J Iványi
- Infectious Diseases top 5%
- Epidemiology top 5%
- Molecular Biology
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- D B YoungEd WilkinsGraham BothamleyHarsh Vardhan BatraP. S. JackettA. D. M. ReesR A YoungCosimo Prantera
- Topics
- Tuberculosis Research and Epidemiology (14 papers)Mycobacterium research and diagnosis (12 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
J Iványi
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 529
- Epidemiology 513
- Molecular Biology 496
- Immunology 399
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by J Iványi
This map shows the geographic impact of J 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 J Iványi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Iványi more than expected).
Fields of papers citing papers by J Iványi
This network shows the impact of papers produced by J 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 J Iványi. The network helps show where J Iványi may publish in the future.
Co-authorship network of co-authors of J Iványi
This figure shows the co-authorship network connecting the top 25 collaborators of J Iványi. A scholar is included among the top collaborators of J Iványi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Iványi. J Iványi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | V delta 5+ T cells of BALB/c mice recognize the murine heat shock protein 60 target cell specificity. | 10 |
| 7 | 39 | |
| 8 | 23 | |
| 9 | 43 | |
| 10 | 14 | |
| 11 | Analysis of human T-cell epitopes in the 19,000 MW antigen of Mycobacterium tuberculosis: influence of HLA-DR. | 44 |
| 12 | 49 | |
| 13 | 60 | |
| 14 | 21 | |
| 15 | 111 | |
| 16 | 165 | |
| 17 | 59 | |
| 18 | 19 | |
| 19 | Stimulation of DNA synthesis in the culture of mouse spleen cells by means of heterologous antilymphocytic and antiglobulin sera. | 1 |
| 20 | Participation of 7S and 19S antibodies in enhancement and resistance to methylcholanthrene-induced tumours. | 16 |
About J Iványi
J Iványi is a scholar working on Infectious Diseases, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Infectious Diseases (529 citations), Immunology (399 citations) and Endocrinology (82 citations). J Iványi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include D B Young, Ed Wilkins, Graham Bothamley, Harsh Vardhan Batra, P. S. Jackett, A. D. M. Rees, R A Young, Cosimo Prantera, C Moreno and Juan Antonio Montaraz. Their work appears in journals such as The Lancet, The EMBO Journal and The Journal of Immunology.
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.