David Kägi
- Immunology top 0.2%
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 15
- Immune Response and Inflammation 8
- Immunotherapy and Immune Responses 7
- Reproductive System and Pregnancy 3
- Virology top 2%
- Hematology top 1%
- Oncology top 2%
- Molecular Biology top 2%
- Cell death mechanisms and regulation 3
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- Diabetes and associated disorders 4
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- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Hans HengartnerKurt BürkiBirgit LedermannRolf M. ZinkernagelBernhard OdermattPeter SeilerEckhard R. PodackShigekazu Nagata
- Cited by
- ImmunologyVirologyHematology
- Journals
- The Journal of Experimental Medicine (8 papers)European Journal of Immunology (8 papers)The Journal of Immunology (4 papers)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
David Kägi
37 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology 4.8k
- Virology 315
- Hematology 719
- Oncology 1.3k
- Molecular Biology 3.0k
Countries citing papers authored by David Kägi
This map shows the geographic impact of David Kägi'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 David Kägi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kägi more than expected).
Fields of papers citing papers by David Kägi
This network shows the impact of papers produced by David Kägi. 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 David Kägi. The network helps show where David Kägi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Kägi, 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 | 2000 | 30 | |
| 2 | 1999 | 124 | |
| 3 | 1998 | 5 | |
| 4 | Essential contribution of caspase 3/CPP32 to apoptosis and its associated nuclear changesbreakdown → | 1998 | 747 |
| 5 | 1997 | 52 | |
| 6 | 1997 | 94 | |
| 7 | 1996 | 106 | |
| 8 | 1996 | 154 | |
| 9 | 1996 | 102 | |
| 10 | 1996 | 74 | |
| 11 | 1996 | 383 | |
| 12 | 1995 | 82 | |
| 13 | 1995 | 143 | |
| 14 | 1995 | 27 | |
| 15 | 1995 | 243 | |
| 16 | 1995 | 83 | |
| 17 | 1994 | 191 | |
| 18 | Cytotoxicity mediated by T cells and natural killer cells is greatly impaired in perforin-deficient micebreakdown → | 1994 | 1504 |
| 19 | 1989 | 70 | |
| 20 | 1981 | 5 |
About David Kägi
David Kägi is a scholar working on Immunology, Hematology and Physiology, having authored 37 papers that have together received 8.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (15 papers), Immune Response and Inflammation (8 papers), Immunotherapy and Immune Responses (7 papers), Diabetes and associated disorders (4 papers), Cell death mechanisms and regulation (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Immunology (4.8k citations), Virology (315 citations) and Hematology (719 citations). David Kägi has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Hans Hengartner, Kurt Bürki, Birgit Ledermann, Rolf M. Zinkernagel, Bernhard Odermatt, Peter Seiler, Eckhard R. Podack, Shigekazu Nagata, Valérie Depraetere and Françoise Vignaux. Their work appears in journals such as The Journal of Experimental Medicine, European Journal of Immunology, The Journal of Immunology, Journal of Virology and Placenta.
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.