Marion Kos
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Cell death mechanisms and regulation 8
- Glycosylation and Glycoproteins Research 2
- RNA Interference and Gene Delivery 2
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- Immunotherapy and Immune Responses 3
- Phagocytosis and Immune Regulation 2
- Co-authors
- Andreas Villunger (8 shared papers)Richard Greil (9 shared papers)Alexander Egle (8 shared papers)I Marschitz (6 shared papers)Reinhard Kofler (3 shared papers)Stephan Geley (3 shared papers)Günther Böck (3 shared papers)Bernd Hartmann (1 shared paper)
- Journals
- Blood (4 papers)British Journal of Haematology (2 papers)American Journal of Clinical Pathology (1 paper)International Journal of Cancer (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- AustriaUnited StatesPoland
In The Last Decade
Marion Kos
10 papers receiving 538 citations
Peers
Comparison fields: 5 of 58
- Immunology 225
- Genetics 100
- Hematology 97
- Oncology 177
- Molecular Biology 314
Countries citing papers authored by Marion Kos
This map shows the geographic impact of Marion Kos'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 Marion Kos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Kos more than expected).
Fields of papers citing papers by Marion Kos
This network shows the impact of papers produced by Marion Kos. 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 Marion Kos. The network helps show where Marion Kos may publish in the future.
Co-authors
The 20 scholars most cited alongside Marion Kos, 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 | Drug-induced apoptosis is associated with enhanced Fas (Apo-1/CD95) ligand expression but occurs independently of Fas (Apo-1/CD95) signaling in human T-acute lymphatic leukemia cells. | 1997 | 153 |
| 2 | 1997 | 113 | |
| 3 | 1998 | 93 | |
| 4 | 1996 | 54 | |
| 5 | 1997 | 35 | |
| 6 | 2000 | 33 | |
| 7 | 1997 | 27 | |
| 8 | 1996 | 25 | |
| 9 | 1998 | 7 | |
| 10 | 1998 | 6 |
About Marion Kos
Marion Kos is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Hematology, having authored 10 papers that have together received 546 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers), Multiple Myeloma Research and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), Phagocytosis and Immune Regulation (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (225 citations), Genetics (100 citations), Hematology (97 citations), Oncology (177 citations) and Molecular Biology (314 citations). Marion Kos has collaborated with scholars based in Austria, United States and Poland. Frequent co-authors include Andreas Villunger, Richard Greil, Alexander Egle, I Marschitz, Reinhard Kofler, Stephan Geley, Günther Böck, Bernd Hartmann, Inge Tinhofer and Heinz Ludwig. Their work appears in journals such as Blood, British Journal of Haematology, American Journal of Clinical Pathology, International Journal of Cancer and European Journal of Immunology.
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.