Anna Kreshuk

8.4k total citations · 1 hit paper
39 papers, 3.1k citations indexed

About

Anna Kreshuk is a scholar working on Biophysics, Molecular Biology and Structural Biology. According to data from OpenAlex, Anna Kreshuk has authored 39 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biophysics, 14 papers in Molecular Biology and 10 papers in Structural Biology. Recurrent topics in Anna Kreshuk's work include Cell Image Analysis Techniques (18 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Advanced Electron Microscopy Techniques and Applications (10 papers). Anna Kreshuk is often cited by papers focused on Cell Image Analysis Techniques (18 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Advanced Electron Microscopy Techniques and Applications (10 papers). Anna Kreshuk collaborates with scholars based in Germany, Switzerland and United States. Anna Kreshuk's co-authors include Fred A. Hamprecht, Ullrich Koethe, Christoph Straehle, Adrian Wolny, Fynn Beuttenmueller, Thorsten Beier, Carsten Haubold, Stuart Berg, Martin Schiegg and Dominik Kutra and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Anna Kreshuk

37 papers receiving 3.0k citations

Hit Papers

ilastik: interactive machine learning for (bio)image anal... 2019 2026 2021 2023 2019 500 1000 1.5k
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. ilastik: interactive machine learning for (bio)image analysis
    2019 1.8k citations Stuart Berg, Dominik Kutra et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kreshuk Germany 21 1.1k 1.1k 355 351 314 39 3.1k
Christoph Straehle Germany 8 1.0k 0.9× 1.1k 1.0× 292 0.8× 223 0.6× 313 1.0× 10 2.9k
Christoph Sommer Switzerland 26 925 0.8× 936 0.8× 348 1.0× 240 0.7× 395 1.3× 87 4.4k
Ullrich Koethe Germany 12 790 0.7× 830 0.7× 234 0.7× 150 0.4× 239 0.8× 26 2.3k
Fernando Amat United States 20 1.1k 0.9× 895 0.8× 461 1.3× 204 0.6× 276 0.9× 26 2.4k
Jérôme Boulanger France 26 503 0.5× 1.2k 1.0× 469 1.3× 127 0.4× 468 1.5× 67 2.8k
Thorsten Beier Germany 8 615 0.6× 747 0.7× 221 0.6× 78 0.2× 227 0.7× 15 2.0k
Martin Schiegg Germany 7 692 0.6× 784 0.7× 226 0.6× 62 0.2× 233 0.7× 10 2.1k
Thorben Kroeger Germany 5 604 0.5× 742 0.7× 214 0.6× 81 0.2× 225 0.7× 5 1.9k
Carsten Haubold Germany 7 670 0.6× 771 0.7× 220 0.6× 62 0.2× 232 0.7× 10 2.0k
Bernhard X. Kausler Germany 6 645 0.6× 781 0.7× 220 0.6× 62 0.2× 261 0.8× 6 2.1k

Countries citing papers authored by Anna Kreshuk

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kreshuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kreshuk

