Jochen Gehrig

1.1k total citations
21 papers, 650 citations indexed

About

Jochen Gehrig is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Jochen Gehrig has authored 21 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Biophysics. Recurrent topics in Jochen Gehrig's work include Zebrafish Biomedical Research Applications (10 papers), Cell Image Analysis Techniques (6 papers) and Renal and related cancers (5 papers). Jochen Gehrig is often cited by papers focused on Zebrafish Biomedical Research Applications (10 papers), Cell Image Analysis Techniques (6 papers) and Renal and related cancers (5 papers). Jochen Gehrig collaborates with scholars based in Germany, United Kingdom and Switzerland. Jochen Gehrig's co-authors include Urban Liebel, Ferenc Müller, Jens H. Westhoff, Yavor Hadzhiev, Marco Ferg, Gunjan Pandey, Jonas Wittbrodt, Stefan Giselbrecht, Andreas Zaucker and Uwe Strähle and has published in prestigious journals such as Nature, The EMBO Journal and PLoS ONE.

In The Last Decade

Jochen Gehrig

20 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Gehrig Germany 12 419 197 86 67 58 21 650
Ceri E. Van Slyke United States 11 509 1.2× 103 0.5× 54 0.6× 102 1.5× 43 0.7× 17 666
Simone Schindler United States 12 418 1.0× 172 0.9× 34 0.4× 101 1.5× 54 0.9× 17 610
Sherry G. Clendenon United States 15 321 0.8× 209 1.1× 69 0.8× 53 0.8× 25 0.4× 28 671
Holly Paddock United States 7 311 0.7× 95 0.5× 27 0.3× 72 1.1× 31 0.5× 9 492
Haiyan Wan Singapore 14 528 1.3× 218 1.1× 25 0.3× 276 4.1× 26 0.4× 17 754
Asako Shindo Japan 13 518 1.2× 364 1.8× 29 0.3× 176 2.6× 15 0.3× 22 819
Ravindra Peravali Germany 13 182 0.4× 108 0.5× 39 0.5× 43 0.6× 14 0.2× 26 411
Malcolm E Fisher United Kingdom 12 442 1.1× 69 0.4× 36 0.4× 133 2.0× 26 0.4× 17 571
Christina James‐Zorn United States 10 433 1.0× 75 0.4× 21 0.2× 124 1.9× 30 0.5× 14 591
Maria Laura Idda Italy 15 507 1.2× 53 0.3× 24 0.3× 97 1.4× 265 4.6× 31 1.0k

Countries citing papers authored by Jochen Gehrig

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Gehrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Gehrig

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Gehrig. A scholar is included among the top collaborators of Jochen Gehrig 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 Gehrig. Jochen Gehrig 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.
Siegerist, Florian, et al.. (2023). A Novel High-Content Screening Assay Identified Belinostat as Protective in a FSGS—Like Zebrafish Model. Journal of the American Society of Nephrology. 34(12). 1977–1990. 6 indexed citations
2.
Artelt, Nadine, Neetika Nath, Andreas W. Kuß, et al.. (2022). The ShGlomAssay Combines High-Throughput Drug Screening With Downstream Analyses and Reveals the Protective Role of Vitamin D3 and Calcipotriol on Podocytes. Frontiers in Cell and Developmental Biology. 10. 838086–838086. 4 indexed citations
3.
Siegerist, Florian, et al.. (2022). FC076: Development of a High-Throughput in Vivo Drug Screening Assay Using a FSGS-Like Zebrafish Model. Nephrology Dialysis Transplantation. 37(Supplement_3).
4.
Gierten, Jakob, Christian Pylatiuk, Johannes Stegmaier, et al.. (2020). Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions. Scientific Reports. 10(1). 2046–2046. 65 indexed citations
5.
Gehrig, Jochen, et al.. (2020). Multi-template matching: a versatile tool for object-localization in microscopy images. BMC Bioinformatics. 21(1). 44–44. 22 indexed citations
6.
Westhoff, Jens H., Peter J. Steenbergen, Thomas Brückner, et al.. (2020). In vivo High-Content Screening in Zebrafish for Developmental Nephrotoxicity of Approved Drugs. Frontiers in Cell and Developmental Biology. 8. 583–583. 18 indexed citations
7.
Gehrig, Jochen, et al.. (2020). ImageJ/Fiji ROI 1-click tools for rapid manual image annotations and measurements. PubMed. 2020. 9 indexed citations
9.
Pandey, Gunjan, Jens H. Westhoff, Franz Schaefer, & Jochen Gehrig. (2019). A Smart Imaging Workflow for Organ-Specific Screening in a Cystic Kidney Zebrafish Disease Model. International Journal of Molecular Sciences. 20(6). 1290–1290. 13 indexed citations
10.
Gehrig, Jochen, Gunjan Pandey, & Jens H. Westhoff. (2018). Zebrafish as a Model for Drug Screening in Genetic Kidney Diseases. Frontiers in Pediatrics. 6. 183–183. 50 indexed citations
11.
Reischl, Markus, et al.. (2017). ZebrafishMiner: an open source software for interactive evaluation of domain-specific fluorescence in zebrafish. Current Directions in Biomedical Engineering. 3(2). 199–202. 2 indexed citations
12.
Basu, Swaraj, Yavor Hadzhiev, Giuseppe Petrosino, et al.. (2016). The Tetraodon nigroviridis reference transcriptome: developmental transition, length retention and microsynteny of long non-coding RNAs in a compact vertebrate genome. Scientific Reports. 6(1). 33210–33210. 12 indexed citations
13.
Zaucker, Andreas, Hugues Roest Crollius, Yavor Hadzhiev, et al.. (2014). Description of Embryonic Development of Spotted Green Pufferfish ( Tetraodon nigroviridis ). Zebrafish. 11(6). 509–517. 8 indexed citations
14.
Wittbrodt, Jonas, Urban Liebel, & Jochen Gehrig. (2014). Generation of orientation tools for automated zebrafish screening assays using desktop 3D printing. BMC Biotechnology. 14(1). 36–36. 51 indexed citations
15.
Haberle, Vanja, Nan Li, Yavor Hadzhiev, et al.. (2014). Two independent transcription initiation codes overlap on vertebrate core promoters. Nature. 507(7492). 381–385. 133 indexed citations
16.
Westhoff, Jens H., Stefan Giselbrecht, Miriam Schmidts, et al.. (2013). Development of an Automated Imaging Pipeline for the Analysis of the Zebrafish Larval Kidney. PLoS ONE. 8(12). e82137–e82137. 44 indexed citations
17.
Peravali, Ravindra, Jochen Gehrig, Stefan Giselbrecht, et al.. (2011). Automated feature detection and imaging for high-resolution screening of zebrafish embryos. BioTechniques. 50(5). 319–324. 56 indexed citations
18.
Gehrig, Jochen, Markus Reischl, Éva Kalmár, et al.. (2009). Automated high-throughput mapping of promoter-enhancer interactions in zebrafish embryos. Nature Methods. 6(12). 911–916. 87 indexed citations
19.
Ferg, Marco, Remo Sanges, Jochen Gehrig, et al.. (2007). The TATA-binding protein regulates maternal mRNA degradation and differential zygotic transcription in zebrafish. The EMBO Journal. 26(17). 3945–3956. 54 indexed citations
20.
Gehrig, Jochen, et al.. (1987). [Radiation proctocolitis following gynecologic radiotherapy: an endoscopic study].. PubMed. 117(36). 1326–32. 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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