Joseph Krasovsky
- Immunology top 0.5%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 8
- Oncology top 5%
- Hematology top 2%
- Virology top 10%
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 1
-
- Amino Acid Enzymes and Metabolism 1
-
- Curcumin's Biomedical Applications 1
-
- Pharmacological Effects of Medicinal Plants 1
-
- Cholesterol and Lipid Metabolism 1
- Co-authors
- Madhav V. DhodapkarRalph M. SteinmanNina BhardwajChristian MünzKavita M. DhodapkarMatthew D. GellerD. ChangBarbara Williamson
- Cited by
- ImmunologyOncologyHematology
- Journals
- The Journal of Experimental Medicine (5 papers)Journal of Clinical Investigation (2 papers)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Joseph Krasovsky
12 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Immunology 2.8k
- Oncology 963
- Hematology 356
- Virology 67
- Molecular Biology 705
Countries citing papers authored by Joseph Krasovsky
This map shows the geographic impact of Joseph Krasovsky'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 Joseph Krasovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Krasovsky more than expected).
Fields of papers citing papers by Joseph Krasovsky
This network shows the impact of papers produced by Joseph Krasovsky. 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 Joseph Krasovsky. The network helps show where Joseph Krasovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph Krasovsky, 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 | 2008 | 13 | |
| 2 | 2008 | 118 | |
| 3 | 2005 | 337 | |
| 4 | 2003 | 160 | |
| 5 | 2003 | 331 | |
| 6 | 2002 | 296 | |
| 7 | 2002 | 129 | |
| 8 | Antigen-Specific Inhibition of Effector T Cell Function in Humans after Injection of Immature Dendritic Cellsbreakdown → | 2001 | 1121 |
| 9 | 2000 | 165 | |
| 10 | Rapid generation of broad T-cell immunity in humans after a single injection of mature dendritic cellsbreakdown → | 1999 | 376 |
| 11 | 1991 | 16 | |
| 12 | 1983 | 21 |
About Joseph Krasovsky
Joseph Krasovsky is a scholar working on Immunology, Physiology and Molecular Medicine, having authored 12 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (8 papers), Amino Acid Enzymes and Metabolism (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Curcumin's Biomedical Applications (1 paper), Pharmacological Effects of Medicinal Plants (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Immunology (2.8k citations), Oncology (963 citations) and Hematology (356 citations). Joseph Krasovsky has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Madhav V. Dhodapkar, Ralph M. Steinman, Nina Bhardwaj, Christian Münz, Kavita M. Dhodapkar, Madhav V. Dhodapkar, Matthew D. Geller, D. Chang, Barbara Williamson and Keren Osman. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Investigation, Archives of Biochemistry and Biophysics, Planta Medica and Proceedings of the National Academy of Sciences.
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.