W Domagała
- Oncology top 5%
- Molecular Biology top 10%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Mary OsbornK. WeberJan LubińskiMaciej M. MarkiewskiS WoykeJerzy LasotaPaweł DomagałaTomasz Huzarski
- Topics
- Genetic factors in colorectal cancer (15 papers)Cancer-related Molecular Pathways (11 papers)Cancer Genomics and Diagnostics (9 papers)
- Partner nations
- PolandGermanyUnited States
In The Last Decade
W Domagała
108 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 106
- Oncology 912
- Molecular Biology 726
- Cancer Research 461
- Pathology and Forensic Medicine 407
- Pulmonary and Respiratory Medicine 290
Countries citing papers authored by W Domagała
This map shows the geographic impact of W Domagała'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 W Domagała with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Domagała more than expected).
Fields of papers citing papers by W Domagała
This network shows the impact of papers produced by W Domagała. 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 W Domagała. The network helps show where W Domagała may publish in the future.
Co-authorship network of co-authors of W Domagała
This figure shows the co-authorship network connecting the top 25 collaborators of W Domagała. A scholar is included among the top collaborators of W Domagała 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 W Domagała. W Domagała is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 30 | |
| 3 | 4 | |
| 4 | 30 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | In vitro assessment of adhesion molecules expression by human endothelial cells cocultured with c-erbB2-positive and c-erbB2-negative breast carcinoma cell lines. | 3 |
| 8 | Molekularne podstawy karcynogenezy i ścieżki sygnałowe niektórych nowotworów ośrodkowego układu nerwowego | 3 |
| 9 | West-Pomeranian program of cervical cancer prevention. Results of phase onestudy | 1 |
| 10 | The role of STAT5 proteins in the regulation of normal hematopoiesis | 1 |
| 11 | Can cytology sereening reduce mortality due to cervical cancer in Poland | 1 |
| 12 | 28 | |
| 13 | 86 | |
| 14 | Absence or reduction of Fhit expression in most clear cell renal carcinomas. | 69 |
| 15 | 4 | |
| 16 | 39 | |
| 17 | 49 | |
| 18 | 37 | |
| 19 | 9 | |
| 20 | 15 |
About W Domagała
W Domagała is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (15 papers), Cancer-related Molecular Pathways (11 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Oncology (912 citations), Cancer Research (461 citations) and Pathology and Forensic Medicine (407 citations). W Domagała has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Mary Osborn, K. Weber, Jan Lubiński, Maciej M. Markiewski, S Woyke, Jerzy Lasota, Paweł Domagała, Tomasz Huzarski, Maria Chosia and A Szadowska. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer.
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.