Jacob Halatek
Impact in
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- Nonlinear Dynamics and Pattern Formation
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
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- Protein Structure and Dynamics 5
- Photosynthetic Processes and Mechanisms 4
- Gene Regulatory Network Analysis 3
- Single-cell and spatial transcriptomics 1
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- Nonlinear Dynamics and Pattern Formation 8
- Co-authors
- Erwin Frey (13 shared papers)Fridtjof Brauns (7 shared papers)Cees Dekker (3 shared papers)Petra Schwille (2 shared papers)Jacob Kerssemakers (2 shared papers)Simon Kretschmer (1 shared paper)Fabai Wu (1 shared paper)Paul K. Grant (1 shared paper)
- Journals
- Nature Communications (4 papers)Proceedings of the National Academy of Sciences (3 papers)Physical Review X (1 paper)Cell Reports (1 paper)eLife (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Jacob Halatek
14 papers receiving 597 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 205
- Cell Biology 142
- Modeling and Simulation 37
- Aging 14
- Condensed Matter Physics 76
Countries citing papers authored by Jacob Halatek
This map shows the geographic impact of Jacob Halatek'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 Jacob Halatek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Halatek more than expected).
Fields of papers citing papers by Jacob Halatek
This network shows the impact of papers produced by Jacob Halatek. 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 Jacob Halatek. The network helps show where Jacob Halatek may publish in the future.
Co-authors
The 14 scholars most cited alongside Jacob Halatek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 129 | |
| 2 | 2012 | 98 | |
| 3 | 2020 | 59 | |
| 4 | 2018 | 52 | |
| 5 | 2016 | 42 | |
| 6 | 2016 | 42 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 36 | |
| 9 | 2020 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 16 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 5 |
About Jacob Halatek
Jacob Halatek is a scholar working on Molecular Biology, Computer Networks and Communications, Genetics, Cell Biology and Condensed Matter Physics, having authored 14 papers that have together received 605 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (8 papers), Protein Structure and Dynamics (5 papers), Bacterial Genetics and Biotechnology (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Gene Regulatory Network Analysis (3 papers), Microtubule and mitosis dynamics (3 papers), Cellular Mechanics and Interactions (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Computer Networks and Communications (205 citations), Cell Biology (142 citations), Modeling and Simulation (37 citations), Aging (14 citations) and Condensed Matter Physics (76 citations). Jacob Halatek has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Erwin Frey, Fridtjof Brauns, Cees Dekker, Petra Schwille, Jacob Kerssemakers, Simon Kretschmer, Fabai Wu, Paul K. Grant, James Locke and Attila Csikász‐Nagy. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Physical Review X, Cell Reports and eLife.
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.