Marek Konop
Impact in
- Rehabilitation top 1%
- Wound Healing and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Wound Healing and Treatments 14
- Biomaterials 12
- Silk-based biomaterials and applications 10
- Electrospun Nanofibers in Biomedical Applications 3
- Co-authors
- Mateusz Rybka (12 shared papers)Łukasz Mazurek (10 shared papers)Marcin Ufnal (15 shared papers)Lidia Rudnicka (7 shared papers)Aleksandra Misicka (3 shared papers)Adrian Drapała (5 shared papers)Mateusz Szudzik (8 shared papers)Emilia Samborowska (8 shared papers)
- Journals
- Macromolecular Bioscience (3 papers)Pharmaceutics (2 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- PolandUnited StatesSpain
In The Last Decade
Marek Konop
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Rehabilitation 275
- Biological Psychiatry 73
- Biomaterials 266
- Physiology 171
- Dermatology 58
Countries citing papers authored by Marek Konop
This map shows the geographic impact of Marek Konop'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 Konop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Konop more than expected).
Fields of papers citing papers by Marek Konop
This network shows the impact of papers produced by Marek Konop. 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 Konop. The network helps show where Marek Konop may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Konop, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 133 | |
| 2 | 2018 | 105 | |
| 3 | 2022 | 104 | |
| 4 | 2022 | 82 | |
| 5 | 2019 | 75 | |
| 6 | 2021 | 60 | |
| 7 | 2020 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2018 | 37 | |
| 10 | 2019 | 37 | |
| 11 | 2018 | 35 | |
| 12 | 2016 | 32 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 23 | |
| 15 | 2021 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2025 | 18 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2022 | 10 |
About Marek Konop
Marek Konop is a scholar working on Rehabilitation, Biomaterials, Molecular Biology, Physiology and Epidemiology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wound Healing and Treatments (14 papers), Silk-based biomaterials and applications (10 papers), Gut microbiota and health (7 papers), Diet and metabolism studies (6 papers), Bee Products Chemical Analysis (5 papers), Dyeing and Modifying Textile Fibers (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Nanoparticles: synthesis and applications (3 papers). The work is most often cited by research in Rehabilitation (275 citations), Biological Psychiatry (73 citations), Biomaterials (266 citations), Physiology (171 citations) and Dermatology (58 citations). Marek Konop has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Mateusz Rybka, Łukasz Mazurek, Marcin Ufnal, Lidia Rudnicka, Aleksandra Misicka, Adrian Drapała, Mateusz Szudzik, Emilia Samborowska, Piotr Podsadni and Joanna Czuwara. Their work appears in journals such as Macromolecular Bioscience, Pharmaceutics, PLoS ONE, International Journal of Molecular Sciences and International Journal of Biological Macromolecules.
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.