Wiktor Mazin
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Gene expression and cancer classification 2
- Congenital heart defects research 2
- Genetics 4
- Evolution and Genetic Dynamics 2
- Estrogen and related hormone effects 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Steen Knudsen (6 shared papers)P. Borckmans (3 shared papers)Erik Mosekilde (4 shared papers)G. Dewel (3 shared papers)Jesper Dahlgaard (4 shared papers)Thomas Werge (3 shared papers)Baolin Zhang (1 shared paper)Preben Bo Mortensen (2 shared papers)
- Journals
- PLoS ONE (3 papers)Mathematics and Computers in Simulation (1 paper)Clinical Epidemiology (1 paper)International Journal of Bifurcation and Chaos (1 paper)JAMA Psychiatry (1 paper)
- Partner nations
- DenmarkUnited StatesBelgium
In The Last Decade
Wiktor Mazin
13 papers receiving 284 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 44
- Computer Networks and Communications 66
- Modeling and Simulation 10
- Statistical and Nonlinear Physics 27
- Genetics 57
Countries citing papers authored by Wiktor Mazin
This map shows the geographic impact of Wiktor Mazin'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 Wiktor Mazin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiktor Mazin more than expected).
Fields of papers citing papers by Wiktor Mazin
This network shows the impact of papers produced by Wiktor Mazin. 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 Wiktor Mazin. The network helps show where Wiktor Mazin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wiktor Mazin, 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 | 2017 | 64 | |
| 2 | 1996 | 63 | |
| 3 | 2011 | 39 | |
| 4 | 2014 | 24 | |
| 5 | 1996 | 21 | |
| 6 | 2015 | 20 | |
| 7 | 2017 | 16 | |
| 8 | 2012 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2011 | 10 | |
| 11 | 2016 | 1 | |
| 12 | 2014 | 1 | |
| 13 | Pattern Formation in the Bistable Gray-Scott Model | 1994 | 1 |
About Wiktor Mazin
Wiktor Mazin is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Oncology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 290 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (2 papers), Gene expression and cancer classification (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Congenital heart defects research (2 papers), Evolution and Genetic Dynamics (2 papers), Estrogen and related hormone effects (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (44 citations), Computer Networks and Communications (66 citations), Modeling and Simulation (10 citations), Statistical and Nonlinear Physics (27 citations) and Genetics (57 citations). Wiktor Mazin has collaborated with scholars based in Denmark, United States and Belgium. Frequent co-authors include Steen Knudsen, P. Borckmans, Erik Mosekilde, G. Dewel, Jesper Dahlgaard, Thomas Werge, Baolin Zhang, Preben Bo Mortensen, Junjie Chen and Line Olsen. Their work appears in journals such as PLoS ONE, Mathematics and Computers in Simulation, Clinical Epidemiology, International Journal of Bifurcation and Chaos and JAMA Psychiatry.
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.