Eli Gilboa
- Immunology top 0.05%
- Immunotherapy and Immune Responses 91
- Immune Cell Function and Interaction 26
- T-cell and B-cell Immunology 22
- Virology top 0.5%
- Oncology top 0.2%
- CAR-T cell therapy research 25
- Genetics top 0.1%
- Virus-based gene therapy research 54
- Molecular Biology top 0.2%
- RNA Interference and Gene Delivery 61
- CRISPR and Genetic Engineering 22
- Advanced biosensing and bioanalysis techniques 17
- Co-authors
- Smita K. NairDavid BoczkowskiBruce A. SullengerJohannes ViewegDavid J. SnyderDavid BaltimoreAngel PorgadorH. Kim Lyerly
- Cited by
- ImmunologyVirologyOncology
- Journals
- The Journal of Immunology (13 papers)Blood (10 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Eli Gilboa
181 papers receiving 19.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 10.5k
- Virology 1.3k
- Oncology 6.0k
- Genetics 5.0k
- Molecular Biology 11.5k
Countries citing papers authored by Eli Gilboa
This map shows the geographic impact of Eli Gilboa'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 Eli Gilboa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Gilboa more than expected).
Fields of papers citing papers by Eli Gilboa
This network shows the impact of papers produced by Eli Gilboa. 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 Eli Gilboa. The network helps show where Eli Gilboa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eli Gilboa, 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 | 2022 | 0 | |
| 2 | 2020 | 8 | |
| 3 | 2019 | 50 | |
| 4 | 2017 | 30 | |
| 5 | 2015 | 18 | |
| 6 | 2014 | 72 | |
| 7 | 2008 | 265 | |
| 8 | 2008 | 150 | |
| 9 | 2005 | 273 | |
| 10 | 2004 | 52 | |
| 11 | 2002 | 23 | |
| 12 | 2002 | 419 | |
| 13 | 2001 | 165 | |
| 14 | 2000 | 97 | |
| 15 | 1998 | 240 | |
| 16 | 1997 | 159 | |
| 17 | 1996 | 10 | |
| 18 | Dendritic cells pulsed with RNA are potent antigen-presenting cells in vitro and in vivo.breakdown → | 1996 | 761 |
| 19 | 1993 | 166 | |
| 20 | Interleukin 2 gene transfer into tumor cells abrogates tumorigenicity and induces protective immunity.breakdown → | 1990 | 511 |
About Eli Gilboa
Eli Gilboa is a scholar working on Immunology, Virology and Genetics, having authored 183 papers that have together received 20.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (91 papers), RNA Interference and Gene Delivery (61 papers), Virus-based gene therapy research (54 papers), Immune Cell Function and Interaction (26 papers), CAR-T cell therapy research (25 papers), CRISPR and Genetic Engineering (22 papers), T-cell and B-cell Immunology (22 papers) and Advanced biosensing and bioanalysis techniques (17 papers). The work is most often cited by research in Immunology (10.5k citations), Virology (1.3k citations) and Oncology (6.0k citations). Eli Gilboa has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Smita K. Nair, David Boczkowski, Bruce A. Sullenger, Johannes Vieweg, David J. Snyder, David Baltimore, Angel Porgador, H. Kim Lyerly, Rajat Bannerji and Stephen P. Goff. Their work appears in journals such as The Journal of Immunology, Blood, Proceedings of the National Academy of Sciences, Journal of Virology and Journal of Clinical Investigation.
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.