Anna Kreshuk
Impact in
- Structural Biology top 0.5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 0.1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
- Biophysics 23
- Cell Image Analysis Techniques 19
- Advanced Fluorescence Microscopy Techniques 10
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- Single-cell and spatial transcriptomics 4
- Pluripotent Stem Cells Research 3
- Co-authors
- Fred A. Hamprecht (18 shared papers)Ullrich Koethe (7 shared papers)Christoph Straehle (4 shared papers)Adrian Wolny (9 shared papers)Fynn Beuttenmueller (2 shared papers)Thorsten Beier (5 shared papers)Carsten Haubold (2 shared papers)Stuart Berg (2 shared papers)
- Journals
- Nature Methods (6 papers)PLoS ONE (3 papers)eLife (2 papers)The Journal of Comparative Neurology (2 papers)International Journal of Mass Spectrometry (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Anna Kreshuk
37 papers receiving 3.2k citations
Anna Kreshuk's Hit Papers
Peers
Comparison fields: 5 of 173
- Structural Biology 365
- Biophysics 1.1k
- Media Technology 209
- Cell Biology 322
- Aging 30
Countries citing papers authored by Anna Kreshuk
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
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-authors
The 25 scholars most cited alongside Anna Kreshuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ilastik: interactive machine learning for (bio)image analysis Hit paper breakdown → | 2019 | 1954 |
| 2 | 2021 | 161 | |
| 3 | 2022 | 110 | |
| 4 | 2021 | 99 | |
| 5 | 2011 | 96 | |
| 6 | 2015 | 78 | |
| 7 | 2023 | 74 | |
| 8 | 2019 | 67 | |
| 9 | 2013 | 62 | |
| 10 | 2021 | 60 | |
| 11 | 2021 | 58 | |
| 12 | 2021 | 40 | |
| 13 | 2014 | 35 | |
| 14 | 2016 | 35 | |
| 15 | 2014 | 33 | |
| 16 | 2020 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2019 | 22 | |
| 20 | 2023 | 20 |
About Anna Kreshuk
Anna Kreshuk is a scholar working on Biophysics, Molecular Biology, Structural Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (19 papers), Advanced Electron Microscopy Techniques and Applications (10 papers), Advanced Fluorescence Microscopy Techniques (10 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Single-cell and spatial transcriptomics (4 papers), Image Processing Techniques and Applications (4 papers), Pluripotent Stem Cells Research (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Structural Biology (365 citations), Biophysics (1.1k citations), Media Technology (209 citations), Cell Biology (322 citations) and Aging (30 citations). Anna Kreshuk has collaborated with scholars based in Germany, Switzerland and United States. Frequent 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. Their work appears in journals such as Nature Methods, PLoS ONE, eLife, The Journal of Comparative Neurology and International Journal of Mass Spectrometry.
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.