Przemysław Waliszewski
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Modeling and Simulation top 5%
- Genetics
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Jerzy KonarskiMarcin MolskiW. WeidnerFlorian WagenlehnerRobert E. HurstTruls E. Bjerklund JohansenAdrian PilatzStefan Gattenlöhner
- Topics
- Mathematical Biology Tumor Growth (6 papers)Fractal and DNA sequence analysis (5 papers)Gene Regulatory Network Analysis (5 papers)
- Partner nations
- PolandUnited StatesGermany
In The Last Decade
Przemysław Waliszewski
37 papers receiving 533 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 216
- Pulmonary and Respiratory Medicine 89
- Modeling and Simulation 70
- Genetics 63
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Przemysław Waliszewski
This map shows the geographic impact of Przemysław Waliszewski'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 Przemysław Waliszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Przemysław Waliszewski more than expected).
Fields of papers citing papers by Przemysław Waliszewski
This network shows the impact of papers produced by Przemysław Waliszewski. 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 Przemysław Waliszewski. The network helps show where Przemysław Waliszewski may publish in the future.
Co-authorship network of co-authors of Przemysław Waliszewski
This figure shows the co-authorship network connecting the top 25 collaborators of Przemysław Waliszewski. A scholar is included among the top collaborators of Przemysław Waliszewski 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 Przemysław Waliszewski. Przemysław Waliszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 36 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 29 | |
| 8 | 48 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | Nietrzymanie moczu w praktyce lekarza rodzinnego | 1 |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | 14 | |
| 17 | 54 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | Mathematical methods in molecular biology | 1 |
About Przemysław Waliszewski
Przemysław Waliszewski is a scholar working on Modeling and Simulation, Biophysics and Molecular Biology, having authored 40 papers that have together received 562 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (6 papers), Fractal and DNA sequence analysis (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Biophysics (46 citations) and Reproductive Medicine (46 citations). Przemysław Waliszewski has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Jerzy Konarski, Marcin Molski, W. Weidner, Florian Wagenlehner, Robert E. Hurst, Truls E. Bjerklund Johansen, Adrian Pilatz, Stefan Gattenlöhner, Ewa Wolińska‐Witort and M. Snochowski. Their work appears in journals such as The Journal of Urology, Frontiers in Physiology and Molecular and Cellular Endocrinology.
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.