Przemko Tylżanowski
- Genetics top 1%
- Rheumatology top 0.5%
- Osteoarthritis Treatment and Mechanisms 5
- Urology top 1%
- Developmental Biology top 5%
- Congenital limb and hand anomalies 8
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- Cancer-related gene regulation 7
- Developmental Biology and Gene Regulation 7
- RNA Research and Splicing 7
- Hedgehog Signaling Pathway Studies 6
- TGF-β signaling in diseases 6
- Wnt/β-catenin signaling in development and cancer 6
- Co-authors
- Frank P. LuytenCosimo De BariFrancesco Dell’AccioRik LoriesDanny HuylebroeckKristin VerschuerenGunther WuytensL Nelles
- Cited by
- GeneticsRheumatologyUrology
- Journals
- Journal of Biological Chemistry (4 papers)The Journal of Cell Biology (2 papers)PLoS ONE (3 papers)
- Partner nations
- BelgiumPolandUnited States
In The Last Decade
Przemko Tylżanowski
53 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Genetics 884
- Rheumatology 1.1k
- Urology 438
- Developmental Biology 77
- Orthopedics and Sports Medicine 218
Countries citing papers authored by Przemko Tylżanowski
This map shows the geographic impact of Przemko Tylżanowski'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 Przemko Tylżanowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Przemko Tylżanowski more than expected).
Fields of papers citing papers by Przemko Tylżanowski
This network shows the impact of papers produced by Przemko Tylżanowski. 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 Przemko Tylżanowski. The network helps show where Przemko Tylżanowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Przemko Tylżanowski, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 5 | |
| 7 | 2014 | 10 | |
| 8 | 2011 | 37 | |
| 9 | 2008 | 38 | |
| 10 | 2006 | 36 | |
| 11 | sFRP3 knockout mice develop accelerated cartilage breakdown in experimental models of osteoarthritis | 2005 | 3 |
| 12 | 2003 | 15 | |
| 13 | 2003 | 16 | |
| 14 | 2001 | 31 | |
| 15 | Role of BMP receptors, Smads and Smad interacting protein Sip1 in the onset of osteogenesis in C2C12 cell line | 2000 | 1 |
| 16 | 2000 | 59 | |
| 17 | 1999 | 413 | |
| 18 | 1997 | 64 | |
| 19 | 1996 | 16 | |
| 20 | 1995 | 43 |
About Przemko Tylżanowski
Przemko Tylżanowski is a scholar working on Developmental Biology, Immunology and Allergy and Molecular Biology, having authored 54 papers that have together received 3.4k indexed citations. Recurring topics across this work include Congenital limb and hand anomalies (8 papers), Cancer-related gene regulation (7 papers), Developmental Biology and Gene Regulation (7 papers), RNA Research and Splicing (7 papers), Hedgehog Signaling Pathway Studies (6 papers), TGF-β signaling in diseases (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Genetics (884 citations), Rheumatology (1.1k citations) and Urology (438 citations). Przemko Tylżanowski has collaborated with scholars based in Belgium, Poland and United States. Frequent co-authors include Frank P. Luyten, Cosimo De Bari, Francesco Dell’Accio, Rik Lories, Danny Huylebroeck, Kristin Verschueren, Gunther Wuytens, L Nelles, H Kraft and Jacques Remacle. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology 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.