Pavel Tomančák

90.4k total citations · 9 hit papers
94 papers, 56.5k citations indexed

About

Pavel Tomančák is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Pavel Tomančák has authored 94 papers receiving a total of 56.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 36 papers in Biophysics and 14 papers in Cell Biology. Recurrent topics in Pavel Tomančák's work include Cell Image Analysis Techniques (30 papers), Advanced Fluorescence Microscopy Techniques (26 papers) and Developmental Biology and Gene Regulation (10 papers). Pavel Tomančák is often cited by papers focused on Cell Image Analysis Techniques (30 papers), Advanced Fluorescence Microscopy Techniques (26 papers) and Developmental Biology and Gene Regulation (10 papers). Pavel Tomančák collaborates with scholars based in Germany, United States and United Kingdom. Pavel Tomančák's co-authors include Stephan Saalfeld, Stephan Preibisch, Volker Hartenstein, Albert Cardona, Ignacio Arganda‐Carreras, Mark Longair, Johannes Schindelin, Tobias Pietzsch, Kevin W. Eliceiri and Benjamin Schmid and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Pavel Tomančák

93 papers receiving 56.1k citations

Hit Papers

Fiji: an open-source platform for biological-image... 2002 2026 2010 2018 2012 2009 2018 2007 2012 10.0k 20.0k 30.0k 40.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fiji: an open-source platform for biological-image analysis
    2012 44.9k citations Johannes Schindelin, Ignacio Arganda‐Carreras et al. Nature Methods profile →
  2. Globally optimal stitching of tiled 3D microscopic image acquisitions
    2009 1.7k citations Stephan Preibisch, Stephan Saalfeld et al. Bioinformatics profile →
  3. RNA buffers the phase separation behavior of prion-like RNA binding proteins
    2018 771 citations Shovamayee Maharana, Jie Wang et al. Science profile →
  4. Global Analysis of mRNA Localization Reveals a Prominent Role in Organizing Cellular Architecture and Function
    2007 732 citations Pavel Tomančák et al. profile →
  5. TrakEM2 Software for Neural Circuit Reconstruction
    2012 678 citations Albert Cardona, Stephan Saalfeld et al. profile →
  6. Computational identification of DrosophilamicroRNA genes
    2003 582 citations Pavel Tomančák, Gerald M. Rubin et al. Genome biology profile →
  7. Systematic determination of patterns of gene expression during Drosophila embryogenesis
    2002 560 citations Pavel Tomančák, Volker Hartenstein et al. Genome biology profile →
  8. Tissue clearing and its applications in neuroscience
    2020 362 citations Hiroki R. Ueda, Ali Ertürk et al. Nature reviews. Neuroscience profile →
  9. LABKIT: Labeling and Segmentation Toolkit for Big Image Data
    2022 156 citations Tobias Pietzsch, Pavel Tomančák et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Tomančák Germany 44 24.8k 7.0k 6.0k 5.6k 4.9k 94 56.5k
Curtis Rueden United States 20 21.7k 0.9× 7.1k 1.0× 5.2k 0.9× 6.1k 1.1× 4.2k 0.9× 43 56.1k
Johannes Schindelin United States 14 21.8k 0.9× 7.1k 1.0× 5.5k 0.9× 6.0k 1.1× 3.9k 0.8× 24 56.2k
Stephan Preibisch Germany 25 20.1k 0.8× 6.3k 0.9× 5.4k 0.9× 5.1k 0.9× 3.7k 0.8× 51 49.5k
Albert Cardona United States 39 19.7k 0.8× 6.4k 0.9× 7.6k 1.3× 5.0k 0.9× 3.7k 0.8× 80 51.9k
Stephan Saalfeld United States 20 19.3k 0.8× 6.3k 0.9× 5.8k 1.0× 5.0k 0.9× 3.7k 0.8× 33 49.2k
Jean-Yves Tinévez France 24 20.0k 0.8× 7.3k 1.0× 5.0k 0.8× 5.5k 1.0× 3.3k 0.7× 66 49.6k
Ignacio Arganda‐Carreras Spain 24 19.5k 0.8× 6.3k 0.9× 5.4k 0.9× 5.6k 1.0× 3.6k 0.7× 77 52.0k
Benjamin Schmid Germany 21 18.9k 0.8× 6.0k 0.9× 5.0k 0.8× 5.4k 1.0× 3.4k 0.7× 44 48.7k
Mark Longair Switzerland 6 18.7k 0.8× 6.1k 0.9× 5.5k 0.9× 4.7k 0.8× 3.0k 0.6× 6 46.9k
Verena Kaynig United States 11 18.4k 0.7× 5.9k 0.8× 4.8k 0.8× 4.8k 0.9× 3.0k 0.6× 15 46.8k

Countries citing papers authored by Pavel Tomančák

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Tomančák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Tomančák

