Michael Knop

12.9k total citations · 3 hit papers
114 papers, 8.4k citations indexed

About

Michael Knop is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Michael Knop has authored 114 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 40 papers in Cell Biology and 14 papers in Biophysics. Recurrent topics in Michael Knop's work include Fungal and yeast genetics research (54 papers), Microtubule and mitosis dynamics (22 papers) and Ubiquitin and proteasome pathways (19 papers). Michael Knop is often cited by papers focused on Fungal and yeast genetics research (54 papers), Microtubule and mitosis dynamics (22 papers) and Ubiquitin and proteasome pathways (19 papers). Michael Knop collaborates with scholars based in Germany, United Kingdom and France. Michael Knop's co-authors include Christof Taxis, Gislene Pereira, Simone Reber, Anton Khmelinskii, Hiromi Maekawa, Maria M. Magiera, Carsten Janke, Étienne Schwob, Kim Nasmyth and Barbara Winsor and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Knop

110 papers receiving 8.3k citations

Hit Papers

A versatile toolbox for PCR‐based tagging of yeast genes:... 1999 2026 2008 2017 2004 1999 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Knop Germany 41 6.9k 3.4k 893 769 652 114 8.4k
Tokuko Haraguchi Japan 52 8.3k 1.2× 2.7k 0.8× 1.1k 1.2× 949 1.2× 1.3k 2.1× 183 10.2k
Daniel J. Lew United States 51 7.6k 1.1× 4.2k 1.2× 1.4k 1.6× 563 0.7× 251 0.4× 115 8.6k
Trisha N. Davis United States 47 6.2k 0.9× 3.6k 1.1× 1.2k 1.3× 327 0.4× 144 0.2× 133 7.2k
Frederick R. Cross United States 58 9.5k 1.4× 3.2k 0.9× 1.4k 1.5× 342 0.4× 315 0.5× 142 10.8k
Marie Evangelista United States 29 5.7k 0.8× 2.5k 0.7× 412 0.5× 225 0.3× 182 0.3× 42 7.2k
Roger Brent United States 51 8.6k 1.2× 1.2k 0.4× 758 0.8× 385 0.5× 309 0.5× 131 10.2k
Ulrike Kutay Switzerland 56 13.1k 1.9× 2.1k 0.6× 608 0.7× 145 0.2× 592 0.9× 108 14.7k
Yves Barral Switzerland 41 5.5k 0.8× 2.7k 0.8× 807 0.9× 356 0.5× 184 0.3× 96 6.2k
Mark D. Rose United States 50 10.4k 1.5× 5.1k 1.5× 1.5k 1.7× 580 0.8× 519 0.8× 96 11.7k
Erik L. Snapp United States 41 3.9k 0.6× 2.5k 0.7× 428 0.5× 200 0.3× 585 0.9× 73 5.8k

Countries citing papers authored by Michael Knop

Since Specialization
Citations

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

Fields of papers citing papers by Michael Knop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Knop

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Knop. A scholar is included among the top collaborators of Michael Knop 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 Michael Knop. Michael Knop 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.
Denkinger, Claudia M., Stephan Brenner, Michael Knop, et al.. (2023). Cost and cost-effectiveness of four different SARS-CoV-2 active surveillance strategies: evidence from a randomised control trial in Germany. The European Journal of Health Economics. 24(9). 1545–1559. 2 indexed citations
2.
Kritsiligkou, Paraskevi, et al.. (2023). Proteome-wide tagging with an H 2 O 2 biosensor reveals highly localized and dynamic redox microenvironments. Proceedings of the National Academy of Sciences. 120(48). e2314043120–e2314043120. 24 indexed citations
3.
Schnitzler, Paul, et al.. (2022). Rapid comparative evaluation of SARS-CoV-2 rapid point-of-care antigen tests. Infection. 50(5). 1281–1293. 6 indexed citations
5.
Papaioannou, Ioannis, Fabien Dutreux, Hiromi Maekawa, et al.. (2021). Sex without crossing over in the yeast Saccharomycodes ludwigii. Genome biology. 22(1). 303–303. 3 indexed citations
6.
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
8.
Popova, Bilyana, Dan Wang, Kerstin Schmitt, et al.. (2021). α-Synuclein Decreases the Abundance of Proteasome Subunits and Alters Ubiquitin Conjugates in Yeast. Cells. 10(9). 2229–2229. 13 indexed citations
9.
Kuzmin, Elena, Benjamin VanderSluis, Alex N. Nguyen Ba, et al.. (2020). Exploring whole-genome duplicate gene retention with complex genetic interaction analysis. Science. 368(6498). 70 indexed citations
10.
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
11.
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
12.
Karathanasis, Christos, et al.. (2020). CRISPR/Cas12a-mediated labeling of MET receptor enables quantitative single-molecule imaging of endogenous protein organization and dynamics. iScience. 24(1). 101895–101895. 15 indexed citations
13.
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 →
14.
Schessner, Julia P., Peter W. Bircham, Takuma Tsuji, et al.. (2019). ESCRT machinery mediates selective microautophagy of endoplasmic reticulum in yeast. The EMBO Journal. 39(2). e102586–e102586. 90 indexed citations
15.
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
16.
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
17.
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
18.
Schmidt, T., Gloria Reyes, Sushma Sharma, et al.. (2017). Alterations in cellular metabolism triggered by URA7 or GLN3 inactivation cause imbalanced dNTP pools and increased mutagenesis. Proceedings of the National Academy of Sciences. 114(22). E4442–E4451. 22 indexed citations
19.
Heinrich, Stephanie, Julia Kamenz, Susanne Trautmann, et al.. (2013). Determinants of robustness in spindle assembly checkpoint signalling. Nature Cell Biology. 15(11). 1328–1339. 83 indexed citations
20.
Taxis, Christof, Philipp Keller, Lars Juhl Jensen, et al.. (2005). Spore number control and breeding in Saccharomyces cerevisiae. The Journal of Cell Biology. 171(4). 627–640. 65 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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