Mariusz Kaczmarczyk
- Molecular Biology top 10%
- Physiology top 5%
- Surgery top 10%
- Genetics top 5%
- Orthopedics and Sports Medicine top 2%
- Co-authors
- Karolina Skonieczna‐ŻydeckaIgor ŁoniewskiAndrzej CiechanowiczMarek NaruszewiczWojciech MarliczDanuta Zapolska‐DownarPaweł CięszczykAldona Siennicka
- Topics
- Gut microbiota and health (26 papers)Diet and metabolism studies (16 papers)Genetics and Physical Performance (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE
- Partner nations
- PolandSwedenUnited States
In The Last Decade
Mariusz Kaczmarczyk
152 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 820
- Physiology 464
- Surgery 420
- Genetics 405
- Orthopedics and Sports Medicine 330
Countries citing papers authored by Mariusz Kaczmarczyk
This map shows the geographic impact of Mariusz Kaczmarczyk'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 Mariusz Kaczmarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariusz Kaczmarczyk more than expected).
Fields of papers citing papers by Mariusz Kaczmarczyk
This network shows the impact of papers produced by Mariusz Kaczmarczyk. 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 Mariusz Kaczmarczyk. The network helps show where Mariusz Kaczmarczyk may publish in the future.
Co-authorship network of co-authors of Mariusz Kaczmarczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Mariusz Kaczmarczyk. A scholar is included among the top collaborators of Mariusz Kaczmarczyk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariusz Kaczmarczyk. Mariusz Kaczmarczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 33 | |
| 14 | 32 | |
| 15 | 3 | |
| 16 | 40 | |
| 17 | 43 | |
| 18 | CD52 gene polymorphism and its potential effect on the response to alemtuzumab in renal transplant recipients. | 6 |
| 19 | Comprehensive study of InAs/GaAs quantum dots by means of complementary methods | 0 |
| 20 | Analiza wymiarów samozorganizowanych kropek kwantowych z InAs/GaAs wykonanych techniką MBE | 0 |
About Mariusz Kaczmarczyk
Mariusz Kaczmarczyk is a scholar working on Biological Psychiatry, Transplantation and Gastroenterology, having authored 156 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gut microbiota and health (26 papers), Diet and metabolism studies (16 papers) and Genetics and Physical Performance (12 papers). The work is most often cited by research in Biological Psychiatry (304 citations), Orthopedics and Sports Medicine (330 citations) and Gastroenterology (126 citations). Mariusz Kaczmarczyk has collaborated with scholars based in Poland, Sweden and United States. Frequent co-authors include Karolina Skonieczna‐Żydecka, Igor Łoniewski, Andrzej Ciechanowicz, Marek Naruszewicz, Wojciech Marlicz, Danuta Zapolska‐Downar, Paweł Cięszczyk, Aldona Siennicka, Krzysztof Ficek and Dominika Maciejewska. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.
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.