New Diagnostic Tool Using Interphase FISH and High‐Resolution Image Analysis Techniques. Analytical Cellular Pathology. 20(4). 173–185. 11 indexed citations
19.
Kozubek, Michal & Petr Matula. (2000). An efficient algorithm for measurement and correction of chromatic aberrations in fluorescence microscopy. Journal of Microscopy. 200(3). 206–217. 52 indexed citations
20.
Laurencikiene, Jurga, M Wagnerová, Martin Klvaňa, & Petr Matula. (1978). [Cupremia and sideremia during radiotherapy of malignant lymphomas].. PubMed. 24(4). 351–7. 1 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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