David Boczkowski
- Immunology top 0.5%
- Immunotherapy and Immune Responses 43
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 12
- Oncology top 1%
- CAR-T cell therapy research 10
- Cancer Immunotherapy and Biomarkers 9
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 26
- vaccines and immunoinformatics approaches 5
- Genetics top 2%
- Virus-based gene therapy research 9
- Biotechnology top 2%
- Co-authors
- Smita K. NairEli GilboaDavid J. SnyderH. Kim LyerlyJohannes ViewegJens DannullR. Ian CummingAxel Heiser
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- The Journal of Immunology (5 papers)European Journal of Immunology (4 papers)Blood (4 papers)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
David Boczkowski
56 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 3.6k
- Oncology 2.0k
- Molecular Biology 2.6k
- Genetics 747
- Biotechnology 228
Countries citing papers authored by David Boczkowski
This map shows the geographic impact of David Boczkowski'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 Boczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Boczkowski more than expected).
Fields of papers citing papers by David Boczkowski
This network shows the impact of papers produced by David Boczkowski. 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 Boczkowski. The network helps show where David Boczkowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Boczkowski, 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 | 2024 | 3 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 0 | |
| 4 | 2018 | 215 | |
| 5 | 2014 | 74 | |
| 6 | 2014 | 8 | |
| 7 | 2013 | 58 | |
| 8 | 2012 | 25 | |
| 9 | 2011 | 64 | |
| 10 | 2009 | 39 | |
| 11 | 2008 | 150 | |
| 12 | 2005 | 273 | |
| 13 | 2002 | 75 | |
| 14 | 2002 | 17 | |
| 15 | 2002 | 162 | |
| 16 | 2001 | 165 | |
| 17 | 1998 | 335 | |
| 18 | 1997 | 77 | |
| 19 | Dendritic cells pulsed with RNA are potent antigen-presenting cells in vitro and in vivo.breakdown → | 1996 | 761 |
| 20 | 1989 | 47 |
About David Boczkowski
David Boczkowski is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Virology, having authored 58 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (43 papers), RNA Interference and Gene Delivery (26 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (12 papers), CAR-T cell therapy research (10 papers), Virus-based gene therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Immunology (3.6k citations), Oncology (2.0k citations), Molecular Biology (2.6k citations), Genetics (747 citations) and Biotechnology (228 citations). David Boczkowski has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Smita K. Nair, Eli Gilboa, David J. Snyder, H. Kim Lyerly, Johannes Vieweg, Jens Dannull, R. Ian Cumming, Axel Heiser, Philipp Dahm and Donna Yancey. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Blood, Journal for ImmunoTherapy of Cancer and Clinical Cancer Research.
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.