Joanna Kamińska
- Internal Medicine top 10%
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis 7
- Nephrology top 10%
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- Platelet Disorders and Treatments 5
- Multiple Myeloma Research and Treatments 3
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- Ubiquitin and proteasome pathways 3
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- Protease and Inhibitor Mechanisms 3
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- Antiplatelet Therapy and Cardiovascular Diseases 3
- Co-authors
- Olga Martyna Koper‐LenkiewiczH KemonaVioletta Dymicka-PiekarskaJoanna Matowicka-KarnaJustyna ZińczukMarek ZielińskiAnna Justyna MilewskaMarzena Tylicka
- Cited by
- Internal MedicineNeurologyOncology
- Journals
- Scientific Reports (4 papers)Journal of Inflammation Research (3 papers)Biomedicines (3 papers)
- Partner nations
- PolandGermanyUnited States
In The Last Decade
Joanna Kamińska
53 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Internal Medicine 50
- Neurology 101
- Oncology 330
- Biological Psychiatry 30
- Nephrology 69
Countries citing papers authored by Joanna Kamińska
This map shows the geographic impact of Joanna Kamińska'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 Kamińska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Kamińska more than expected).
Fields of papers citing papers by Joanna Kamińska
This network shows the impact of papers produced by Joanna Kamińska. 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 Kamińska. The network helps show where Joanna Kamińska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joanna Kamińska, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 36 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 39 | |
| 16 | 2020 | 16 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 42 | |
| 19 | 2018 | 146 | |
| 20 | Cardiovascular biomarkers in chronic kidney disease | 2017 | 1 |
About Joanna Kamińska
Joanna Kamińska is a scholar working on Hematology, Neurology and Genetics, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (7 papers), Platelet Disorders and Treatments (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Protease and Inhibitor Mechanisms (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Internal Medicine (50 citations), Neurology (101 citations) and Oncology (330 citations). Joanna Kamińska has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Olga Martyna Koper‐Lenkiewicz, H Kemona, Violetta Dymicka-Piekarska, Joanna Matowicka-Karna, Justyna Zińczuk, Marek Zieliński, Anna Justyna Milewska, Marzena Tylicka, Marta Czerska and Danuta Ligocka. Their work appears in journals such as Scientific Reports, Journal of Inflammation Research, Biomedicines, Cancers and Journal of Clinical Medicine.
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.