Kacper Jankowski
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Mariusz Z. RatajczakJanina RatajczakMagda KuciaMarcin WysoczynskiRyan RecaLaura Bandura‐MorganDaniel J. AllendorfJin Zhang
- Topics
- Chemokine receptors and signaling (4 papers)Immunotherapy and Immune Responses (3 papers)Histone Deacetylase Inhibitors Research (3 papers)
- Journals
- BloodCancer ResearchOncogene
- Partner nations
- United StatesAustraliaPoland
In The Last Decade
Kacper Jankowski
15 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 714
- Oncology 534
- Immunology 346
- Cancer Research 188
- Pulmonary and Respiratory Medicine 145
Countries citing papers authored by Kacper Jankowski
This map shows the geographic impact of Kacper Jankowski'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 Kacper Jankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kacper Jankowski more than expected).
Fields of papers citing papers by Kacper Jankowski
This network shows the impact of papers produced by Kacper Jankowski. 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 Kacper Jankowski. The network helps show where Kacper Jankowski may publish in the future.
Co-authorship network of co-authors of Kacper Jankowski
This figure shows the co-authorship network connecting the top 25 collaborators of Kacper Jankowski. A scholar is included among the top collaborators of Kacper Jankowski 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 Kacper Jankowski. Kacper Jankowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 150 | |
| 2 | 11 | |
| 3 | 122 | |
| 4 | 63 | |
| 5 | 68 | |
| 6 | 55 | |
| 7 | 28 | |
| 8 | 81 | |
| 9 | The effect of a novel recombination between the homeobox gene NKX2-5 and the TRD locus in T-cell acute lymphoblastic leukemia on activation of the NKX2-5 gene. | 32 |
| 10 | CXCR4–SDF-1 Signalling, Locomotion, Chemotaxis and Adhesionbreakdown → | 565 |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | Both hepatocyte growth factor (HGF) and stromal-derived factor-1 regulate the metastatic behavior of human rhabdomyosarcoma cells, but only HGF enhances their resistance to radiochemotherapy. | 156 |
| 15 | 49 |
About Kacper Jankowski
Kacper Jankowski is a scholar working on Immunology and Allergy, Geriatrics and Gerontology and Oncology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Immunotherapy and Immune Responses (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Oncology (534 citations), Geriatrics and Gerontology (66 citations) and Immunology (346 citations). Kacper Jankowski has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include Mariusz Z. Ratajczak, Janina Ratajczak, Magda Kucia, Marcin Wysoczynski, Ryan Reca, Laura Bandura‐Morgan, Daniel J. Allendorf, Jin Zhang, Karen L. MacKenzie and Anna Janowska‐Wieczorek. Their work appears in journals such as Blood, Cancer Research and Oncogene.
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.