Rainer Nikolay

1.1k total citations
20 papers, 652 citations indexed

About

Rainer Nikolay is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Rainer Nikolay has authored 20 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Ecology. Recurrent topics in Rainer Nikolay's work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (7 papers) and Genomics and Phylogenetic Studies (5 papers). Rainer Nikolay is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (7 papers) and Genomics and Phylogenetic Studies (5 papers). Rainer Nikolay collaborates with scholars based in Germany, Switzerland and United States. Rainer Nikolay's co-authors include Matthias P. Mayer, Marta Stankiewicz-Kosyl, C.M.T. Spahn, Bo Qin, Vladimir Rybin, Elke Deuerling, C. Graf, Bernd Bukau, Wolfgang Rist and Günter Krämer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Rainer Nikolay

20 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rainer Nikolay Germany 13 556 108 99 87 76 20 652
Roopa Thapar United States 21 777 1.4× 66 0.6× 57 0.6× 109 1.3× 79 1.0× 31 865
Lixin Fan United States 16 541 1.0× 43 0.4× 56 0.6× 69 0.8× 44 0.6× 38 685
Gretel Buchwald Germany 11 972 1.7× 88 0.8× 58 0.6× 39 0.4× 97 1.3× 11 1.1k
Arpi Nazarian United States 10 654 1.2× 126 1.2× 102 1.0× 70 0.8× 100 1.3× 10 853
B. S. Negrutskii Ukraine 20 1.3k 2.3× 57 0.5× 51 0.5× 105 1.2× 91 1.2× 65 1.4k
Guilhem Chalancon United Kingdom 8 932 1.7× 58 0.5× 42 0.4× 55 0.6× 53 0.7× 10 1.0k
Christian Poitras Canada 13 989 1.8× 71 0.7× 57 0.6× 55 0.6× 39 0.5× 19 1.1k
Nathan Wlodarchak United States 8 372 0.7× 84 0.8× 33 0.3× 52 0.6× 75 1.0× 12 544
T. Kotenyova Sweden 9 485 0.9× 98 0.9× 68 0.7× 24 0.3× 47 0.6× 9 616
Vanesa Fernández‐Sáiz Germany 14 494 0.9× 157 1.5× 60 0.6× 27 0.3× 63 0.8× 20 609

Countries citing papers authored by Rainer Nikolay

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Nikolay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Nikolay

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Nikolay. A scholar is included among the top collaborators of Rainer Nikolay 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 Rainer Nikolay. Rainer Nikolay 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.
Kim, Kyoohyun, Carsten Hoege, Benjamin M. Lorton, et al.. (2025). Conserved nucleocytoplasmic density homeostasis drives cellular organization across eukaryotes. Nature Communications. 16(1). 7597–7597. 2 indexed citations
2.
Krizsan, Andor, et al.. (2025). The proline-rich antimicrobial peptide Api137 disrupts large ribosomal subunit assembly and induces misfolding. Nature Communications. 16(1). 567–567. 1 indexed citations
3.
Klepacki, Dorota, Helmut Grubmüller, Lars V. Bock, et al.. (2024). Multimodal binding and inhibition of bacterial ribosomes by the antimicrobial peptides Api137 and Api88. Nature Communications. 15(1). 3945–3945. 9 indexed citations
4.
Seffouh, Amal, Rainer Nikolay, & Joaquı́n Ortega. (2024). Critical steps in the assembly process of the bacterial 50S ribosomal subunit. Nucleic Acids Research. 52(8). 4111–4123. 8 indexed citations
5.
Qin, Bo, Carlos H. Vieira-Vieira, Jörg Bürger, et al.. (2023). Cryo-EM captures early ribosome assembly in action. Nature Communications. 14(1). 898–898. 24 indexed citations
6.
Nikolay, Rainer, Tarek Hilal, Sabine Schmidt, et al.. (2021). Snapshots of native pre-50S ribosomes reveal a biogenesis factor network and evolutionary specialization. Molecular Cell. 81(6). 1200–1215.e9. 41 indexed citations
7.
Zhao, Jing, Bo Qin, Rainer Nikolay, C.M.T. Spahn, & Gong Zhang. (2019). Translatomics: The Global View of Translation. International Journal of Molecular Sciences. 20(1). 212–212. 71 indexed citations
8.
Zhao, Jing, Hong Zhang, Bo Qin, et al.. (2019). Multifaceted Stoichiometry Control of Bacterial Operons Revealed by Deep Proteome Quantification. Frontiers in Genetics. 10. 473–473. 9 indexed citations
9.
Nikolay, Rainer, Tarek Hilal, Bo Qin, et al.. (2018). Structural Visualization of the Formation and Activation of the 50S Ribosomal Subunit during In Vitro Reconstitution. Molecular Cell. 70(5). 881–893.e3. 38 indexed citations
10.
Renner, Florian, Stephen T.S. Lam, Felix Freuler, et al.. (2017). Two Antagonistic MALT1 Auto-Cleavage Mechanisms Reveal a Role for TRAF6 to Unleash MALT1 Activation. PLoS ONE. 12(1). e0169026–e0169026. 19 indexed citations
11.
Nikolay, Rainer, et al.. (2016). Ribosome Assembly as Antimicrobial Target. Antibiotics. 5(2). 18–18. 17 indexed citations
12.
Nikolay, Rainer, et al.. (2015). Fluorescence-based monitoring of ribosome assembly landscapes. BMC Molecular Biology. 16(1). 3–3. 5 indexed citations
13.
Nikolay, Rainer, et al.. (2014). Validation of a fluorescence-based screening concept to identify ribosome assembly defects inEscherichia coli. Nucleic Acids Research. 42(12). e100–e100. 12 indexed citations
14.
Wiesmann, Christian, Lukas Leder, Jutta Blank, et al.. (2012). Structural Determinants of MALT1 Protease Activity. Journal of Molecular Biology. 419(1-2). 4–21. 72 indexed citations
15.
Stankiewicz-Kosyl, Marta, Rainer Nikolay, Vladimir Rybin, & Matthias P. Mayer. (2010). CHIP participates in protein triage decisions by preferentially ubiquitinating Hsp70‐bound substrates. FEBS Journal. 277(16). 3353–3367. 85 indexed citations
16.
Graf, C., Marta Stankiewicz-Kosyl, Rainer Nikolay, & Matthias P. Mayer. (2010). Insights into the Conformational Dynamics of the E3 Ubiquitin Ligase CHIP in Complex with Chaperones and E2 Enzymes. Biochemistry. 49(10). 2121–2129. 39 indexed citations
17.
Gräf, Christine, et al.. (2008). A conserved cysteine motif essential for ceramide kinase function. Biochimie. 90(10). 1560–1565. 11 indexed citations
18.
Gawliński, Paweł, Rainer Nikolay, Steffen Lawo, et al.. (2007). The Drosophila mitotic inhibitor Frühstart specifically binds to the hydrophobic patch of cyclins. EMBO Reports. 8(5). 490–496. 21 indexed citations
19.
Wegrzyn, Renee D., Diana Hofmann, Frieder Merz, et al.. (2005). A Conserved Motif Is Prerequisite for the Interaction of NAC with Ribosomal Protein L23 and Nascent Chains. Journal of Biological Chemistry. 281(5). 2847–2857. 72 indexed citations
20.
Nikolay, Rainer, et al.. (2004). Dimerization of the Human E3 Ligase CHIP via a Coiled-coil Domain Is Essential for Its Activity. Journal of Biological Chemistry. 279(4). 2673–2678. 96 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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