Joanna Przybył
- Obstetrics and Gynecology top 5%
- Uterine Myomas and Treatments 7
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- Sarcoma Diagnosis and Treatment 24
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 7
- Oncology top 10%
- Reproductive Medicine top 10%
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- Lymphoma Diagnosis and Treatment 6
- Tumors and Oncological Cases 3
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- Soft tissue tumor case studies 3
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- Single-cell and spatial transcriptomics 2
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- Gastrointestinal disorders and treatments 2
- Co-authors
- Matt van de RijnMaria Dêbiec‐RychterSushama VarmaRaf SciotPiotr RutkowskiAaron M. NewmanAgnieszka WoźniakAsh A. Alizadeh
- Journals
- Clinical Cancer Research (3 papers)Cancer Research (3 papers)The International Journal of Biochemistry & Cell Biology (2 papers)
- Partner nations
- United StatesBelgiumPoland
In The Last Decade
Joanna Przybył
26 papers receiving 821 citations
Peers
Comparison fields: 5 of 59
- Obstetrics and Gynecology 150
- Pulmonary and Respiratory Medicine 513
- Cancer Research 178
- Oncology 275
- Reproductive Medicine 65
Countries citing papers authored by Joanna Przybył
This map shows the geographic impact of Joanna Przybył'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 Joanna Przybył with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Przybył more than expected).
Fields of papers citing papers by Joanna Przybył
This network shows the impact of papers produced by Joanna Przybył. 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 Joanna Przybył. The network helps show where Joanna Przybył may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joanna Przybył, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 177 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 26 | |
| 11 | 2018 | 21 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 13 | |
| 14 | 2017 | 100 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 31 | |
| 17 | 2014 | 2 | |
| 18 | 2013 | 13 | |
| 19 | 2013 | 118 | |
| 20 | 2012 | 28 |
About Joanna Przybył
Joanna Przybył is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cancer Research and Gastroenterology, having authored 29 papers that have together received 826 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (24 papers), Uterine Myomas and Treatments (7 papers), Cancer Genomics and Diagnostics (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Soft tissue tumor case studies (3 papers), Tumors and Oncological Cases (3 papers), Single-cell and spatial transcriptomics (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (150 citations), Pulmonary and Respiratory Medicine (513 citations), Cancer Research (178 citations), Oncology (275 citations) and Reproductive Medicine (65 citations). Joanna Przybył has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include Matt van de Rijn, Maria Dêbiec‐Rychter, Sushama Varma, Raf Sciot, Piotr Rutkowski, Aaron M. Newman, Agnieszka Woźniak, Ash A. Alizadeh, Maximilian Diehn and Magdalena Matusiak. Their work appears in journals such as Clinical Cancer Research, Cancer Research, The International Journal of Biochemistry & Cell Biology, Journal of Clinical Oncology 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.