Hy Levitsky
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Immunotherapy and Immune Responses 7
- Oncology 6
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Drew Pardoll (5 shared papers)Glen Dranoff (3 shared papers)Allison Lazenby (2 shared papers)Elizabeth M. Jaffee (2 shared papers)Paul T. Golumbek (3 shared papers)Hirotaka Hamada (1 shared paper)Katja Brose (1 shared paper)Richard C. Mulligan (1 shared paper)
- Journals
- Molecular Therapy (1 paper)Cancer Research (1 paper)Journal of Immunotherapy (1 paper)Gene Therapy (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Hy Levitsky
9 papers receiving 2.9k citations
Hy Levitsky's Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 2.1k
- Oncology 1.4k
- Biotechnology 270
- Genetics 756
- Molecular Biology 932
Countries citing papers authored by Hy Levitsky
This map shows the geographic impact of Hy Levitsky'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 Hy Levitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hy Levitsky more than expected).
Fields of papers citing papers by Hy Levitsky
This network shows the impact of papers produced by Hy Levitsky. 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 Hy Levitsky. The network helps show where Hy Levitsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Hy Levitsky, 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 | Vaccination with irradiated tumor cells engineered to secrete murine granulocyte-macrophage colony-stimulating factor stimulates potent, specific, and long-lasting anti-tumor immunity. Hit paper breakdown → | 1993 | 2447 |
| 2 | 1998 | 356 | |
| 3 | 2014 | 108 | |
| 4 | 2006 | 45 | |
| 5 | 2013 | 31 | |
| 6 | 2017 | 28 | |
| 7 | 2016 | 25 | |
| 8 | 1993 | 17 | |
| 9 | 1992 | 1 |
About Hy Levitsky
Hy Levitsky is a scholar working on Immunology, Oncology, Genetics, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (1 paper), Renal and related cancers (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Immunology (2.1k citations), Oncology (1.4k citations), Biotechnology (270 citations), Genetics (756 citations) and Molecular Biology (932 citations). Hy Levitsky has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Drew Pardoll, Glen Dranoff, Allison Lazenby, Elizabeth M. Jaffee, Paul T. Golumbek, Hirotaka Hamada, Katja Brose, Richard C. Mulligan, Lisa A. Beck and Kristin M. Leiferman. Their work appears in journals such as Molecular Therapy, Cancer Research, Journal of Immunotherapy, Gene Therapy 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.