Aymelt Itzen

3.7k total citations
75 papers, 2.9k citations indexed

About

Aymelt Itzen is a scholar working on Molecular Biology, Cell Biology and Endocrinology. According to data from OpenAlex, Aymelt Itzen has authored 75 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 39 papers in Cell Biology and 19 papers in Endocrinology. Recurrent topics in Aymelt Itzen's work include Cellular transport and secretion (35 papers), Legionella and Acanthamoeba research (19 papers) and Erythrocyte Function and Pathophysiology (10 papers). Aymelt Itzen is often cited by papers focused on Cellular transport and secretion (35 papers), Legionella and Acanthamoeba research (19 papers) and Erythrocyte Function and Pathophysiology (10 papers). Aymelt Itzen collaborates with scholars based in Germany, Sweden and United Kingdom. Aymelt Itzen's co-authors include Roger S. Goody, Wulf Blankenfeldt, Matthias Müller, Stefan Schoebel, Julia Blümer, Lena K. Oesterlin, Christian Hedberg, Yao‐Wen Wu, Alexey Rak and Xiaomin Hou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Aymelt Itzen

74 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aymelt Itzen Germany 29 1.8k 1.2k 751 400 329 75 2.9k
Yuxin Mao United States 30 2.5k 1.4× 1.2k 1.0× 414 0.6× 364 0.9× 447 1.4× 59 3.6k
Maria Lyngaas Torgersen Norway 31 1.6k 0.9× 914 0.8× 333 0.4× 635 1.6× 504 1.5× 53 2.9k
Sven R. Carlsson Sweden 36 2.3k 1.3× 1.5k 1.2× 166 0.2× 1.0k 2.6× 1.0k 3.1× 65 4.1k
Adriana L. Rojas Spain 19 940 0.5× 644 0.5× 121 0.2× 123 0.3× 169 0.5× 44 1.6k
Ivan Matić Germany 28 3.4k 1.9× 393 0.3× 117 0.2× 790 2.0× 421 1.3× 45 4.4k
Yoshiko Ohno‐Iwashita Japan 40 2.5k 1.4× 846 0.7× 96 0.1× 511 1.3× 178 0.5× 73 3.6k
Sagar Bhogaraju Germany 16 1.3k 0.7× 514 0.4× 279 0.4× 215 0.5× 589 1.8× 27 1.9k
Markus C. Kerr Australia 21 1.3k 0.7× 856 0.7× 67 0.1× 250 0.6× 251 0.8× 28 2.1k
Simon Moshiach United States 13 925 0.5× 510 0.4× 105 0.1× 542 1.4× 915 2.8× 16 2.2k
Thomas Jarchau Germany 26 1.6k 0.9× 734 0.6× 286 0.4× 196 0.5× 70 0.2× 30 2.9k

Countries citing papers authored by Aymelt Itzen

Since Specialization
Citations

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

Fields of papers citing papers by Aymelt Itzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymelt Itzen

