Uwe Irion

1.9k total citations
31 papers, 1.3k citations indexed

About

Uwe Irion is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Uwe Irion has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Cell Biology and 6 papers in Ecology. Recurrent topics in Uwe Irion's work include RNA Research and Splicing (9 papers), Zebrafish Biomedical Research Applications (6 papers) and Developmental Biology and Gene Regulation (6 papers). Uwe Irion is often cited by papers focused on RNA Research and Splicing (9 papers), Zebrafish Biomedical Research Applications (6 papers) and Developmental Biology and Gene Regulation (6 papers). Uwe Irion collaborates with scholars based in Germany, United Kingdom and United States. Uwe Irion's co-authors include Christiane Nüsslein‐Volhard, Jana Krauß, Daniel St Johnston, Ajeet Pratap Singh, Maria Leptin, Hans Georg Frohnhöfer, Veit Riechmann, Robert Wilson, Hans‐Martin Maischein and Silke Geiger‐Rudolph and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Uwe Irion

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uwe Irion Germany	20	882	492	159	154	153	31	1.3k
Ajeet Pratap Singh Germany	17	447 0.5×	402 0.8×	217 1.4×	130 0.8×	132 0.9×	25	996
Jana Krauß Germany	12	567 0.6×	351 0.7×	125 0.8×	102 0.7×	101 0.7×	13	846
Edward Málaga‐Trillo Germany	17	782 0.9×	347 0.7×	79 0.5×	160 1.0×	266 1.7×	25	1.2k
Jeremy Nance United States	25	1.6k 1.8×	866 1.8×	137 0.9×	289 1.9×	76 0.5×	40	2.8k
Hans Georg Frohnhöfer Germany	12	1.2k 1.3×	329 0.7×	205 1.3×	329 2.1×	101 0.7×	15	1.5k
Linda S. Ross United States	19	974 1.1×	362 0.7×	523 3.3×	150 1.0×	221 1.4×	33	1.9k
Christian Söllner Germany	14	706 0.8×	283 0.6×	199 1.3×	104 0.7×	129 0.8×	16	1.4k
Christopher M. Dooley United Kingdom	14	816 0.9×	517 1.1×	58 0.4×	187 1.2×	120 0.8×	21	1.2k
Christina M. Laukaitis United States	18	464 0.5×	432 0.9×	137 0.9×	284 1.8×	30 0.2×	43	1.2k
Sophie Pantalacci France	16	940 1.1×	547 1.1×	397 2.5×	277 1.8×	197 1.3×	26	1.7k

Countries citing papers authored by Uwe Irion

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Irion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Irion

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

All Works

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20 of 20 papers shown

Irion, Uwe, et al.. (2024). Efficient genome editing using modified Cas9 proteins in zebrafish. Biology Open. 13(4).

Singh, Ajeet Pratap, Zhenqiang Fu, Christopher M. Dooley, et al.. (2023). kcnj13 regulates pigment cell shapes in zebrafish and has diverged by cis-regulatory evolution between Danio species. Development. 150(16). 2 indexed citations

Machoňová, Olga, António Pombinho, Tjakko J. van Ham, et al.. (2022). M-CSFR/CSF1R signaling regulates myeloid fates in zebrafish via distinct action of its receptors and ligands. Blood Advances. 6(5). 1474–1488. 11 indexed citations

Irion, Uwe & Christiane Nüsslein‐Volhard. (2022). Developmental genetics with model organisms. Proceedings of the National Academy of Sciences. 119(30). e2122148119–e2122148119. 41 indexed citations

Kamenev, Dmitrii, Kazunori Sunadome, Andrei S. Chagin, et al.. (2021). Schwann cell precursors generate sympathoadrenal system during zebrafish development. Journal of Neuroscience Research. 99(10). 2540–2557. 11 indexed citations

Frohnhöfer, Hans Georg, et al.. (2020). Evolution of the potassium channel gene Kcnj13 underlies colour pattern diversification in Danio fish. Nature Communications. 11(1). 6230–6230. 16 indexed citations

Frohnhöfer, Hans Georg, et al.. (2020). Galanin Signaling in the Brain Regulates Color Pattern Formation in Zebrafish. Current Biology. 30(2). 298–303.e3. 20 indexed citations

Cal, Laura, Paula Suárez‐Bregua, Ingo Braasch, et al.. (2019). Loss‐of‐function mutations in the melanocortin 1 receptor cause disruption of dorso‐ventral countershading in teleost fish. Pigment Cell & Melanoma Research. 32(6). 817–828. 31 indexed citations

Mendoza-García, Patricia, Uwe Irion, Jikui Guan, et al.. (2018). ALKALs are in vivo ligands for ALK family receptor tyrosine kinases in the neural crest and derived cells. Proceedings of the National Academy of Sciences. 115(4). E630–E638. 53 indexed citations

10.

Basquin, Claire, et al.. (2018). The crystal structure of Staufen1 in complex with a physiological RNA sheds light on substrate selectivity. Life Science Alliance. 1(5). e201800187–e201800187. 17 indexed citations

11.

Veith, Katharina, Katharina Kramer, Claire Basquin, et al.. (2016). The bicoid mRNA localization factor Exuperantia is an RNA-binding pseudonuclease. Nature Structural & Molecular Biology. 23(8). 705–713. 14 indexed citations

12.

Singh, Ajeet Pratap, April Dinwiddie, Ursula Schach, et al.. (2016). Pigment Cell Progenitors in Zebrafish Remain Multipotent through Metamorphosis. Developmental Cell. 38(3). 316–330. 68 indexed citations

13.

Irion, Uwe, Ajeet Pratap Singh, & Christiane Nüsslein‐Volhard. (2016). The Developmental Genetics of Vertebrate Color Pattern Formation. Current topics in developmental biology. 117. 141–169. 59 indexed citations

14.

Irion, Uwe. (2012). Drosophila muscleblind Codes for Proteins with One and Two Tandem Zinc Finger Motifs. PLoS ONE. 7(3). e34248–e34248. 13 indexed citations

15.

Nashchekin, Dmitry, Lucy Wheatley, Uwe Irion, et al.. (2011). Anterior–Posterior Axis Specification in Drosophila Oocytes: Identification of Novel bicoid and oskar mRNA Localization Factors. Genetics. 188(4). 883–896. 31 indexed citations

16.

Irion, Uwe & Daniel St Johnston. (2007). bicoid RNA localization requires specific binding of an endosomal sorting complex. Nature. 445(7127). 554–558. 157 indexed citations

17.

Irion, Uwe, et al.. (2006). Miranda couples oskar mRNA/Staufen complexes to the bicoid mRNA localization pathway. Developmental Biology. 297(2). 522–533. 19 indexed citations

18.

Irion, Uwe, Maria Leptin, Karsten H. Siller, et al.. (2004). Abstrakt, a DEAD Box Protein, Regulates Insc Levels and Asymmetric Division of Neural and Mesodermal Progenitors. Current Biology. 14(2). 138–144. 15 indexed citations

19.

Irion, Uwe & Maria Leptin. (1999). Developmental and cell biological functions of the Drosophila DEAD-box protein Abstrakt. Current Biology. 9(23). 1373–1381. 32 indexed citations

20.

Riechmann, Veit, et al.. (1997). Control of cell fates and segmentation in the Drosophila mesoderm. Development. 124(15). 2915–2922. 115 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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