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kreshuk. A scholar is included among the top collaborators of Anna Kreshuk 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 Anna Kreshuk. Anna Kreshuk 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.
Herrera, Antonio, Irina Khven, Suliana Manley, et al.. (2025). Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression. Nature Methods. 22(7). 1495–1504. 2 indexed citations
2.
Vijayan, Athul, Adrian Wolny, Lorenzo Cerrone, et al.. (2024). A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context. Development. 151(14). 8 indexed citations
3.
Corominas‐Murtra, Bernat, Takafumi Ichikawa, Chizuru Iwatani, et al.. (2024). Temporal variability and cell mechanics control robustness in mammalian embryogenesis. Science. 386(6718). eadh1145–eadh1145. 12 indexed citations
4.
5.
Goetz, Sara K., Christian E. Zimmerli, Mauricio Toro‐Nahuelpan, et al.. (2023). Convolutional networks for supervised mining of molecular patterns within cellular context. Nature Methods. 20(2). 284–294. 64 indexed citations
6.
Bondarenko, Vladyslav, Mikhail Nikolaev, Roman Belousov, et al.. (2023). Embryo‐uterine interaction coordinates mouse embryogenesis during implantation. The EMBO Journal. 42(17). e113280–e113280. 20 indexed citations
7.
Sitarska, E, Marianne Sandvold Beckwith, Julian Stopp, et al.. (2023). Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles. Nature Communications. 14(1). 5644–5644. 20 indexed citations
8.
Peddie, Christopher J., Christel Genoud, Anna Kreshuk, et al.. (2022). Volume electron microscopy. Nature Reviews Methods Primers. 2(1). 51–51. 97 indexed citations
9.
Ichikawa, Takafumi, Anna Erzberger, René Snajder, et al.. (2022). An ex vivo system to study cellular dynamics underlying mouse peri-implantation development. Developmental Cell. 57(3). 373–386.e9. 22 indexed citations
10.
Louveaux, Marion, Amaya Vilches Barro, Lorenzo Cerrone, et al.. (2021). Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana. Plant and Cell Physiology. 62(8). 1269–1279. 14 indexed citations
11.
Mönke, Gregor, et al.. (2021). Mechanical competition alters the cellular interpretation of an endogenous genetic program. The Journal of Cell Biology. 220(11). 15 indexed citations
12.
Speiser, Artur, Lucas-Raphael Müller, Philipp Hoess, et al.. (2021). Deep learning enables fast and dense single-molecule localization with high accuracy. Nature Methods. 18(9). 1082–1090. 152 indexed citations
13.
Wagner, Nils, Fynn Beuttenmueller, Nils Norlin, et al.. (2021). Deep learning-enhanced light-field imaging with continuous validation. Nature Methods. 18(5). 557–563. 91 indexed citations
14.
Vijayan, Athul, Rachele Tofanelli, Soeren Strauss, et al.. (2021). A digital 3D reference atlas reveals cellular growth patterns shaping the Arabidopsis ovule. eLife. 10. 55 indexed citations
15.
Vergara, Hernando Martínez, Constantin Pape, Kimberly Meechan, et al.. (2021). Whole-body integration of gene expression and single-cell morphology. Cell. 184(18). 4819–4837.e22. 55 indexed citations
16.
Silvestri, Ludovico, Marie Caroline Müllenbroich, Irene Costantini, et al.. (2021). Universal autofocus for quantitative volumetric microscopy of whole mouse brains. Nature Methods. 18(8). 953–958. 38 indexed citations
17.
Berg, Stuart, Dominik Kutra, Thorben Kroeger, et al.. (2019). ilastik: interactive machine learning for (bio)image analysis. Nature Methods. 16(12). 1226–1232. 1844 indexed citations breakdown →
18.
Haubold, Carsten, Martin Schiegg, Anna Kreshuk, et al.. (2016). Segmenting and Tracking Multiple Dividing Targets Using ilastik. Advances in anatomy, embryology and cell biology. 219. 199–229. 35 indexed citations
19.
Kreshuk, Anna, et al.. (2014). Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks. PLoS ONE. 9(2). e87351–e87351. 35 indexed citations
20.
Maco, Bohumil, Anthony Holtmaat, Marco Cantoni, et al.. (2013). Correlative In Vivo 2 Photon and Focused Ion Beam Scanning Electron Microscopy of Cortical Neurons. PLoS ONE. 8(2). e57405–e57405. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christoph Straehle Breakdown of academic impact, for papers by Christoph Sommer Breakdown of academic impact, for papers by Ullrich Koethe Breakdown of academic impact, for papers by Fernando Amat Breakdown of academic impact, for papers by Jérôme Boulanger Breakdown of academic impact, for papers by Thorsten Beier Breakdown of academic impact, for papers by Martin Schiegg Breakdown of academic impact, for papers by Thorben Kroeger Breakdown of academic impact, for papers by Carsten Haubold Breakdown of academic impact, for papers by Bernhard X. Kausler
Rankless by CCL
2026