Katarzyna Duda
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Oncology
- Genetics
- Cell Biology
- Co-authors
- Morten FrödinJack TauntonMichael S. CohenShondra M. Pruett‐MillerGregory D. DavisYuping HuangFuqiang ChenTrevor N. Collingwood
- Topics
- CRISPR and Genetic Engineering (3 papers)Chronic Lymphocytic Leukemia Research (2 papers)Chronic Myeloid Leukemia Treatments (2 papers)
- Partner nations
- PolandDenmarkUnited States
In The Last Decade
Katarzyna Duda
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 947
- Organic Chemistry 236
- Oncology 204
- Genetics 168
- Cell Biology 75
Countries citing papers authored by Katarzyna Duda
This map shows the geographic impact of Katarzyna Duda'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 Katarzyna Duda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katarzyna Duda more than expected).
Fields of papers citing papers by Katarzyna Duda
This network shows the impact of papers produced by Katarzyna Duda. 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 Katarzyna Duda. The network helps show where Katarzyna Duda may publish in the future.
Co-authorship network of co-authors of Katarzyna Duda
This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Duda. A scholar is included among the top collaborators of Katarzyna Duda 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 Katarzyna Duda. Katarzyna Duda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 82 | |
| 8 | 1 | |
| 9 | [Novel strategies of ovarian cancer treatment]. | 2 |
| 10 | 60 | |
| 11 | [The newest perspectives on the treatment of glioblastoma multiforme]. | 4 |
| 12 | [The newest perspectives on diagnostic methods and treatment of insulinoma]. | 1 |
| 13 | Stimuli That Activate MSK in Cells and the Molecular Mechanism of Activation | 2 |
| 14 | 393 | |
| 15 | 364 | |
| 16 | 184 | |
| 17 | 46 | |
| 18 | Cavitated tumor as a clinical subentity in squamous cell lung cancer patients. | 39 |
| 19 | 4 | |
| 20 | [Mortality and sex ratio of patients with melanoma]. | 1 |
About Katarzyna Duda
Katarzyna Duda is a scholar working on Business and International Management, Hematology and Genetics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Business and International Management (46 citations), Aging (41 citations) and Molecular Biology (947 citations). Katarzyna Duda has collaborated with scholars based in Poland, Denmark and United States. Frequent co-authors include Morten Frödin, Jack Taunton, Michael S. Cohen, Shondra M. Pruett‐Miller, Gregory D. Davis, Yuping Huang, Fuqiang Chen, Trevor N. Collingwood, Shyam Krishnan and Iana M. Serafimova. Their work appears in journals such as Nucleic Acids Research, Molecular Cell 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.