Veit Riechmann

1.5k total citations
23 papers, 1.2k citations indexed

About

Veit Riechmann is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Veit Riechmann has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cell Biology and 3 papers in Plant Science. Recurrent topics in Veit Riechmann's work include Developmental Biology and Gene Regulation (10 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Veit Riechmann is often cited by papers focused on Developmental Biology and Gene Regulation (10 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Veit Riechmann collaborates with scholars based in Germany, United States and Norway. Veit Riechmann's co-authors include Anne Ephrussi, Fred Sablitzky, Maria Leptin, Ying Wang, Kristin C. Gunsalus, Pavel Tomančák, Fabio Piano, Kenneth J. Kemphues, Uwe Irion and Robert Wilson and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Veit Riechmann

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veit Riechmann Germany 14 926 419 143 136 134 23 1.2k
Catherine M. Davidson United Kingdom 12 830 0.9× 514 1.2× 144 1.0× 69 0.5× 187 1.4× 14 1.3k
Amin S. Ghabrial United States 14 1.1k 1.2× 542 1.3× 238 1.7× 146 1.1× 310 2.3× 20 1.5k
Anthea Letsou United States 19 1.2k 1.3× 243 0.6× 150 1.0× 241 1.8× 170 1.3× 29 1.5k
Judith L. Leatherman United States 16 981 1.1× 235 0.6× 84 0.6× 334 2.5× 132 1.0× 21 1.3k
Stephen L. Gregory Australia 19 965 1.0× 879 2.1× 90 0.6× 129 0.9× 205 1.5× 35 1.6k
Roger Albertson United States 11 808 0.9× 793 1.9× 118 0.8× 73 0.5× 177 1.3× 12 1.3k
Christian Bökel Germany 17 883 1.0× 479 1.1× 136 1.0× 129 0.9× 238 1.8× 23 1.3k
Mayu Inaba United States 12 525 0.6× 264 0.6× 95 0.7× 94 0.7× 102 0.8× 24 712
L. S. Shashidhara India 21 925 1.0× 273 0.7× 137 1.0× 234 1.7× 254 1.9× 54 1.1k
Lilach Gilboa Israel 17 1.0k 1.1× 183 0.4× 116 0.8× 287 2.1× 255 1.9× 23 1.3k

Countries citing papers authored by Veit Riechmann

Since Specialization
Citations

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

Fields of papers citing papers by Veit Riechmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veit Riechmann

This figure shows the co-authorship network connecting the top 25 collaborators of Veit Riechmann. A scholar is included among the top collaborators of Veit Riechmann 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 Veit Riechmann. Veit Riechmann 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.
Förster, Dominique, et al.. (2023). Acute manipulation and real-time visualization of membrane trafficking and exocytosis in Drosophila. Developmental Cell. 58(8). 709–723.e7. 4 indexed citations
2.
Berns, Nicola, et al.. (2022). Myosin V facilitates polarised E‐cadherin secretion. Traffic. 23(7). 374–390. 6 indexed citations
3.
Berns, Nicola, et al.. (2020). RabX1 Organizes a Late Endosomal Compartment that Forms Tubular Connections to Lysosomes Consistent with a “Kiss and Run” Mechanism. Current Biology. 30(7). 1177–1188.e5. 3 indexed citations
4.
Reidenbach, Sonja, Tanja Schlechter, Nicola Berns, et al.. (2019). DLIC1, but not DLIC2, is upregulated in colon cancer and this contributes to proliferative overgrowth and migratory characteristics of cancer cells. FEBS Journal. 286(4). 803–820. 11 indexed citations
5.
Riechmann, Veit. (2017). In vivo RNAi in the Drosophila Follicular Epithelium: Analysis of Stem Cell Maintenance, Proliferation, and Differentiation. Methods in molecular biology. 1622. 185–206. 4 indexed citations
6.
Beretta, Carlo A., et al.. (2016). Three mechanisms control E-cadherin localization to the zonula adherens. Nature Communications. 7(1). 10834–10834. 46 indexed citations
7.
Berns, Nicola, et al.. (2014). A genome-scale in vivo RNAi analysis of epithelial development in Drosophila identifies new proliferation domains outside of the stem cell niche. Journal of Cell Science. 127(Pt 12). 2736–48. 25 indexed citations
8.
Berns, Nicola, et al.. (2012). “Vacuum-assisted staining”: a simple and efficient method for screening in Drosophila. Development Genes and Evolution. 222(2). 113–118. 3 indexed citations
9.
Wang, Ying, et al.. (2012). Tao controls epithelial morphogenesis by promoting Fasciclin 2 endocytosis. The Journal of Cell Biology. 199(7). 1131–1143. 34 indexed citations
10.
Gavis, Elizabeth R., et al.. (2011). A genetic in vivo system to detect asymmetrically distributed RNA. EMBO Reports. 12(11). 1167–1174. 6 indexed citations
11.
Franz, André & Veit Riechmann. (2009). Stepwise polarisation of the Drosophila follicular epithelium. Developmental Biology. 338(2). 136–147. 41 indexed citations
12.
Riechmann, Veit. (2007). Developmental Biology: Hippo Promotes Posterior Patterning by Preventing Proliferation. Current Biology. 17(23). R1006–R1008. 4 indexed citations
13.
Wang, Ying & Veit Riechmann. (2007). The Role of the Actomyosin Cytoskeleton in Coordination of Tissue Growth during Drosophila Oogenesis. Current Biology. 17(15). 1349–1355. 72 indexed citations
14.
Wang, Ying & Veit Riechmann. (2007). Microtubule anchoring by cortical actin bundles prevents streaming of the oocyte cytoplasm. Mechanisms of Development. 125(1-2). 142–152. 21 indexed citations
15.
Riechmann, Veit & Anne Ephrussi. (2001). Axis formation during Drosophila oogenesis. Current Opinion in Genetics & Development. 11(4). 374–383. 210 indexed citations
16.
Tomančák, Pavel, Fabio Piano, Veit Riechmann, et al.. (2000). A Drosophila melanogaster homologue of Caenorhabditis elegans par-1 acts at an early step in embryonic-axis formation. Nature Cell Biology. 2(7). 458–460. 146 indexed citations
17.
Fox, Margaret, et al.. (1998). Structure, chromosomal localisation and expression of the murine dominant negative helix-loop-helix Id4 gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1443(1-2). 55–64. 9 indexed citations
18.
Riechmann, Veit, et al.. (1998). The genetic control of the distinction between fat body and gonadal mesoderm in Drosophila. Development. 125(4). 713–723. 72 indexed citations
19.
Riechmann, Veit, et al.. (1997). Control of cell fates and segmentation in the Drosophila mesoderm. Development. 124(15). 2915–2922. 115 indexed citations
20.
Riechmann, Veit, et al.. (1994). The expression pattern ofId4, a novel dominant negative helix-loop-helix protein, is distinct fromId1,1d2andId3. Nucleic Acids Research. 22(5). 749–755. 245 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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