Jack Kuipers
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- Quantum chaos and dynamical systems
Papers in
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- Single-cell and spatial transcriptomics 14
- Bioinformatics and Genomic Networks 6
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- Cancer Genomics and Diagnostics 22
- Co-authors
- Niko Beerenwinkel (32 shared papers)Katharina Jahn (11 shared papers)Giusi Moffa (14 shared papers)Klaus Richter (13 shared papers)Gregory Berkolaiko (5 shared papers)Daniel Waltner (8 shared papers)Jochen Singer (5 shared papers)Paul Bebbington (4 shared papers)
- Journals
- Nature Communications (6 papers)Bioinformatics (5 papers)Physical Review B (5 papers)PLoS Computational Biology (5 papers)Physical Review Letters (4 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jack Kuipers
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 504
- Statistical and Nonlinear Physics 179
- Acoustics and Ultrasonics 13
- Molecular Biology 511
- Statistics and Probability 57
Countries citing papers authored by Jack Kuipers
This map shows the geographic impact of Jack Kuipers'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 Jack Kuipers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Kuipers more than expected).
Fields of papers citing papers by Jack Kuipers
This network shows the impact of papers produced by Jack Kuipers. 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 Jack Kuipers. The network helps show where Jack Kuipers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Kuipers, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 187 | |
| 2 | 2017 | 105 | |
| 3 | 2017 | 89 | |
| 4 | 2019 | 80 | |
| 5 | 2017 | 74 | |
| 6 | 2016 | 55 | |
| 7 | 2018 | 50 | |
| 8 | 2021 | 38 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 33 | |
| 11 | 2005 | 32 | |
| 12 | 2017 | 29 | |
| 13 | 2012 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2023 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2010 | 17 |
About Jack Kuipers
Jack Kuipers is a scholar working on Molecular Biology, Cancer Research, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Quantum chaos and dynamical systems (18 papers), Single-cell and spatial transcriptomics (14 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers), Quantum many-body systems (7 papers), Quantum optics and atomic interactions (6 papers), Bayesian Modeling and Causal Inference (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Cancer Research (504 citations), Statistical and Nonlinear Physics (179 citations), Acoustics and Ultrasonics (13 citations), Molecular Biology (511 citations) and Statistics and Probability (57 citations). Jack Kuipers has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Niko Beerenwinkel, Katharina Jahn, Giusi Moffa, Klaus Richter, Gregory Berkolaiko, Daniel Waltner, Jochen Singer, Paul Bebbington, Daniel Freeman and Benjamin J. Raphael. Their work appears in journals such as Nature Communications, Bioinformatics, Physical Review B, PLoS Computational Biology and Physical Review Letters.
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.