C Klas
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
- Molecular Biology top 5%
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
Papers in ⓘ
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- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Galectins and Cancer Biology 1
- Phagocytosis and Immune Regulation 1
- Toxin Mechanisms and Immunotoxins 1
- Co-authors
- Klaus‐Michael Debatin (5 shared papers)Werner Falk (2 shared papers)Peter H. Krammer (2 shared papers)Peter Mӧller (1 shared paper)Anke Peters (1 shared paper)S. Matzku (1 shared paper)P H Krammer (2 shared papers)Richard R. Jonker (1 shared paper)
- Journals
- Blood (2 papers)Science (1 paper)Infection and Immunity (1 paper)International Immunology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
C Klas
7 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.5k
- Molecular Biology 1.8k
- Cancer Research 315
- Oncology 536
- Immunology and Allergy 100
Countries citing papers authored by C Klas
This map shows the geographic impact of C Klas'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 C Klas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Klas more than expected).
Fields of papers citing papers by C Klas
This network shows the impact of papers produced by C Klas. 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 C Klas. The network helps show where C Klas may publish in the future.
Co-authors
The 24 scholars most cited alongside C Klas, 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 | Monoclonal Antibody-Mediated Tumor Regression by Induction of Apoptosis Hit paper breakdown → | 1989 | 1478 |
| 2 | Purification and molecular cloning of the APO-1 cell surface antigen, a member of the tumor necrosis factor/nerve growth factor receptor superfamily. Sequence identity with the Fas antigen. Hit paper breakdown → | 1992 | 746 |
| 3 | 1993 | 404 | |
| 4 | 1992 | 88 | |
| 5 | 1993 | 57 | |
| 6 | 1992 | 11 | |
| 7 | 1994 | 2 |
About C Klas
C Klas is a scholar working on Endocrinology, Immunology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Rheumatology, having authored 7 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Galectins and Cancer Biology (1 paper), Phagocytosis and Immune Regulation (1 paper), Bacteriophages and microbial interactions (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (1.5k citations), Molecular Biology (1.8k citations), Cancer Research (315 citations), Oncology (536 citations) and Immunology and Allergy (100 citations). C Klas has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Klaus‐Michael Debatin, Werner Falk, Peter H. Krammer, Peter Mӧller, Anke Peters, S. Matzku, P H Krammer, Richard R. Jonker, Michael Pawlita and Gernot Maier. Their work appears in journals such as Blood, Science, Infection and Immunity, International Immunology and Journal of Biological Chemistry.
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.