Tomasz Lipniacki
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 6
- Immunology top 5%
- Immune Response and Inflammation 10
- Biophysics top 2%
- Cancer Research top 5%
- NF-κB Signaling Pathways 9
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 33
- Receptor Mechanisms and Signaling 8
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- Quantum, superfluid, helium dynamics 10
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- Cytokine Signaling Pathways and Interactions 9
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- Evolution and Genetic Dynamics 7
- Co-authors
- Marek KochańczykSavaş TayMarek KimmelStephen R. QuakeMarkus W. CovertJacob HugheyTimothy K. LeeAllan R. Brasier
- Journals
- Journal of Theoretical Biology (8 papers)PLoS Computational Biology (6 papers)Scientific Reports (5 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Tomasz Lipniacki
86 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Modeling and Simulation 224
- Immunology 604
- Biophysics 159
- Cancer Research 372
- Molecular Biology 1.5k
Countries citing papers authored by Tomasz Lipniacki
This map shows the geographic impact of Tomasz Lipniacki'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 Tomasz Lipniacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Lipniacki more than expected).
Fields of papers citing papers by Tomasz Lipniacki
This network shows the impact of papers produced by Tomasz Lipniacki. 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 Tomasz Lipniacki. The network helps show where Tomasz Lipniacki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomasz Lipniacki, 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 | 2023 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 32 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 40 | |
| 11 | 2015 | 6 | |
| 12 | 2011 | 29 | |
| 13 | Single-cell NF-κB dynamics reveal digital activation and analogue information processingbreakdown → | 2010 | 636 |
| 14 | 2007 | 27 | |
| 15 | Parameter estimation for models of cell signaling pathways based on semi-quantitative data | 2006 | 0 |
| 16 | 2005 | 79 | |
| 17 | On quantum turbulence in superfluid 4He | 2001 | 1 |
| 18 | Dynamics of quantum vortices in superfluid '4He | 1998 | 1 |
| 19 | Can the system of discrete vortices imitate a boundary layer | 1997 | 1 |
| 20 | 1997 | 1 |
About Tomasz Lipniacki
Tomasz Lipniacki is a scholar working on Modeling and Simulation, Immunology and Molecular Biology, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Quantum, superfluid, helium dynamics (10 papers), Immune Response and Inflammation (10 papers), NF-κB Signaling Pathways (9 papers), Cytokine Signaling Pathways and Interactions (9 papers), Receptor Mechanisms and Signaling (8 papers), Evolution and Genetic Dynamics (7 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Modeling and Simulation (224 citations), Immunology (604 citations) and Biophysics (159 citations). Tomasz Lipniacki has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Marek Kochańczyk, Savaş Tay, Marek Kimmel, Stephen R. Quake, Markus W. Covert, Jacob Hughey, Timothy K. Lee, Allan R. Brasier, Pawel Paszek and Frederic Grabowski. Their work appears in journals such as Journal of Theoretical Biology, PLoS Computational Biology, Scientific Reports, PLoS ONE and Physical Biology.
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.