Klaudyna Kojder
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Neurological Disorders and Treatments 6
- Neurological Disease Mechanisms and Treatments 3
-
- Cancer, Hypoxia, and Metabolism 6
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Irena Baranowska‐Bosiacka (16 shared papers)Dariusz Chlubek (15 shared papers)Jan Korbecki (11 shared papers)Donata Simińska (12 shared papers)Izabela Gutowska (10 shared papers)Szymon Grochans (3 shared papers)Anna Maria Cybulska (1 shared paper)Romuald Bohatyrewicz (4 shared papers)
In The Last Decade
Klaudyna Kojder
27 papers receiving 1.3k citations
Klaudyna Kojder's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 186
- Immunology 313
- Cancer Research 181
- Oncology 294
- Neurology 80
Countries citing papers authored by Klaudyna Kojder
This map shows the geographic impact of Klaudyna Kojder'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 Klaudyna Kojder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaudyna Kojder more than expected).
Fields of papers citing papers by Klaudyna Kojder
This network shows the impact of papers produced by Klaudyna Kojder. 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 Klaudyna Kojder. The network helps show where Klaudyna Kojder may publish in the future.
Co-authors
The 25 scholars most cited alongside Klaudyna Kojder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology of Glioblastoma Multiforme–Literature Review Hit paper breakdown → | 2022 | 361 |
| 2 | 2020 | 313 | |
| 3 | 2021 | 183 | |
| 4 | 2020 | 81 | |
| 5 | 2020 | 73 | |
| 6 | 2019 | 67 | |
| 7 | 2021 | 66 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 16 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Klaudyna Kojder
Klaudyna Kojder is a scholar working on Neurology, Cancer Research, Genetics, Oncology and Immunology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurological Disorders and Treatments (6 papers), Glioma Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Chemokine receptors and signaling (5 papers), Cancer, Lipids, and Metabolism (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Immune cells in cancer (3 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Genetics (186 citations), Immunology (313 citations), Cancer Research (181 citations), Oncology (294 citations) and Neurology (80 citations). Klaudyna Kojder has collaborated with scholars based in Poland, Georgia and Thailand. Frequent co-authors include Irena Baranowska‐Bosiacka, Dariusz Chlubek, Jan Korbecki, Donata Simińska, Izabela Gutowska, Szymon Grochans, Anna Maria Cybulska, Romuald Bohatyrewicz, Patrycja Kapczuk and Patrycja Kupnicka. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Medicine, Journal of Personalized Medicine, Biomolecules and Journal of Trace Elements in Medicine and Biology.
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.