Jochen Guck

22.1k total citations · 7 hit papers
208 papers, 13.8k citations indexed

About

Jochen Guck is a scholar working on Cell Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jochen Guck has authored 208 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Cell Biology, 90 papers in Biomedical Engineering and 53 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jochen Guck's work include Cellular Mechanics and Interactions (99 papers), Microfluidic and Bio-sensing Technologies (50 papers) and 3D Printing in Biomedical Research (37 papers). Jochen Guck is often cited by papers focused on Cellular Mechanics and Interactions (99 papers), Microfluidic and Bio-sensing Technologies (50 papers) and 3D Printing in Biomedical Research (37 papers). Jochen Guck collaborates with scholars based in Germany, United Kingdom and United States. Jochen Guck's co-authors include Josef A. Käs, Kristian Franze, Revathi Ananthakrishnan, Bryan Lincoln, Stefan Schinkinger, Stéphanie P. Lacour, Falk Wottawah, Grégoire Courtine, Oliver Otto and C. Casey Cunningham and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Jochen Guck

200 papers receiving 13.6k citations

Hit Papers

Optical Deformability as ... 2001 2026 2009 2017 2005 2001 2009 2016 2015 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jochen Guck 6.4k 5.5k 3.3k 2.5k 1.7k 208 13.8k
Josef A. Käs 4.6k 0.7× 5.9k 1.1× 3.0k 0.9× 2.8k 1.1× 844 0.5× 219 12.2k
Viola Vogel 5.2k 0.8× 7.6k 1.4× 6.3k 1.9× 3.8k 1.5× 733 0.4× 264 19.0k
Andreas R. Bausch 3.9k 0.6× 4.5k 0.8× 2.8k 0.9× 2.3k 0.9× 705 0.4× 185 14.8k
Denis Wirtz 5.8k 0.9× 9.5k 1.7× 8.8k 2.7× 2.3k 0.9× 619 0.4× 258 22.5k
Frank Jülicher 5.8k 0.9× 10.3k 1.9× 12.6k 3.8× 2.7k 1.1× 1.4k 0.8× 317 27.5k
Michael W. Berns 5.5k 0.9× 2.8k 0.5× 5.3k 1.6× 2.7k 1.1× 706 0.4× 525 16.0k
Ning Wang 5.5k 0.9× 9.9k 1.8× 4.6k 1.4× 2.0k 0.8× 615 0.4× 115 15.3k
Micah Dembo 6.6k 1.0× 10.2k 1.9× 3.8k 1.1× 2.4k 0.9× 498 0.3× 103 17.0k
Ben Fabry 5.9k 0.9× 8.1k 1.5× 2.4k 0.7× 2.4k 0.9× 360 0.2× 186 14.3k
F. C. MacKintosh 6.1k 1.0× 9.9k 1.8× 3.9k 1.2× 4.4k 1.7× 374 0.2× 197 20.6k

Countries citing papers authored by Jochen Guck

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Guck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Guck

