W. Martin Kast
- Immunology top 0.05%
- Immunotherapy and Immune Responses 195
- Immune Cell Function and Interaction 57
- T-cell and B-cell Immunology 47
- Oncology top 0.2%
- CAR-T cell therapy research 28
- Virology top 1%
- Epidemiology top 0.2%
- Cervical Cancer and HPV Research 67
- Hepatitis B Virus Studies 30
- Molecular Biology top 0.5%
- vaccines and immunoinformatics approaches 51
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- Virus-based gene therapy research 44
- Co-authors
- Diane M. Da SilvaCornelis J.M. MeliefRemco M.P. BrandtJan W. DrijfhoutMarkwin P. VeldersRienk OffringaMichel VierboomSjoerd H. van der Burg
- Cited by
- ImmunologyOncologyVirology
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
W. Martin Kast
277 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 13.0k
- Oncology 4.8k
- Virology 672
- Epidemiology 4.4k
- Molecular Biology 6.2k
Countries citing papers authored by W. Martin Kast
This map shows the geographic impact of W. Martin Kast'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 W. Martin Kast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Martin Kast more than expected).
Fields of papers citing papers by W. Martin Kast
This network shows the impact of papers produced by W. Martin Kast. 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 W. Martin Kast. The network helps show where W. Martin Kast may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W. Martin Kast, 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 | 2023 | 1 | |
| 2 | 2020 | 54 | |
| 3 | 2020 | 8 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 1 | |
| 6 | 2016 | 37 | |
| 7 | 2011 | 18 | |
| 8 | 2011 | 1 | |
| 9 | 2009 | 28 | |
| 10 | 2009 | 44 | |
| 11 | 2008 | 138 | |
| 12 | 2007 | 92 | |
| 13 | 2002 | 235 | |
| 14 | 2002 | 104 | |
| 15 | 2002 | 79 | |
| 16 | 2001 | 147 | |
| 17 | 2001 | 424 | |
| 18 | 2001 | 133 | |
| 19 | The biological activities of simian virus 40 large-T antigen and its possible oncogenic effects in humans. | 1998 | 5 |
| 20 | Class I MHC-peptide interactions: structural requirements and functional implications. | 1995 | 25 |
About W. Martin Kast
W. Martin Kast is a scholar working on Immunology, Oncology and Epidemiology, having authored 280 papers that have together received 18.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (195 papers), Cervical Cancer and HPV Research (67 papers), Immune Cell Function and Interaction (57 papers), vaccines and immunoinformatics approaches (51 papers), T-cell and B-cell Immunology (47 papers), Virus-based gene therapy research (44 papers), Hepatitis B Virus Studies (30 papers) and CAR-T cell therapy research (28 papers). The work is most often cited by research in Immunology (13.0k citations), Oncology (4.8k citations) and Virology (672 citations). W. Martin Kast has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Diane M. Da Silva, Cornelis J.M. Melief, Cornelis J.M. Melief, Remco M.P. Brandt, Jan W. Drijfhout, Cornelis J.M. Melief, Markwin P. Velders, Rienk Offringa, Michel Vierboom and Sjoerd H. van der Burg. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.