Constantin Pape

3.0k total citations · 1 hit paper
20 papers, 404 citations indexed

About

Constantin Pape is a scholar working on Biophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Constantin Pape has authored 20 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Constantin Pape's work include Cell Image Analysis Techniques (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Constantin Pape is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Constantin Pape collaborates with scholars based in Germany, United Kingdom and United States. Constantin Pape's co-authors include Anna Kreshuk, Yannick Schwab, Christel Genoud, Kimberly Meechan, Benjamin Titze, Lucy Collinson, Kristina D. Micheva, Kedar Narayan, Aubrey V. Weigel and Christopher J. Peddie and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Constantin Pape

16 papers receiving 399 citations

Hit Papers

Segment Anything for Microscopy 2025 2026 2025 5 10 15 20 25
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. Segment Anything for Microscopy
    2025 29 citations Nabeel Khalid, Genevieve Buckley 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
Constantin Pape Germany 10 152 133 119 58 41 20 404
Anchi Cheng United States 6 92 0.6× 204 1.5× 219 1.8× 112 1.9× 51 1.2× 6 549
J Pulokas United States 3 92 0.6× 84 0.6× 103 0.9× 49 0.8× 48 1.2× 10 378
S Peltier United States 10 77 0.5× 249 1.9× 140 1.2× 105 1.8× 12 0.3× 22 624
Laurène Donati Switzerland 7 267 1.8× 193 1.5× 75 0.6× 44 0.8× 27 0.7× 10 622
Mark Richardson United States 5 115 0.8× 155 1.2× 51 0.4× 17 0.3× 29 0.7× 5 549
Umesh Adiga United States 5 195 1.3× 84 0.6× 32 0.3× 21 0.4× 88 2.1× 8 338
Estibaliz Gómez‐de‐Mariscal Portugal 9 175 1.2× 110 0.8× 20 0.2× 13 0.2× 32 0.8× 13 358
K. Kelley United States 6 39 0.3× 245 1.8× 189 1.6× 101 1.7× 9 0.2× 6 467
Christopher Churas United States 9 77 0.5× 269 2.0× 29 0.2× 9 0.2× 21 0.5× 13 449
George W. Ashdown United Kingdom 13 345 2.3× 257 1.9× 118 1.0× 8 0.1× 19 0.5× 17 743

Countries citing papers authored by Constantin Pape

Since Specialization
Citations

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

Fields of papers citing papers by Constantin Pape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantin Pape

This figure shows the co-authorship network connecting the top 25 collaborators of Constantin Pape. A scholar is included among the top collaborators of Constantin Pape 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 Constantin Pape. Constantin Pape 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.
Chen, Han, Constantin Cretu, Norbert Babai, et al.. (2025). Structure and function of otoferlin, a synaptic protein of sensory hair cells essential for hearing. Science Advances. 11(42). eady8532–eady8532. 1 indexed citations
2.
Khalid, Nabeel, et al.. (2025). Segment Anything for Microscopy. Nature Methods. 22(3). 579–591. 29 indexed citations breakdown →
3.
Pape, Constantin, et al.. (2025). MedicoSAM: Robust Improvement of SAM for Medical Imaging. IEEE Transactions on Medical Imaging. PP. 1–1.
4.
Chang, Hsin‐Fang, James Daniel, Xiao Yu Tian, et al.. (2025). Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis. Nature Communications. 16(1). 6450–6450. 1 indexed citations
5.
Harland, Luke, Tim Lohoff, Noushin Koulena, et al.. (2025). A spatiotemporal atlas of mouse gastrulation and early organogenesis to explore axial patterning and project in vitro models onto in vivo space. Cell Reports. 44(8). 116047–116047.
6.
Ruhwedel, Torben, et al.. (2024). Wrapped up: advancements in volume electron microscopy and application in myelin research. SHILAP Revista de lepidopterología. 1(2). 119–136.
7.
Gutierrez‐Barragan, Daniel, Bernadette Basilico, Silvia Di Angelantonio, et al.. (2023). Microglia complement signaling promotes neuronal elimination and normal brain functional connectivity. Cerebral Cortex. 33(21). 10750–10760. 7 indexed citations
8.
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
9.
Pape, Constantin, et al.. (2023). Reinforcement learning for instance segmentation with high-level priors. 3915–3924.
10.
Peddie, Christopher J., Christel Genoud, Anna Kreshuk, et al.. (2022). Volume electron microscopy. Nature Reviews Methods Primers. 2(1). 51–51. 97 indexed citations
11.
Wolny, Adrian, et al.. (2022). Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4392–4401. 9 indexed citations
12.
Bailoni, Alberto, Constantin Pape, Steffen Wolf, et al.. (2022). GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11635–11645. 9 indexed citations
13.
Wolny, Adrian, et al.. (2022). From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation. Frontiers in Computer Science. 4. 5 indexed citations
14.
Moore, Josh, Chris Allan, Sébastien Besson, et al.. (2021). OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies. Nature Methods. 18(12). 1496–1498. 66 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.
Tischer, Christian, Constantin Pape, Kimberly Meechan, et al.. (2021). MoBIE: A free and open-source platform for integration and cloud-based sharing of multi-modal correlative big image data. Microscopy and Microanalysis. 27(S1). 2588–2589. 1 indexed citations
17.
Neufeldt, Christopher J., Berati Cerikan, Vibhu Prasad, et al.. (2020). A Versatile Reporter System To Monitor Virus-Infected Cells and Its Application to Dengue Virus and SARS-CoV-2. Journal of Virology. 95(4). 22 indexed citations
18.
Saalfeld, Stephan, et al.. (2020). saalfeldlab/paintera: Paintera 0.23.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
19.
Wolf, Steffen, Alberto Bailoni, Constantin Pape, et al.. (2020). The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(10). 3724–3738. 25 indexed citations
20.
Pape, Constantin, Thorsten Beier, Peter Li, et al.. (2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. 1–10. 11 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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