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Guck. A scholar is included among the top collaborators of Jochen Guck 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 Jochen Guck. Jochen Guck 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.
Kim, Kyoohyun, Carsten Hoege, Benjamin M. Lorton, et al.. (2025). Conserved nucleocytoplasmic density homeostasis drives cellular organization across eukaryotes. Nature Communications. 16(1). 7597–7597. 2 indexed citations
2.
Beck, Timon, Shada Abuhattum, Kyoohyun Kim, et al.. (2024). Estimation of the mass density of biological matter from refractive index measurements. SHILAP Revista de lepidopterología. 4(2). 100156–100156. 5 indexed citations
4.
Venturini, Valeria, Adrià Cañellas‐Socias, Carme Cortina, et al.. (2024). Membrane to cortex attachment determines different mechanical phenotypes in LGR5+ and LGR5- colorectal cancer cells. Nature Communications. 15(1). 3363–3363. 12 indexed citations
5.
Reichel, Felix, Ruchi Goswami, Salvatore Girardo, & Jochen Guck. (2024). High-throughput viscoelastic characterization of cells in hyperbolic microchannels. Lab on a Chip. 24(9). 2440–2453. 6 indexed citations
6.
Kabakova, Irina V., Jitao Zhang, Yuchen Xiang, et al.. (2024). Brillouin microscopy. Nature Reviews Methods Primers. 4(1). 34 indexed citations
7.
Kim, Geon, Hervé Hugonnet, Kyoohyun Kim, et al.. (2024). Holotomography. Nature Reviews Methods Primers. 4(1). 24 indexed citations
8.
Basu, Santanu Kumar, et al.. (2023). Shear rheology of methyl cellulose based solutions for cell mechanical measurements at high shear rates. Soft Matter. 19(9). 1739–1748. 18 indexed citations
9.
Reichel, Felix, et al.. (2023). A new hyperelastic lookup table for RT-DC. Soft Matter. 19(11). 2064–2073. 11 indexed citations
10.
Beck, Timon, Raimund Schlüßler, Paul Müller, et al.. (2022). In vivo assessment of mechanical properties during axolotl development and regeneration using confocal Brillouin microscopy. Open Biology. 12(6). 220078–220078. 8 indexed citations
11.
Kim, Kyoohyun, et al.. (2022). Quantitative imaging of Caenorhabditis elegans dauer larvae during cryptobiotic transition. Biophysical Journal. 121(7). 1219–1229. 9 indexed citations
12.
Bashant, Kathleen R, Nicole Toepfner, Nehal N. Mehta, et al.. (2020). The mechanics of myeloid cells. Biology of the Cell. 112(4). 103–112. 10 indexed citations
13.
Kim, Kyoohyun & Jochen Guck. (2020). The Relative Densities of Cytoplasm and Nuclear Compartments Are Robust against Strong Perturbation. Biophysical Journal. 119(10). 1946–1957. 45 indexed citations
14.
Reichel, Felix, Johannes Mauer, Ahmad Nawaz, et al.. (2019). High-Throughput Microfluidic Characterization of Erythrocyte Shapes and Mechanical Variability. Biophysical Journal. 117(1). 14–24. 49 indexed citations
15.
Surcel, Alexandra, Eric S. Schiffhauer, Dustin Thomas, et al.. (2019). Targeting Mechanoresponsive Proteins in Pancreatic Cancer: 4-Hydroxyacetophenone Blocks Dissemination and Invasion by Activating MYH14. Cancer Research. 79(18). 4665–4678. 51 indexed citations
16.
Holmes, David, Graeme Whyte, Joe Bailey, et al.. (2014). Separation of blood cells with differing deformability using deterministic lateral displacement. Interface Focus. 4(6). 20140011–20140011. 105 indexed citations
17.
Man, Si Ming, Andrew Ekpenyong, Panagiotis Tourlomousis, et al.. (2014). Actin polymerization as a key innate immune effector mechanism to control Salmonella infection. Proceedings of the National Academy of Sciences. 111(49). 17588–17593. 87 indexed citations
18.
Lautenschläger, Franziska, Stephan Paschke, Stefan Schinkinger, et al.. (2009). The regulatory role of cell mechanics for migration of differentiating myeloid cells. Proceedings of the National Academy of Sciences. 106(37). 15696–15701. 190 indexed citations
19.
Remmerbach, Torsten W., Falk Wottawah, Julia Dietrich, et al.. (2009). Oral Cancer Diagnosis by Mechanical Phenotyping. Cancer Research. 69(5). 1728–1732. 245 indexed citations
20.
Franze, Kristian, Jens Grosche, Serguei N. Skatchkov, et al.. (2007). Müller cells are living optical fibers in the vertebrate retina. Proceedings of the National Academy of Sciences. 104(20). 8287–8292. 296 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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