Katja Luck
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Ubiquitin and proteasome pathways
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Protein Structure and Dynamics 9
- Bioinformatics and Genomic Networks 9
- Genomics and Chromatin Dynamics 4
- Microbial Metabolic Engineering and Bioproduction 4
- DNA Repair Mechanisms 2
- Protein Degradation and Inhibitors 2
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Gilles Travé (5 shared papers)Marc Vidal (7 shared papers)Sébastian Charbonnier (3 shared papers)Frans Bianchi (1 shared paper)Bert Poolman (1 shared paper)Ina L. Urbatsch (1 shared paper)Stephanie J. Ruiz (1 shared paper)Ivy Zhang (1 shared paper)
- Journals
- Bioinformatics (4 papers)Journal of Molecular Biology (3 papers)Nucleic Acids Research (3 papers)Nature Communications (2 papers)Nature Microbiology (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Katja Luck
25 papers receiving 1.2k citations
Katja Luck's Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 778
- Cell Biology 149
- Statistical and Nonlinear Physics 97
- Computational Theory and Mathematics 108
- Aging 7
Countries citing papers authored by Katja Luck
This map shows the geographic impact of Katja Luck'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 Katja Luck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Luck more than expected).
Fields of papers citing papers by Katja Luck
This network shows the impact of papers produced by Katja Luck. 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 Katja Luck. The network helps show where Katja Luck may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Luck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network-based prediction of protein interactions Hit paper breakdown → | 2019 | 304 |
| 2 | 2016 | 207 | |
| 3 | 2017 | 98 | |
| 4 | 2012 | 97 | |
| 5 | 2015 | 60 | |
| 6 | 2012 | 50 | |
| 7 | 2024 | 50 | |
| 8 | 2011 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2011 | 34 | |
| 11 | 2022 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 2008 | 24 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 8 | |
| 19 | 2025 | 6 | |
| 20 | 2023 | 5 |
About Katja Luck
Katja Luck is a scholar working on Molecular Biology, Cell Biology, Genetics, Computational Theory and Mathematics and Spectroscopy, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Chromatin Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), DNA Repair Mechanisms (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Molecular Biology (778 citations), Cell Biology (149 citations), Statistical and Nonlinear Physics (97 citations), Computational Theory and Mathematics (108 citations) and Aging (7 citations). Katja Luck has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gilles Travé, Marc Vidal, Sébastian Charbonnier, Frans Bianchi, Bert Poolman, Ina L. Urbatsch, Stephanie J. Ruiz, Ivy Zhang, Gloria Sheynkman and Michael A. Calderwood. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology, Nucleic Acids Research, Nature Communications and Nature Microbiology.
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.