Annika Kötter

2.7k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Annika Kötter is a scholar working on Molecular Biology, Cancer Research and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Annika Kötter has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Annika Kötter's work include RNA modifications and cancer (14 papers), RNA and protein synthesis mechanisms (7 papers) and Cancer-related molecular mechanisms research (6 papers). Annika Kötter is often cited by papers focused on RNA modifications and cancer (14 papers), RNA and protein synthesis mechanisms (7 papers) and Cancer-related molecular mechanisms research (6 papers). Annika Kötter collaborates with scholars based in Germany, France and United Kingdom. Annika Kötter's co-authors include Mark Helm, Janusz M. Bujnicki, Patrick A. Limbach, Błażej Bagiński, Tomasz Wirecki, Valérie de Crécy‐Lagard, Pietro Boccaletto, Paweł Piątkowski, Magdalena A. Machnicka and Elżbieta Purta and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and The EMBO Journal.

In The Last Decade

Annika Kötter

15 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MODOMICS: a database of RNA modification pathways. 2017 update

2017 1.4k citations Pietro Boccaletto, Magdalena A. Machnicka et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annika Kötter Germany	11	1.8k	647	149	109	35	15	1.8k
Pietro Boccaletto Poland	9	2.2k 1.3×	790 1.2×	142 1.0×	149 1.4×	39 1.1×	10	2.3k
Magdalena A. Machnicka Poland	7	2.3k 1.3×	729 1.1×	118 0.8×	132 1.2×	43 1.2×	9	2.4k
Błażej Bagiński Spain	6	1.4k 0.8×	507 0.8×	73 0.5×	97 0.9×	23 0.7×	7	1.4k
Wesley C. Clark United States	12	2.1k 1.2×	834 1.3×	103 0.7×	63 0.6×	25 0.7×	14	2.2k
Andrea Cappannini Poland	7	808 0.5×	306 0.5×	87 0.6×	48 0.4×	22 0.6×	10	892
Angana Ray India	8	815 0.5×	260 0.4×	57 0.4×	53 0.5×	20 0.6×	10	904
Valentina Migliori Italy	8	1.8k 1.0×	723 1.1×	104 0.7×	161 1.5×	18 0.5×	9	1.9k
Yibin Liu China	10	821 0.5×	290 0.4×	36 0.2×	17 0.2×	29 0.8×	15	944
Anna Olchowik Poland	2	951 0.5×	228 0.4×	46 0.3×	35 0.3×	19 0.5×	3	970
Abdullah Ozer United States	15	861 0.5×	205 0.3×	32 0.2×	22 0.2×	18 0.5×	21	1.0k

Countries citing papers authored by Annika Kötter

Since Specialization

Citations

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

Fields of papers citing papers by Annika Kötter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Kötter

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

All Works

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15 of 15 papers shown

1.

Fradejas‐Villar, Noelia, Wenchao Zhao, Uwe Reuter, et al.. (2021). The Effect of tRNA[Ser]Sec Isopentenylation on Selenoprotein Expression. International Journal of Molecular Sciences. 22(21). 11454–11454. 11 indexed citations

2.

Dávalos, Verónica, David Piñeyro, Alberto Bueno-Costa, et al.. (2021). Gene Amplification-Associated Overexpression of the Selenoprotein tRNA Enzyme TRIT1 Confers Sensitivity to Arsenic Trioxide in Small-Cell Lung Cancer. Cancers. 13(8). 1869–1869. 9 indexed citations

3.

Kötter, Annika, et al.. (2020). 5-methylcytosine modification of an Epstein–Barr virus noncoding RNA decreases its stability. RNA. 26(8). 1038–1048. 31 indexed citations

4.

Navarro, Isabela Cunha, Francesca Tuorto, Carine Legrand, et al.. (2020). Translational adaptation to heat stress is mediated by RNA 5‐methylcytosine in Caenorhabditis elegans. The EMBO Journal. 40(6). e105496–e105496. 31 indexed citations

5.

Vilardo, Elisa, Fabian Amman, Ursula Toth, et al.. (2020). Functional characterization of the human tRNA methyltransferases TRMT10A and TRMT10B. Nucleic Acids Research. 48(11). 6157–6169. 46 indexed citations

6.

Meyer, Britta, Steffen Kaiser, Sunny Sharma, et al.. (2019). Identification of the 3-amino-3-carboxypropyl (acp) transferase enzyme responsible for acp3U formation at position 47 in Escherichia coli tRNAs. Nucleic Acids Research. 48(3). 1435–1450. 31 indexed citations

7.

Boutin, Sébastien, Annika Kötter, Florian Pichot, et al.. (2019). 2′-O-methylation within prokaryotic and eukaryotic tRNA inhibits innate immune activation by endosomal Toll-like receptors but does not affect recognition of whole organisms. RNA. 25(7). 869–880. 29 indexed citations

8.

Kötter, Annika, et al.. (2019). Analysis of the Cellular Roles of MOCS3 Identifies a MOCS3-Independent Localization of NFS1 at the Tips of the Centrosome. Biochemistry. 58(13). 1786–1798. 8 indexed citations

9.

Carter, Jean-Michel, Igor Ruiz de los Mozos, Annika Kötter, et al.. (2019). FICC-Seq: a method for enzyme-specified profiling of methyl-5-uridine in cellular RNA. Nucleic Acids Research. 47(19). e113–e113. 53 indexed citations

10.

Marchand, Virginie, Lilia Ayadi, Felix G.M. Ernst, et al.. (2018). AlkAniline‐Seq: Profiling of m⁷G and m³C RNA Modifications at Single Nucleotide Resolution. Angewandte Chemie International Edition. 57(51). 16785–16790. 141 indexed citations

11.

Marchand, Virginie, Lilia Ayadi, Felix G.M. Ernst, et al.. (2018). AlkAniline‐Seq: Profiling of m⁷G and m³C RNA Modifications at Single Nucleotide Resolution. Angewandte Chemie. 130(51). 17027–17032. 1 indexed citations

12.

Keller, Patrick, Annika Kötter, Stephan Werner, et al.. (2018). A Vastly Increased Chemical Variety of RNA Modifications Containing a Thioacetal Structure. Angewandte Chemie International Edition. 57(26). 7893–7897. 39 indexed citations

13.

Keller, Patrick, Annika Kötter, Stephan Werner, et al.. (2018). Die stark wachsende chemische Vielfalt der RNA‐Modifikationen enthält eine Thioacetalstruktur. Angewandte Chemie. 130(26). 8019–8024. 3 indexed citations

14.

Boccaletto, Pietro, Magdalena A. Machnicka, Elżbieta Purta, et al.. (2017). MODOMICS: a database of RNA modification pathways. 2017 update. Nucleic Acids Research. 46(D1). D303–D307. 1363 indexed citations breakdown →

15.

Kötter, Annika, Kerstin Cornils, Kerstin Borgmann, et al.. (2014). Inhibition of PARP1‐dependent end‐joining contributes to Olaparib‐mediated radiosensitization in tumor cells. Molecular Oncology. 8(8). 1616–1625. 44 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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