Jan Eglinger

2.8k total citations
25 papers, 1.7k citations indexed

About

Jan Eglinger is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Jan Eglinger has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cell Biology. Recurrent topics in Jan Eglinger's work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (3 papers). Jan Eglinger is often cited by papers focused on RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (3 papers). Jan Eglinger collaborates with scholars based in Switzerland, Germany and United States. Jan Eglinger's co-authors include Eckhard Lammert, Jeffrey A. Chao, Franka Voigt, Grégory Roth, Boris Strilić, Daniel Matějů, Bastian Eichenberger, Tomáš Kučera, Michael R. Hughes and Elisabetta Dejana and has published in prestigious journals such as Cell, Nature Genetics and Molecular Cell.

In The Last Decade

Jan Eglinger

25 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Eglinger Switzerland 16 1.4k 287 102 100 84 25 1.7k
Daiki Kobayashi Japan 18 820 0.6× 184 0.6× 81 0.8× 121 1.2× 70 0.8× 37 1.3k
Takafumi Miyamoto Japan 17 1.1k 0.8× 210 0.7× 60 0.6× 181 1.8× 82 1.0× 44 1.5k
Jiashun Zheng United States 16 1.3k 1.0× 165 0.6× 92 0.9× 96 1.0× 154 1.8× 23 1.6k
Erin M. Langdon United States 11 1.5k 1.1× 319 1.1× 41 0.4× 159 1.6× 64 0.8× 14 1.8k
Vittoria Matafora Italy 21 879 0.6× 238 0.8× 76 0.7× 237 2.4× 73 0.9× 40 1.3k
James Messing United States 15 1.9k 1.4× 317 1.1× 40 0.4× 116 1.2× 96 1.1× 16 2.5k
Taofei Yin United States 21 798 0.6× 564 2.0× 41 0.4× 84 0.8× 62 0.7× 26 1.3k
Penelope Hayward United Kingdom 17 1.6k 1.1× 186 0.6× 50 0.5× 110 1.1× 191 2.3× 20 1.8k
Eiichiro Mori Japan 22 1.4k 1.0× 146 0.5× 84 0.8× 200 2.0× 85 1.0× 63 1.8k
Yi Jin United States 21 1.2k 0.9× 162 0.6× 134 1.3× 206 2.1× 94 1.1× 40 1.8k

Countries citing papers authored by Jan Eglinger

Since Specialization
Citations

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

Fields of papers citing papers by Jan Eglinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Eglinger

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Eglinger. A scholar is included among the top collaborators of Jan Eglinger 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 Jan Eglinger. Jan Eglinger 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.
Mach, Pia, Pavel Kos, Yinxiu Zhan, et al.. (2022). Cohesin and CTCF control the dynamics of chromosome folding. Nature Genetics. 54(12). 1907–1918. 137 indexed citations
2.
Hendriks, Gert‐Jan, et al.. (2020). Developmental function and state transitions of a gene expression oscillator in Caenorhabditis elegans. Molecular Systems Biology. 16(7). e9498–e9498. 53 indexed citations
3.
Matějů, Daniel, Bastian Eichenberger, Franka Voigt, et al.. (2020). Single-Molecule Imaging Reveals Translation of mRNAs Localized to Stress Granules. Cell. 183(7). 1801–1812.e13. 218 indexed citations
4.
Dietz, Christian, Curtis Rueden, Stefan Helfrich, et al.. (2020). Integration of the ImageJ Ecosystem in KNIME Analytics Platform. Frontiers in Computer Science. 2. 23 indexed citations
5.
Rueden, Curtis, Ellen T. Arena, Jan Eglinger, et al.. (2019). Scientific Community Image Forum: A discussion forum for scientific image software. PLoS Biology. 17(6). e3000340–e3000340. 25 indexed citations
6.
Voigt, Franka, Jennifer V. Gerbracht, Volker Boehm, et al.. (2019). Detection and quantification of RNA decay intermediates using XRN1-resistant reporter transcripts. Nature Protocols. 14(5). 1603–1633. 17 indexed citations
7.
Voigt, Franka, Jan Eglinger, & Jeffrey A. Chao. (2019). Quantification of mRNA Turnover in Living Cells: A Pipeline for TREAT Data Analysis. Methods in molecular biology. 75–88. 2 indexed citations
8.
Saito, Makoto, Daniel Heß, Jan Eglinger, et al.. (2018). Acetylation of intrinsically disordered regions regulates phase separation. Nature Chemical Biology. 15(1). 51–61. 220 indexed citations
9.
Voigt, Franka, Jan Eglinger, & Jeffrey A. Chao. (2017). Detection of the First Round of Translation: The TRICK Assay. Methods in molecular biology. 1649. 373–384. 7 indexed citations
10.
Voigt, Franka, Anna V. Kotrys, Yinxiu Zhan, et al.. (2017). The Dynamics of mRNA Turnover Revealed by Single-Molecule Imaging in Single Cells. Molecular Cell. 68(3). 615–625.e9. 152 indexed citations
11.
Hauer, M., Andrew Seeber, Vijender Singh, et al.. (2017). Histone degradation in response to DNA damage enhances chromatin dynamics and recombination rates. Nature Structural & Molecular Biology. 24(2). 99–107. 185 indexed citations
12.
Eglinger, Jan, et al.. (2017). Quantitative assessment of angiogenesis and pericyte coverage in human cell-derived vascular sprouts. Inflammation and Regeneration. 37(1). 2–2. 42 indexed citations
13.
Voigt, Franka, Hui Zhang, Xianying A. Cui, et al.. (2017). Single-Molecule Quantification of Translation-Dependent Association of mRNAs with the Endoplasmic Reticulum. Cell Reports. 21(13). 3740–3753. 62 indexed citations
14.
Seeber, Andrew, Nicole Hustedt, Ishan Deshpande, et al.. (2016). RPA Mediates Recruitment of MRX to Forks and Double-Strand Breaks to Hold Sister Chromatids Together. Molecular Cell. 64(5). 951–966. 51 indexed citations
15.
Hiner, Mark, et al.. (2016). tferr/Scripts: BAR 1.1.11. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Jain, Deepak, Daniel Eberhard, Jan Eglinger, et al.. (2015). DJ-1 Protects Pancreatic Beta Cells from Cytokine- and Streptozotocin-Mediated Cell Death. PLoS ONE. 10(9). e0138535–e0138535. 20 indexed citations
17.
Jain, Deepak, Ruchi Jain, Daniel Eberhard, et al.. (2012). Age- and diet-dependent requirement of DJ-1 for glucose homeostasis in mice with implications for human type 2 diabetes. Journal of Molecular Cell Biology. 4(4). 221–230. 87 indexed citations
18.
Strilić, Boris, Jan Eglinger, Michael Krieg, et al.. (2010). Electrostatic Cell-Surface Repulsion Initiates Lumen Formation in Developing Blood Vessels. Current Biology. 20(22). 2003–2009. 103 indexed citations
19.
Strilić, Boris, Tomáš Kučera, Jan Eglinger, et al.. (2009). The Molecular Basis of Vascular Lumen Formation in the Developing Mouse Aorta. Developmental Cell. 17(4). 505–515. 277 indexed citations
20.
Kučera, Tomáš, Jan Eglinger, Boris Strilić, & Eckhard Lammert. (2007). Vascular Lumen Formation from a Cell Biological Perspective. Novartis Foundation symposium. 283. 46–60. 6 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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