Juraj Iványi
- Infectious Diseases top 0.2%
- Tuberculosis Research and Epidemiology 72
- Immunology top 0.5%
- T-cell and B-cell Immunology 41
- Immune Cell Function and Interaction 35
- Immunotherapy and Immune Responses 21
- Immune Response and Inflammation 20
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis 67
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- Monoclonal and Polyclonal Antibodies Research 59
- Microbiology top 1%
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- Glycosylation and Glycoproteins Research 19
Juraj Iványi
220 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 3.2k
- Immunology 3.0k
- Epidemiology 2.8k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Microbiology 285
Countries citing papers authored by Juraj Iványi
This map shows the geographic impact of Juraj Iványi'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 Juraj Iványi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juraj Iványi more than expected).
Fields of papers citing papers by Juraj Iványi
This network shows the impact of papers produced by Juraj Iványi. 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 Juraj Iványi. The network helps show where Juraj Iványi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juraj Iványi, 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 | 2020 | 4 | |
| 2 | 2014 | 24 | |
| 3 | 2011 | 10 | |
| 4 | 2003 | 56 | |
| 5 | 2003 | 88 | |
| 6 | Granulysin-dependent killing of intracellular and extracellular Mycobacterium tuberculosis by V gamma 9/V delta 2 T lymphocytes | 2001 | 9 |
| 7 | Transmission of IgA and IgG monoclonal antibodies to saliva and other mucosal fluids after intranasal or parenteral delivery. | 2001 | 1 |
| 8 | Desarrollo de biomodelos para la evaluación de la inmunidad secretora contra M. tuberculosis en ratones Balb/c | 2000 | 1 |
| 9 | 1999 | 16 | |
| 10 | 1998 | 61 | |
| 11 | 1997 | 6 | |
| 12 | 1996 | 15 | |
| 13 | 1995 | 43 | |
| 14 | 1994 | 5 | |
| 15 | 1988 | 26 | |
| 16 | 1988 | 77 | |
| 17 | 1988 | 40 | |
| 18 | 1988 | 8 | |
| 19 | 1985 | 288 | |
| 20 | [Bacterium anitratum infections in our patients]. | 1966 | 1 |
About Juraj Iványi
Juraj Iványi is a scholar working on Infectious Diseases, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 222 papers that have together received 6.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (72 papers), Mycobacterium research and diagnosis (67 papers), Monoclonal and Polyclonal Antibodies Research (59 papers), T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (35 papers), Immunotherapy and Immune Responses (21 papers), Immune Response and Inflammation (20 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Infectious Diseases (3.2k citations), Immunology (3.0k citations) and Epidemiology (2.8k citations). Juraj Iványi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Francesco Dieli, David P. Harris, R. Aston, Alfredo Salerno, Marita Troye‐Blomberg, Guido Sireci, Geoffrey Pasvol, Rajko Reljić, C Moreno and H. M. Vordermeier. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.