Inès Krüger

1.4k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Inès Krüger is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Inès Krüger has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 3 papers in Plant Science. Recurrent topics in Inès Krüger's work include Antifungal resistance and susceptibility (6 papers), Fungal and yeast genetics research (5 papers) and DNA Repair Mechanisms (2 papers). Inès Krüger is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal and yeast genetics research (5 papers) and DNA Repair Mechanisms (2 papers). Inès Krüger collaborates with scholars based in Germany and United States. Inès Krüger's co-authors include Kai Rothkamm, Larry H. Thompson, Joachim Morschhäuser, Bernardo Ramírez‐Zavala, A. Hartwig, Detmar Beyersmann, Christina Popp, Ilse D. Jacobsen, P. David Rogers and Katherine S. Barker and has published in prestigious journals such as Molecular and Cellular Biology, PLoS Genetics and PLoS Pathogens.

In The Last Decade

Inès Krüger

9 papers receiving 1.1k citations

Hit Papers

Pathways of DNA Double-Strand Break Repair during the Mam... 2003 2026 2010 2018 2003 250 500 750
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.

  1. Pathways of DNA Double-Strand Break Repair during the Mammalian Cell Cycle
    2003 944 citations Kai Rothkamm, Inès Krüger et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inès Krüger Germany 5 856 308 280 119 104 9 1.1k
Chun-Hung Hua Taiwan 18 465 0.5× 322 1.0× 177 0.6× 62 0.5× 138 1.3× 33 1.0k
Peter H. Clingen United Kingdom 13 690 0.8× 223 0.7× 245 0.9× 56 0.5× 128 1.2× 17 990
Idrees Mian United States 11 455 0.5× 210 0.7× 212 0.8× 40 0.3× 222 2.1× 15 1.1k
Jun-Ting Cheng China 11 443 0.5× 345 1.1× 210 0.8× 82 0.7× 69 0.7× 15 852
Kallol Bose United States 18 856 1.0× 604 2.0× 396 1.4× 47 0.4× 65 0.6× 37 1.5k
Monique Smeets Australia 17 931 1.1× 455 1.5× 195 0.7× 39 0.3× 106 1.0× 31 1.3k
Izumi Nakamura Japan 19 333 0.4× 212 0.7× 91 0.3× 48 0.4× 104 1.0× 57 893
Jianhua Zhou China 18 533 0.6× 136 0.4× 256 0.9× 24 0.2× 91 0.9× 52 792
Manujendra N. Saha Canada 20 610 0.7× 333 1.1× 185 0.7× 29 0.2× 59 0.6× 32 1.1k
Ryou‐u Takahashi Japan 14 506 0.6× 176 0.6× 323 1.2× 27 0.2× 52 0.5× 31 727

Countries citing papers authored by Inès Krüger

Since Specialization
Citations

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

Fields of papers citing papers by Inès Krüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inès Krüger

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

All Works

9 of 9 papers shown
1.
2.
Ramírez‐Zavala, Bernardo, et al.. (2024). The zinc cluster transcription factor Znc1 regulates Rta3-dependent miltefosine resistance in Candida albicans. mSphere. 9(7). e0027024–e0027024. 2 indexed citations
3.
Ramírez‐Zavala, Bernardo, et al.. (2023). The Ypk1 protein kinase signaling pathway is rewired and not essential for viability in Candida albicans. PLoS Genetics. 19(8). e1010890–e1010890. 2 indexed citations
4.
Ramírez‐Zavala, Bernardo, et al.. (2022). The protein kinase Ire1 has a Hac1-independent essential role in iron uptake and virulence of Candida albicans. PLoS Pathogens. 18(2). e1010283–e1010283. 17 indexed citations
5.
Ramírez‐Zavala, Bernardo, et al.. (2021). A Suppressor Mutation in the β-Subunit Kis1 Restores Functionality of the SNF1 Complex in Candida albicans snf4 Δ Mutants. mSphere. 6(6). e0092921–e0092921. 3 indexed citations
6.
Ramírez‐Zavala, Bernardo, et al.. (2020). A Zinc Cluster Transcription Factor Contributes to the Intrinsic Fluconazole Resistance of Candida auris. mSphere. 5(2). 37 indexed citations
7.
8.
Rothkamm, Kai, et al.. (2003). Pathways of DNA Double-Strand Break Repair during the Mammalian Cell Cycle. Molecular and Cellular Biology. 23(16). 5706–5715. 944 indexed citations breakdown →
9.
Hartwig, A., Inès Krüger, & Detmar Beyersmann. (1994). Mechanisms in nickel genotoxicity: the significance of interactions with DNA repair. Toxicology Letters. 72(1-3). 353–358. 51 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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