This figure shows the co-authorship network connecting the top 25 collaborators of Aymelt Itzen. A scholar is included among the top collaborators of Aymelt Itzen 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 Aymelt Itzen. Aymelt Itzen 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.
Colombo, Giorgio, et al.. (2025). The functional dynamics of FicD’s TPR domain are modulated by the interaction with ATP and BiP. Proceedings of the National Academy of Sciences. 122(34). e2500079122–e2500079122.
2.
Kielkowski, Pavel, et al.. (2024). Pronucleotide Probes Reveal a Diverging Specificity for AMPylation vs UMPylation of Human and Bacterial Nucleotide Transferases. Biochemistry. 63(5). 651–659. 1 indexed citations
3.
Pogenberg, Vivian, Christian Pett, Stefan Ernst, et al.. (2023). Dephosphocholination by Legionella effector Lem3 functions through remodelling of the switch II region of Rab1b. Nature Communications. 14(1). 2245–2245. 1 indexed citations
4.
Pogenberg, Vivian, Christoph Krisp, Soraya Mezouar, et al.. (2023). The DNA-binding induced (de)AMPylation activity of a Coxiella burnetii Fic enzyme targets Histone H3. Communications Biology. 6(1). 1124–1124. 1 indexed citations
5.
Gulen, Burak, Vivian Pogenberg, Christian Pett, et al.. (2021). Specificity of AMPylation of the human chaperone BiP is mediated by TPR motifs of FICD. Nature Communications. 12(1). 2426–2426. 23 indexed citations
6.
Itzen, Aymelt, et al.. (2021). Current Advances in Covalent Stabilization of Macromolecular Complexes for Structural Biology. Bioconjugate Chemistry. 32(5). 879–890. 4 indexed citations
7.
Pett, Christian, et al.. (2020). Monoclonal Anti-AMP Antibodies Are Sensitive and Valuable Tools for Detecting Patterns of AMPylation. iScience. 23(12). 101800–101800. 22 indexed citations
8.
Itzen, Aymelt, et al.. (2020). The trimer to monomer transition of Tumor Necrosis Factor-Alpha is a dynamic process that is significantly altered by therapeutic antibodies. Scientific Reports. 10(1). 9265–9265. 35 indexed citations
9.
Evans, Richard D., Deborah A. Briggs, Marta Cantero, et al.. (2019). Nucleotide exchange factor Rab3GEP requires DENN and non-DENN elements for activation and targeting of Rab27a. Journal of Cell Science. 132(9). 9 indexed citations
10.
Bräuning, Bastian, et al.. (2017). The protease GtgE from Salmonella exclusively targets inactive Rab GTPases. Nature Communications. 9(1). 44–44. 26 indexed citations
11.
Itzen, Aymelt, et al.. (2016). Adenylylation of Tyr77 stabilizes Rab1b GTPase in an active state: A molecular dynamics simulation analysis. Scientific Reports. 6(1). 19896–19896. 13 indexed citations
12.
Lai, Yu‐Chiang, Chandana Kondapalli, James B Procter, et al.. (2015). Phosphoproteomic screening identifies Rab GTP ases as novel downstream targets of PINK 1. The EMBO Journal. 34(22). 2840–2861. 135 indexed citations
13.
Li, Fu, Long Yi, Lei Zhao, et al.. (2014). The role of the hypervariable C-terminal domain in Rab GTPases membrane targeting. Proceedings of the National Academy of Sciences. 111(7). 2572–2577. 71 indexed citations
14.
Spiegel, Jochen, Philipp M. Cromm, Aymelt Itzen, et al.. (2014). Direct Targeting of Rab‐GTPase–Effector Interactions. Angewandte Chemie International Edition. 53(9). 2498–2503. 71 indexed citations
15.
Shkumatov, Alexander V., et al.. (2014). The structure of the N-terminal domain of the Legionella protein SidC. Journal of Structural Biology. 186(1). 188–194. 17 indexed citations
16.
Schroeder, Hendrik, et al.. (2012). Protein–DNA Arrays as Tools for Detection of Protein–Protein Interactions by Mass Spectrometry. ChemBioChem. 14(1). 92–99. 10 indexed citations
17.
Hagemann, Nina, Xiaomin Hou, Roger S. Goody, Aymelt Itzen, & Kai S. Erdmann. (2012). Crystal structure of the Rab binding domain of OCRL1 in complex with Rab8 and functional implications of the OCRL1/Rab8 module for Lowe syndrome. Small GTPases. 3(2). 107–110. 21 indexed citations
18.
Müller, Matthias, et al.. (2010). The Legionella Effector Protein DrrA AMPylates the Membrane Traffic Regulator Rab1b. Science. 329(5994). 946–949. 283 indexed citations
19.
Itzen, Aymelt & Roger S. Goody. (2010). GTPases involved in vesicular trafficking: Structures and mechanisms. Seminars in Cell and Developmental Biology. 22(1). 48–56. 81 indexed citations
20.
Schoebel, Stefan, Lena K. Oesterlin, Wulf Blankenfeldt, Roger S. Goody, & Aymelt Itzen. (2009). RabGDI Displacement by DrrA from Legionella Is a Consequence of Its Guanine Nucleotide Exchange Activity. Molecular Cell. 36(6). 1060–1072. 141 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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