Kay Hamacher

2.9k total citations
102 papers, 1.8k citations indexed

About

Kay Hamacher is a scholar working on Molecular Biology, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Kay Hamacher has authored 102 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 21 papers in Artificial Intelligence and 10 papers in Condensed Matter Physics. Recurrent topics in Kay Hamacher's work include Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (21 papers) and Privacy-Preserving Technologies in Data (11 papers). Kay Hamacher is often cited by papers focused on Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (21 papers) and Privacy-Preserving Technologies in Data (11 papers). Kay Hamacher collaborates with scholars based in Germany, United States and Italy. Kay Hamacher's co-authors include Wolfgang Wenzel, Stefan Katzenbeisser, Christoph Scholz, Boris Schmidt, J. Andrew McCammon, Sven Jäger, Franziska Hoffgaard, Gerhard Thiel, Florian Groher and Beatrix Suess and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Kay Hamacher

99 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay Hamacher Germany 21 952 235 178 165 144 102 1.8k
Milind Bhandarkar United States 11 1.4k 1.4× 70 0.3× 311 1.7× 102 0.6× 396 2.8× 19 2.6k
Justin M. Wozniak United States 20 626 0.7× 130 0.6× 393 2.2× 167 1.0× 340 2.4× 80 2.4k
Chang No Yoon South Korea 18 1.8k 1.9× 130 0.6× 72 0.4× 228 1.4× 331 2.3× 59 3.7k
K. Venkatesan India 16 1.0k 1.1× 86 0.4× 89 0.5× 149 0.9× 143 1.0× 50 1.9k
Mike Houston United States 19 736 0.8× 256 1.1× 327 1.8× 176 1.1× 294 2.0× 36 3.5k
Jesús A. Izaguirre United States 25 1.4k 1.4× 48 0.2× 55 0.3× 249 1.5× 259 1.8× 51 2.4k
Moritz Hoffmann Switzerland 9 1.0k 1.1× 82 0.3× 74 0.4× 362 2.2× 291 2.0× 16 1.5k
Akihiko Konagaya Japan 25 1.6k 1.6× 296 1.3× 25 0.1× 161 1.0× 62 0.4× 136 2.4k
Tim Green United Kingdom 15 1.9k 1.9× 480 2.0× 49 0.3× 431 2.6× 656 4.6× 18 3.3k
Joseph A. Bank United States 7 1.2k 1.3× 155 0.7× 58 0.3× 176 1.1× 490 3.4× 10 1.7k

Countries citing papers authored by Kay Hamacher

Since Specialization
Citations

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

Fields of papers citing papers by Kay Hamacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Hamacher

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Hamacher. A scholar is included among the top collaborators of Kay Hamacher 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 Kay Hamacher. Kay Hamacher 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.
Saponaro, Andrea, Antonio Chaves-Sanjuán, Alessandro Porro, et al.. (2024). Structural determinants of ivabradine block of the open pore of HCN4. Proceedings of the National Academy of Sciences. 121(27). 4 indexed citations
2.
Langhans, Markus, et al.. (2024). Investigating Cellulose Binding of Peptides Derived from Carbohydrate Binding Module 1. Biomacromolecules. 25(9). 5902–5908. 2 indexed citations
3.
Bauer, Daniel, Andrea Saponaro, Oliver Rauh, et al.. (2023). Alkali metal cations modulate the geometry of different binding sites in HCN4 selectivity filter for permeation or block. The Journal of General Physiology. 155(10). 6 indexed citations
4.
Bauer, Daniel, et al.. (2022). Weak Cation Selectivity in HCN Channels Results From K+-Mediated Release of Na+ From Selectivity Filter Binding Sites. Function. 3(3). zqac019–zqac019. 5 indexed citations
5.
Hamacher, Kay, et al.. (2022). Adding hydrogen atoms to molecular models via fragment superimposition. Algorithms for Molecular Biology. 17(1). 7–7. 6 indexed citations
6.
Hehlgans, Stephanie, Kay Hamacher, Klaus Strebhardt, et al.. (2021). A Spatial and Functional Interaction of a Heterotetramer Survivin–DNA-PKcs Complex in DNA Damage Response. Cancer Research. 81(9). 2304–2317. 9 indexed citations
7.
Schmidt, Michael, Indra Schroeder, Daniel Bauer, Gerhard Thiel, & Kay Hamacher. (2021). Inferring functional units in ion channel pores via relative entropy. European Biophysics Journal. 50(1). 37–57. 1 indexed citations
8.
Hamacher, Kay, et al.. (2020). Substitution matrix based color schemes for sequence alignment visualization. BMC Bioinformatics. 21(1). 209–209. 9 indexed citations
9.
Porro, Alessandro, Andrea Saponaro, Federica Gasparri, et al.. (2019). The HCN domain couples voltage gating and cAMP response in hyperpolarization-activated cyclic nucleotide-gated channels. eLife. 8. 58 indexed citations
10.
Jäger, Sven, et al.. (2017). StreAM- $$T_g$$ T g : algorithms for analyzing coarse grained RNA dynamics based on Markov models of connectivity-graphs. Algorithms for Molecular Biology. 12(1). 15–15. 5 indexed citations
11.
Hoffgaard, Franziska, Stefan M. Kast, Anna Moroni, Gerhard Thiel, & Kay Hamacher. (2015). Tectonics of a K+ channel: The importance of the N-terminus for channel gating. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(12). 3197–3204. 8 indexed citations
12.
Lauss, Georg, Christina Schröder, Peter Dabrock, et al.. (2013). Towards Biobank Privacy Regimes in Responsible Innovation Societies: ESBB Conference in Granada 2012. Biopreservation and Biobanking. 11(5). 319–323. 3 indexed citations
13.
Hamacher, Kay, Robert L. Shoeman, David D. Dunigan, et al.. (2012). Structural Organization of DNA in Chlorella Viruses. PLoS ONE. 7(2). e30133–e30133. 22 indexed citations
14.
Gläßer, Christine, et al.. (2011). Robustness of glycolysis in yeast to internal and external noise. Physical Review E. 84(2). 21913–21913. 12 indexed citations
15.
Strunk, Timo, Kay Hamacher, Franziska Hoffgaard, et al.. (2011). Structural model of the gas vesicle protein GvpA and analysis of GvpA mutants in vivo. Molecular Microbiology. 81(1). 56–68. 35 indexed citations
16.
Hamacher, Kay. (2010). Efficient quantification of the importance of contacts for the dynamical stability of proteins. Journal of Computational Chemistry. 32(5). 810–815. 3 indexed citations
17.
Ackermann, Jens, et al.. (2009). Massively-parallel simulation of biochemical systems. TUbilio (Technical University of Darmstadt). 739–750. 12 indexed citations
18.
Hoffgaard, Franziska, et al.. (2009). Estimating sufficient statistics in co-evolutionary analysis by mutual information. Computational Biology and Chemistry. 33(6). 440–444. 21 indexed citations
19.
Hamacher, Kay, Joanna Trylska, & J. Andrew McCammon. (2006). Dependency Map of Proteins in the Small Ribosomal Subunit. PLoS Computational Biology. 2(2). e10–e10. 40 indexed citations
20.
Hamacher, Kay, Claudius Gros, & Wolfgang Wenzel. (2002). Interaction-Induced Collapse of a Section of the Fermi Sea in the Zigzag Hubbard Ladder. Physical Review Letters. 88(21). 217203–217203. 15 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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