Kay Hamacher
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Co-authors
- Wolfgang WenzelStefan KatzenbeisserChristoph ScholzBoris SchmidtJ. Andrew McCammonSven JägerFranziska HoffgaardGerhard Thiel
- Topics
- Protein Structure and Dynamics (25 papers)RNA and protein synthesis mechanisms (21 papers)Privacy-Preserving Technologies in Data (11 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Kay Hamacher
99 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 952
- Artificial Intelligence 235
- Information Systems 178
- Computational Theory and Mathematics 165
- Materials Chemistry 144
Countries citing papers authored by Kay Hamacher
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 58 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | 12 | |
| 15 | 35 | |
| 16 | 3 | |
| 17 | Massively-parallel simulation of biochemical systems | 12 |
| 18 | 21 | |
| 19 | 40 | |
| 20 | 15 |
About Kay Hamacher
Kay Hamacher is a scholar working on Condensed Matter Physics, Molecular Biology and Statistical and Nonlinear Physics, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (21 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Molecular Biology (952 citations), Computational Theory and Mathematics (165 citations) and Condensed Matter Physics (100 citations). Kay Hamacher has collaborated with scholars based in Germany, United States and Italy. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.