Daniel Kirrmaier

1.6k total citations · 1 hit paper
12 papers, 880 citations indexed

About

Daniel Kirrmaier is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Daniel Kirrmaier has authored 12 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Infectious Diseases. Recurrent topics in Daniel Kirrmaier's work include RNA and protein synthesis mechanisms (5 papers), Fungal and yeast genetics research (4 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Kirrmaier is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Fungal and yeast genetics research (4 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Kirrmaier collaborates with scholars based in Germany, Israel and Canada. Daniel Kirrmaier's co-authors include Michael Knop, Matthias Meurer, Konrad Herbst, Simon Anders, Viet Loan Dao Thi, Andrew Freistaedter, Lukas P. M. Kremer, Steeve Boulant, Dimitrios Papagiannidis and Petr Chlanda and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Kirrmaier

11 papers receiving 873 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.

A colorimetric RT-LAMP assay and LAMP-sequencing for detecting SARS-CoV-2 RNA in clinical samples

2020 482 citations Viet Loan Dao Thi, Konrad Herbst et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Kirrmaier Germany	9	641	369	365	160	76	12	880
Amanda R. Burnham‐Marusich United States	7	339 0.5×	153 0.4×	143 0.4×	48 0.3×	102 1.3×	13	622
Elena K. Davydova United States	15	671 1.0×	457 1.2×	61 0.2×	33 0.2×	21 0.3×	22	1.0k
Siwen Liu China	14	384 0.6×	93 0.3×	221 0.6×	16 0.1×	126 1.7×	23	599
Thomas J. Utley United States	17	417 0.7×	44 0.1×	204 0.6×	35 0.2×	268 3.5×	25	824
Carl A. Ascoli United States	9	370 0.6×	64 0.2×	81 0.2×	25 0.2×	77 1.0×	16	560
Benoît Van Driessche Belgium	14	521 0.8×	32 0.1×	175 0.5×	70 0.4×	114 1.5×	24	823
Kessler McCoy-Simandle United States	8	329 0.5×	55 0.1×	110 0.3×	57 0.4×	62 0.8×	11	567
Eric M. Towler United States	10	350 0.5×	42 0.1×	145 0.4×	33 0.2×	37 0.5×	16	553
Akiko Kobayashi Japan	18	437 0.7×	71 0.2×	97 0.3×	72 0.5×	18 0.2×	29	632
Katharina van Pee Germany	9	277 0.4×	79 0.2×	60 0.2×	31 0.2×	53 0.7×	12	479

Countries citing papers authored by Daniel Kirrmaier

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kirrmaier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kirrmaier

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

All Works

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12 of 12 papers shown

1.

Magalhães, Vladimir Gonçalves, Daniel Kirrmaier, Michael Knop, et al.. (2025). The hepatitis E virus capsid protein ORF2 counteracts cell-intrinsic antiviral responses to enable persistent replication in cell culture. PLoS Pathogens. 21(9). e1013516–e1013516.

2.

Fischer, Bernd, Matthias Meurer, Ilia Kats, et al.. (2021). Timer-based proteomic profiling of the ubiquitin-proteasome system reveals a substrate receptor of the GID ubiquitin ligase. Molecular Cell. 81(11). 2460–2476.e11. 37 indexed citations

3.

Herbst, Konrad, Matthias Meurer, Daniel Kirrmaier, et al.. (2021). Colorimetric RT-LAMP and LAMP-sequencing for Detecting SARS-CoV-2 RNA in Clinical Samples. BIO-PROTOCOL. 11(6). e3964–e3964. 3 indexed citations

4.

Herbst, Konrad, Matthias Meurer, Bahtiyar Kurtulmus, et al.. (2020). CRISPR-Cas12a–assisted PCR tagging of mammalian genes. The Journal of Cell Biology. 219(6). 40 indexed citations

5.

Kuster, David, T. Schmidt, Daniel Kirrmaier, et al.. (2020). Extensive 5′-surveillance guards against non-canonical NAD-caps of nuclear mRNAs in yeast. Nature Communications. 11(1). 5508–5508. 21 indexed citations

6.

Thi, Viet Loan Dao, Konrad Herbst, Kathleen Boerner, et al.. (2020). A colorimetric RT-LAMP assay and LAMP-sequencing for detecting SARS-CoV-2 RNA in clinical samples. Science Translational Medicine. 12(556). 482 indexed citations breakdown →

7.

Herbst, Konrad, Matthias Meurer, Daniel Kirrmaier, et al.. (2019). Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast. Nature Communications. 10(1). 11 indexed citations

8.

Meurer, Matthias, Ehud Sass, Ilia Kats, et al.. (2018). Genome-wide C-SWAT library for high-throughput yeast genome tagging. Nature Methods. 15(8). 598–600. 57 indexed citations

9.

Durrieu, L., Daniel Kirrmaier, Ilia Kats, et al.. (2018). Bicoid gradient formation mechanism and dynamics revealed by protein lifetime analysis. Molecular Systems Biology. 14(9). e8355–e8355. 39 indexed citations

10.

Rüthnick, Diana, Annett Neuner, Franziska Dietrich, et al.. (2017). Characterization of spindle pole body duplication reveals a regulatory role for nuclear pore complexes. The Journal of Cell Biology. 216(8). 2425–2442. 21 indexed citations

11.

Štefl, Martin, F. Huber, Anton Khmelinskii, et al.. (2017). Upregulation of SPS100 gene expression by an antisense RNA via a switch of mRNA isoforms with different stabilities. Nucleic Acids Research. 45(19). 11144–11158. 4 indexed citations

12.

Khmelinskii, Anton, Ewa Błaszczak, Marina Pantazopoulou, et al.. (2014). Protein quality control at the inner nuclear membrane. Nature. 516(7531). 410–413. 165 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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