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Tomančák. A scholar is included among the top collaborators of Pavel Tomančák 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 Pavel Tomančák. Pavel Tomančák 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.
Vellutini, Bruno C., et al.. (2025). Patterned invagination prevents mechanical instability during gastrulation. Nature. 646(8085). 627–636. 1 indexed citations
2.
Takáč, Tomáš, Olga Šamajová, Petr Dvořák, et al.. (2024). Actin cytoskeleton and plasma membrane aquaporins are involved in different drought response of Arabidopsis rhd2 and der1 root hair mutants. Plant Physiology and Biochemistry. 216. 109137–109137. 1 indexed citations
3.
Rechavi, Oded & Pavel Tomančák. (2023). Who did what: changing how science papers are written to detail author contributions. Nature Reviews Molecular Cell Biology. 24(8). 519–520. 4 indexed citations
4.
Dobson, Ellen T. A., et al.. (2020). The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis. Protein Science. 30(1). 234–249. 176 indexed citations
5.
Klímová, Jana, et al.. (2020). Imaging plant germline differentiation within Arabidopsis flowers by light sheet microscopy. eLife. 9. 42 indexed citations
6.
Ueda, Hiroki R., Ali Ertürk, Kwanghun Chung, et al.. (2020). Tissue clearing and its applications in neuroscience. Nature reviews. Neuroscience. 21(2). 61–79. 362 indexed citations breakdown →
7.
Ueda, Hiroki R., Ali Ertürk, Kwanghun Chung, et al.. (2020). Publisher Correction: Tissue clearing and its applications in neuroscience. Nature reviews. Neuroscience. 21(5). 298–298. 57 indexed citations
8.
Jain, Akanksha, Vladimír Ulman, Stefan Münster, et al.. (2020). Regionalized tissue fluidization is required for epithelial gap closure during insect gastrulation. Nature Communications. 11(1). 5604–5604. 53 indexed citations
9.
Papadopoulos, Dimitrios K., Kassiani Skouloudaki, Ylva Engström, et al.. (2019). Control of Hox transcription factor concentration and cell-to-cell variability by an auto-regulatory switch. Development. 146(12). 18 indexed citations
10.
Ehrig, Sebastian, Barbara Schamberger, Cécile M. Bidan, et al.. (2019). Surface tension determines tissue shape and growth kinetics. Science Advances. 5(9). eaav9394–eaav9394. 80 indexed citations
11.
Handberg-Thorsager, Mette, Stefan T. Arold, Paola Bertucci, et al.. (2018). The ancestral retinoic acid receptor was a low-affinity sensor triggering neuronal differentiation. Science Advances. 4(2). eaao1261–eaao1261. 35 indexed citations
12.
Maharana, Shovamayee, Jie Wang, Dimitrios K. Papadopoulos, et al.. (2018). RNA buffers the phase separation behavior of prion-like RNA binding proteins. Science. 360(6391). 918–921. 771 indexed citations breakdown →
13.
Preibisch, Stephan, Fernando Amat, Evangelia Stamataki, et al.. (2013). Efficient bayesian multi-view deconvolution. arXiv (Cornell University). 1 indexed citations
14.
Schindelin, Johannes, Ignacio Arganda‐Carreras, Erwin Frise, et al.. (2012). Fiji: an open-source platform for biological-image analysis. Nature Methods. 9(7). 676–682. 44856 indexed citations breakdown →
15.
Reynaud, Emmanuel G. & Pavel Tomančák. (2010). Meeting report: First light sheet based fluorescence microscopy workshop. Biotechnology Journal. 5(8). 798–804. 6 indexed citations
16.
Rach, Elizabeth A., Hsiang‐Yu Yuan, William H. Majoros, Pavel Tomančák, & Uwe Ohler. (2009). Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome. Genome biology. 10(7). R73–R73. 74 indexed citations
17.
Preibisch, Stephan, Stephan Saalfeld, & Pavel Tomančák. (2009). Globally optimal stitching of tiled 3D microscopic image acquisitions. Bioinformatics. 25(11). 1463–1465. 1679 indexed citations breakdown →
18.
Tomančák, Pavel, Jesús M. López Martí, Mikita Suyama, et al.. (2008). Selective maintenance of Drosophilatandemly arranged duplicated genes during evolution. Genome biology. 9(12). R176–R176. 9 indexed citations
19.
Berman, Benjamin P., Yutaka Nibu, Barret D. Pfeiffer, et al.. (2002). Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome. Proceedings of the National Academy of Sciences. 99(2). 757–762. 483 indexed citations
20.
Muckenthaler, Martina U., et al.. (1998). Iron‐regulatory protein‐1 (IRP‐1) is highly conserved in two invertebrate species. European Journal of Biochemistry. 254(2). 230–237. 49 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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