K Liszka
- Immunology top 10%
- Molecular Biology
- Hematology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics top 10%
- Co-authors
- Otto MajdicWalter KnappPeter BettelheimD. LutzHannes StockingerGeorg StinglWerner AbererHerbert Hönigsmann
- Topics
- Glycosylation and Glycoproteins Research (8 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Chronic Lymphocytic Leukemia Research (4 papers)
- Cited by
- HematologyImmunologyGenetics
In The Last Decade
K Liszka
18 papers receiving 679 citations
Peers
Comparison fields: 5 of 60
- Immunology 350
- Molecular Biology 245
- Hematology 232
- Radiology, Nuclear Medicine and Imaging 221
- Genetics 159
Countries citing papers authored by K Liszka
This map shows the geographic impact of K Liszka'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 K Liszka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Liszka more than expected).
Fields of papers citing papers by K Liszka
This network shows the impact of papers produced by K Liszka. 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 K Liszka. The network helps show where K Liszka may publish in the future.
Co-authorship network of co-authors of K Liszka
This figure shows the co-authorship network connecting the top 25 collaborators of K Liszka. A scholar is included among the top collaborators of K Liszka 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 K Liszka. K Liszka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Cells reacting with the monoclonal anti-IL-2 receptor antibody AMT-13 in the regenerating thymus of irradiated mice. | 1 |
| 3 | 7 | |
| 4 | 45 | |
| 5 | Lymphocytes of haemophilia patients treated with clotting factor concentrates display activation-linked cell-surface antigens. | 20 |
| 6 | 31 | |
| 7 | 113 | |
| 8 | 82 | |
| 9 | 45 | |
| 10 | 55 | |
| 11 | 32 | |
| 12 | 52 | |
| 13 | 25 | |
| 14 | Surface antigens defined by monoclonal antibodies as tumor markers in human leukemia. | 1 |
| 15 | [Diagnosis of leukemia with monoclonal antibodies]. | 5 |
| 16 | 81 | |
| 17 | 141 | |
| 18 | Interaction of targeted liposomes with human peripheral mononuclear blood cells and lymphocytes of chronic lymphoid leukaemic patients. | 1 |
| 19 | 2 |
About K Liszka
K Liszka is a scholar working on Genetics, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 750 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (232 citations), Immunology (350 citations) and Genetics (159 citations). K Liszka has collaborated with scholars based in Austria, Croatia and Hungary. Frequent co-authors include Otto Majdic, Walter Knapp, Peter Bettelheim, D. Lutz, Hannes Stockinger, Georg Stingl, Werner Aberer, Herbert Hönigsmann, Vito Quaranta and W Knapp. Their work appears in journals such as Blood, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.