Arndt F. Siekmann

4.3k total citations · 1 hit paper
43 papers, 3.0k citations indexed

About

Arndt F. Siekmann is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Arndt F. Siekmann has authored 43 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 22 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Arndt F. Siekmann's work include Angiogenesis and VEGF in Cancer (21 papers), Zebrafish Biomedical Research Applications (21 papers) and Congenital heart defects research (16 papers). Arndt F. Siekmann is often cited by papers focused on Angiogenesis and VEGF in Cancer (21 papers), Zebrafish Biomedical Research Applications (21 papers) and Congenital heart defects research (16 papers). Arndt F. Siekmann collaborates with scholars based in Germany, United States and Switzerland. Arndt F. Siekmann's co-authors include Nathan D. Lawson, Jeroen Bussmann, Scot A. Wolfe, John C. Moore, Laurence Covassin, Friedemann Kiefer, Michael J. Parsons, Shamila Yusuff, Sana S. Hasan and Steven D. Leach and has published in prestigious journals such as Nature, Nature Communications and Genes & Development.

In The Last Decade

Arndt F. Siekmann

43 papers receiving 3.0k citations

Hit Papers

Notch signalling limits a... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arndt F. Siekmann Germany 24 2.1k 1.2k 390 384 318 43 3.0k
Suk‐Won Jin United States 20 1.8k 0.8× 1.0k 0.8× 197 0.5× 288 0.8× 283 0.9× 34 2.7k
Mara E. Pitulescu Germany 20 2.6k 1.2× 877 0.7× 435 1.1× 388 1.0× 518 1.6× 24 3.8k
Peter C. Gray United States 31 2.5k 1.2× 543 0.4× 477 1.2× 234 0.6× 243 0.8× 54 3.4k
António Duarte Portugal 24 3.1k 1.4× 703 0.6× 518 1.3× 298 0.8× 561 1.8× 54 4.1k
Rui Benedito Spain 25 3.3k 1.6× 873 0.7× 622 1.6× 321 0.8× 651 2.0× 36 4.5k
Christian Mosimann United States 30 2.7k 1.3× 1.0k 0.8× 373 1.0× 182 0.5× 279 0.9× 56 3.5k
Luc Pardanaud France 21 2.6k 1.2× 1.2k 0.9× 746 1.9× 311 0.8× 270 0.8× 46 3.4k
Andrea Lundkvist Sweden 7 2.1k 1.0× 708 0.6× 313 0.8× 202 0.5× 426 1.3× 8 3.1k
Akihiko Shimono Japan 31 3.2k 1.5× 895 0.7× 384 1.0× 297 0.8× 239 0.8× 50 4.3k
Joseph H. McCarty United States 27 1.3k 0.6× 545 0.4× 401 1.0× 173 0.5× 235 0.7× 55 2.6k

Countries citing papers authored by Arndt F. Siekmann

Since Specialization
Citations

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

Fields of papers citing papers by Arndt F. Siekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arndt F. Siekmann. 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 Arndt F. Siekmann. The network helps show where Arndt F. Siekmann may publish in the future.

Co-authorship network of co-authors of Arndt F. Siekmann

This figure shows the co-authorship network connecting the top 25 collaborators of Arndt F. Siekmann. A scholar is included among the top collaborators of Arndt F. Siekmann 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 Arndt F. Siekmann. Arndt F. Siekmann 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.
Siekmann, Arndt F., et al.. (2024). Alk1/Endoglin signaling restricts vein cell size increases in response to hemodynamic cues. Angiogenesis. 28(1). 5–5. 1 indexed citations
2.
3.
Siekmann, Arndt F.. (2023). Biology of vascular mural cells. Development. 150(16). 12 indexed citations
6.
Tsaryk, Roman, Nora Yucel, Noèlia Díaz, et al.. (2022). Shear stress switches the association of endothelial enhancers from ETV/ETS to KLF transcription factor binding sites. Scientific Reports. 12(1). 4795–4795. 20 indexed citations
7.
Berlew, Erin E., Ivan A. Kuznetsov, Bomyi Lim, et al.. (2021). Temperature-responsive optogenetic probes of cell signaling. Nature Chemical Biology. 18(2). 152–160. 23 indexed citations
8.
Santoro, Massimo, Mônica Beltrame, Daniela Panáková, et al.. (2019). Advantages and Challenges of Cardiovascular and Lymphatic Studies in Zebrafish Research. Frontiers in Cell and Developmental Biology. 7. 89–89. 5 indexed citations
9.
Sugden, Wade W., Robert Meißner, Tinri Aegerter‐Wilmsen, et al.. (2017). Endoglin controls blood vessel diameter through endothelial cell shape changes in response to haemodynamic cues. Nature Cell Biology. 19(6). 653–665. 155 indexed citations
10.
Meißner, Robert, Wade W. Sugden, Arndt F. Siekmann, & Cornelia Denz. (2017). In vivo vascular flow profiling combined with optical tweezers based blood routing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10413. 104130H–104130H. 2 indexed citations
11.
Harrison, Michael R., Jeroen Bussmann, Ying Huang, et al.. (2015). Chemokine-Guided Angiogenesis Directs Coronary Vasculature Formation in Zebrafish. Developmental Cell. 33(4). 442–454. 118 indexed citations
12.
Xu, Cong, Stefan Volkery, & Arndt F. Siekmann. (2015). Intubation-based anesthesia for long-term time-lapse imaging of adult zebrafish. Nature Protocols. 10(12). 2064–2073. 31 indexed citations
13.
Lenard, Anna, Elín Ellertsdóttir, Lukas Herwig, et al.. (2013). Blood Flow Changes Coincide with Cellular Rearrangements during Blood Vessel Pruning in Zebrafish Embryos. PLoS ONE. 8(10). e75060–e75060. 89 indexed citations
14.
Siekmann, Arndt F., Markus Affolter, & Heinz‐Georg Belting. (2013). The tip cell concept 10 years after: New players tune in for a common theme. Experimental Cell Research. 319(9). 1255–1263. 63 indexed citations
15.
Kiefer, Friedemann & Arndt F. Siekmann. (2011). The role of chemokines and their receptors in angiogenesis. Cellular and Molecular Life Sciences. 68(17). 2811–2830. 100 indexed citations
16.
Lorent, Kristin, John C. Moore, Arndt F. Siekmann, Nathan D. Lawson, & Michael Pack. (2010). Reiterative use of the notch signal during zebrafish intrahepatic biliary development. Developmental Dynamics. 239(3). 855–864. 88 indexed citations
17.
Siekmann, Arndt F., Clive Standley, Kevin E. Fogarty, Scot A. Wolfe, & Nathan D. Lawson. (2009). Chemokine signaling guides regional patterning of the first embryonic artery. Genes & Development. 23(19). 2272–2277. 101 indexed citations
18.
Siekmann, Arndt F., Laurence Covassin, & Nathan D. Lawson. (2008). Modulation of VEGF signalling output by the Notch pathway. BioEssays. 30(4). 303–313. 119 indexed citations
19.
Siekmann, Arndt F. & Michael Brand. (2004). Distinct tissue‐specificity of three zebrafish ext1 genes encoding proteoglycan modifying enzymes and their relationship to somitic Sonic hedgehog signaling. Developmental Dynamics. 232(2). 498–505. 16 indexed citations
20.
Lügering, Norbert, R Stoll, Arndt F. Siekmann, et al.. (1995). Elevated Levels Of Activities Of  -Hexosaminidase And  -Mannosidase In Human Immunodeficiency Virus-Infected Patients. The Journal of Infectious Diseases. 171(3). 683–686. 10 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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