Joseph Krasovsky
Impact in
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 10
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 8
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- Calcium signaling and nucleotide metabolism 1
- Co-authors
- Madhav V. Dhodapkar (6 shared papers)Ralph M. Steinman (4 shared papers)Nina Bhardwaj (3 shared papers)Christian Münz (1 shared paper)Kavita M. Dhodapkar (2 shared papers)Madhav V. Dhodapkar (4 shared papers)Matthew D. Geller (3 shared papers)D. Chang (4 shared papers)
- Journals
- The Journal of Experimental Medicine (5 papers)Journal of Clinical Investigation (2 papers)Archives of Biochemistry and Biophysics (1 paper)Planta Medica (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Joseph Krasovsky
12 papers receiving 3.2k citations
Joseph Krasovsky's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 2.8k
- Oncology 962
- Hematology 380
- Virology 69
- Molecular Biology 715
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-authors
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 | Antigen-Specific Inhibition of Effector T Cell Function in Humans after Injection of Immature Dendritic Cells Hit paper breakdown → | 2001 | 1167 |
| 2 | 1999 | 403 | |
| 3 | 2003 | 362 | |
| 4 | 2005 | 359 | |
| 5 | 2002 | 315 | |
| 6 | 2003 | 183 | |
| 7 | 2000 | 176 | |
| 8 | 2002 | 150 | |
| 9 | 2008 | 127 | |
| 10 | 1983 | 21 | |
| 11 | 1991 | 18 | |
| 12 | 2008 | 14 |
About Joseph Krasovsky
Joseph Krasovsky is a scholar working on Immunology, Physiology, Molecular Medicine, Clinical Biochemistry and Biochemistry, having authored 12 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), Amino Acid Enzymes and Metabolism (1 paper), Multiple Myeloma Research and Treatments (1 paper), Diet, Metabolism, and Disease (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Immunology (2.8k citations), Oncology (962 citations), Hematology (380 citations), Virology (69 citations) and Molecular Biology (715 citations). Joseph Krasovsky has collaborated with scholars based in United States, Hong Kong and United Kingdom. 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 Diabetes.
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.