Christopher Schmied

1.8k total citations · 1 hit paper
19 papers, 726 citations indexed

About

Christopher Schmied is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Christopher Schmied has authored 19 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Biophysics and 5 papers in Cell Biology. Recurrent topics in Christopher Schmied's work include Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (9 papers) and Lipid Membrane Structure and Behavior (4 papers). Christopher Schmied is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (9 papers) and Lipid Membrane Structure and Behavior (4 papers). Christopher Schmied collaborates with scholars based in Germany, United States and Italy. Christopher Schmied's co-authors include Pavel Tomančák, Katharina Meixner, Franz Gruber, Julius Brennecke, Dominik Handler, Tobias Pietzsch, Jan Huisken, Florian Jug, Deborah Schmidt and J.R. Deschamps and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Christopher Schmied

18 papers receiving 717 citations

Hit Papers

LABKIT: Labeling and Segmentation Toolkit for Big Image Data 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Schmied Germany 13 396 164 152 129 86 19 726
Andrea Thor United States 10 1.1k 2.7× 84 0.5× 128 0.8× 214 1.7× 39 0.5× 14 1.5k
Henry Haeberle United States 11 400 1.0× 77 0.5× 74 0.5× 61 0.5× 145 1.7× 12 911
Honda Naoki Japan 16 468 1.2× 119 0.7× 39 0.3× 274 2.1× 123 1.4× 40 885
Katlijn Vints Belgium 14 511 1.3× 54 0.3× 88 0.6× 274 2.1× 66 0.8× 19 1.1k
Noushin Koulena United States 7 1.5k 3.8× 343 2.1× 137 0.9× 48 0.4× 101 1.2× 9 1.8k
Anna M. Steyer Germany 15 561 1.4× 83 0.5× 36 0.2× 201 1.6× 21 0.2× 32 914
Roderick P. Tas Netherlands 17 448 1.1× 104 0.6× 51 0.3× 514 4.0× 39 0.5× 35 908
Rie Takayama Japan 10 313 0.8× 124 0.8× 82 0.5× 87 0.7× 63 0.7× 15 530
Yoshitaka Kimori Japan 14 244 0.6× 44 0.3× 107 0.7× 27 0.2× 23 0.3× 22 523
Merja Joensuu Australia 15 606 1.5× 137 0.8× 34 0.2× 442 3.4× 27 0.3× 22 1.1k

Countries citing papers authored by Christopher Schmied

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Schmied

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Schmied

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Schmied. A scholar is included among the top collaborators of Christopher Schmied 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 Christopher Schmied. Christopher Schmied is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Beese, Carsten Jörn, et al.. (2025). Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data. Journal of Chemical Information and Modeling. 65(2). 528–543.
2.
Schmied, Christopher, et al.. (2024). OrgaMapper: a robust and easy-to-use workflow for analyzing organelle positioning. BMC Biology. 22(1). 220–220. 4 indexed citations
3.
Petzoldt, Astrid G., Narasimha Swamy Telugu, Sebastian Diecke, et al.. (2023). Phosphatidylinositol 3,5-bisphosphate facilitates axonal vesicle transport and presynapse assembly. Science. 382(6667). 223–230. 22 indexed citations
4.
Kaempf, Natalie, Dmytro Puchkov, M. Krauß, et al.. (2023). Synaptotagmin 1-triggered lipid signaling facilitates coupling of exo- and endocytosis. Neuron. 111(23). 3900–3900. 2 indexed citations
5.
Kaempf, Natalie, Dmytro Puchkov, M. Krauß, et al.. (2023). Synaptotagmin 1-triggered lipid signaling facilitates coupling of exo- and endocytosis. Neuron. 111(23). 3765–3774.e7. 19 indexed citations
6.
Ebner, Michael, Dmytro Puchkov, Orestes López‐Ortega, et al.. (2023). Nutrient-regulated control of lysosome function by signaling lipid conversion. Cell. 186(24). 5328–5346.e26. 43 indexed citations
7.
Schmied, Christopher, Jenny Eichhorst, Nina Himmerkus, et al.. (2022). Nanoscale segregation of channel and barrier claudins enables paracellular ion flux. Nature Communications. 13(1). 4985–4985. 44 indexed citations
8.
Arzt, Matthias, J.R. Deschamps, Christopher Schmied, et al.. (2022). LABKIT: Labeling and Segmentation Toolkit for Big Image Data. Frontiers in Computer Science. 4. 156 indexed citations breakdown →
9.
Schmied, Christopher, Andreas Krämer, Benedict‐Tilman Berger, et al.. (2022). Aurora Kinase A Is Involved in Controlling the Localization of Aquaporin-2 in Renal Principal Cells. International Journal of Molecular Sciences. 23(2). 763–763. 5 indexed citations
10.
Schmied, Christopher, et al.. (2021). SynActJ: Easy-to-Use Automated Analysis of Synaptic Activity. Frontiers in Computer Science. 3. 6 indexed citations
11.
Asokan, Nandini, Stephan Daetwyler, Christopher Schmied, et al.. (2020). Long-term in vivo imaging reveals tumor-specific dissemination and captures host tumor interaction in zebrafish xenografts. Scientific Reports. 10(1). 13254–13254. 22 indexed citations
13.
Icha, Jaroslav, Christopher Schmied, Jaydeep Sidhaye, et al.. (2016). Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development. Journal of Visualized Experiments. e53966–e53966. 33 indexed citations
14.
Schmied, Christopher & Pavel Tomančák. (2016). Sample Preparation and Mounting of Drosophila Embryos for Multiview Light Sheet Microscopy. Methods in molecular biology. 1478. 189–202. 19 indexed citations
15.
Icha, Jaroslav, Christopher Schmied, Jaydeep Sidhaye, et al.. (2016). Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development. Journal of Visualized Experiments. 7 indexed citations
16.
Jahr, Wiebke, Benjamin Schmid, Christopher Schmied, Florian O. Fahrbach, & Jan Huisken. (2015). Hyperspectral light sheet microscopy. Nature Communications. 6(1). 7990–7990. 94 indexed citations
17.
Schmied, Christopher, Peter Steinbach, Tobias Pietzsch, Stephan Preibisch, & Pavel Tomančák. (2015). An automated workflow for parallel processing of large multiview SPIM recordings. Bioinformatics. 32(7). 1112–1114. 19 indexed citations
18.
Schmied, Christopher, Evangelia Stamataki, & Pavel Tomančák. (2014). Open-source solutions for SPIMage processing. Methods in cell biology. 123. 505–529. 12 indexed citations
19.
Handler, Dominik, et al.. (2013). The Genetic Makeup of the Drosophila piRNA Pathway. Molecular Cell. 50(5). 762–777. 177 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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