Marek Kochańczyk
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Gene Regulatory Network Analysis 7
- Protein Structure and Dynamics 6
- Machine Learning in Bioinformatics 4
- Co-authors
- Tomasz Lipniacki (25 shared papers)Frederic Grabowski (7 shared papers)Maciej Czerkies (6 shared papers)Zbigniew Korwek (6 shared papers)Irena Roterman (6 shared papers)Michał Bryliński (3 shared papers)Paweł J. Żuk (3 shared papers)Sławomir Błoński (2 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Scientific Reports (3 papers)Science Signaling (2 papers)PLoS ONE (2 papers)Journal of The Royal Society Interface (2 papers)
- Partner nations
- PolandUnited StatesSwitzerland
In The Last Decade
Marek Kochańczyk
32 papers receiving 711 citations
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 112
- Infectious Diseases 151
- Immunology 106
- Molecular Biology 333
- Biophysics 27
Countries citing papers authored by Marek Kochańczyk
This map shows the geographic impact of Marek Kochańczyk'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 Marek Kochańczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kochańczyk more than expected).
Fields of papers citing papers by Marek Kochańczyk
This network shows the impact of papers produced by Marek Kochańczyk. 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 Marek Kochańczyk. The network helps show where Marek Kochańczyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Kochańczyk, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2021 | 68 | |
| 3 | 2022 | 62 | |
| 4 | 2013 | 52 | |
| 5 | 2016 | 48 | |
| 6 | 2007 | 43 | |
| 7 | 2017 | 41 | |
| 8 | 2020 | 38 | |
| 9 | 2017 | 36 | |
| 10 | 2020 | 32 | |
| 11 | 2013 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2017 | 20 | |
| 14 | 2007 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2016 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2012 | 14 | |
| 20 | 2019 | 9 |
About Marek Kochańczyk
Marek Kochańczyk is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Modeling and Simulation and Oncology, having authored 33 papers that have together received 727 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Protein Structure and Dynamics (6 papers), COVID-19 epidemiological studies (4 papers), Machine Learning in Bioinformatics (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (4 papers), interferon and immune responses (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (112 citations), Infectious Diseases (151 citations), Immunology (106 citations), Molecular Biology (333 citations) and Biophysics (27 citations). Marek Kochańczyk has collaborated with scholars based in Poland, United States and Switzerland. Frequent co-authors include Tomasz Lipniacki, Frederic Grabowski, Maciej Czerkies, Zbigniew Korwek, Irena Roterman, Michał Bryliński, Paweł J. Żuk, Sławomir Błoński, Paweł Kocieniewski and Marek Kimmel. Their work appears in journals such as PLoS Computational Biology, Scientific Reports, Science Signaling, PLoS ONE and Journal of The Royal Society Interface.
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.