J Iványi

1.5k total citations
44 papers, 1.2k citations indexed

About

J Iványi is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, J Iványi has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 16 papers in Epidemiology and 15 papers in Immunology. Recurrent topics in J Iványi's work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). J Iványi is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). J Iványi collaborates with scholars based in United Kingdom, United States and Italy. J Iványi's co-authors include D B Young, Ed Wilkins, Graham Bothamley, P. S. Jackett, Harsh Vardhan Batra, A. D. M. Rees, R A Young, Cosimo Prantera, C Moreno and Pavel Novotný and has published in prestigious journals such as The Lancet, The EMBO Journal and The Journal of Immunology.

In The Last Decade

J Iványi

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J Iványi United Kingdom 18 529 513 496 399 169 44 1.2k
Percy Minden United States 20 435 0.8× 363 0.7× 245 0.5× 400 1.0× 257 1.5× 60 1.2k
Björn Löwenadler Sweden 21 275 0.5× 385 0.8× 441 0.9× 596 1.5× 160 0.9× 28 1.5k
S Montplaisir Canada 22 376 0.7× 428 0.8× 229 0.5× 347 0.9× 73 0.4× 78 1.2k
Kôsaku Fujiwara Japan 20 591 1.1× 262 0.5× 312 0.6× 164 0.4× 71 0.4× 136 1.5k
Jovanka Bestebroer Netherlands 17 751 1.4× 355 0.7× 550 1.1× 501 1.3× 59 0.3× 18 1.3k
L Ortíz-Ortíz Mexico 19 490 0.9× 473 0.9× 159 0.3× 393 1.0× 79 0.5× 70 1.4k
Henry Beekhuizen Netherlands 22 276 0.5× 281 0.5× 392 0.8× 533 1.3× 61 0.4× 37 1.5k
Innocent N. Mbawuike United States 22 300 0.6× 1.0k 2.0× 483 1.0× 933 2.3× 103 0.6× 38 1.9k
Natalie E. Cremer United States 22 200 0.4× 694 1.4× 252 0.5× 309 0.8× 110 0.7× 75 1.4k
Elias Krambovitis Greece 22 333 0.6× 318 0.6× 365 0.7× 299 0.7× 226 1.3× 68 1.3k

Countries citing papers authored by J Iványi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Barcenas‐Morales, Gabriela, Matthias Merkenschlager, Fazal Nouman Wahid, Rainer Döffinger, & J Iványi. (2000). Recessive expression of the H2A‐controlled immune response phenotype depends critically on antigen dose. Immunology. 99(2). 221–228. 3 indexed citations
2.
Wilkinson, Katalin A., K Katoch, Utpal Sengupta, et al.. (1999). Immune Responses to Recombinant Proteins ofMycobacterium leprae. The Journal of Infectious Diseases. 179(4). 1034–1037. 6 indexed citations
3.
Bothamley, Graham, John S. Beck, G. M. T. Schreuder, et al.. (1995). Delayed Hypersensitivity and HLA in Smear-Positive Pulmonary Tuberculosis. International Archives of Allergy and Immunology. 106(1). 38–45. 7 indexed citations
4.
Iványi, J. (1994). Molecular biology of natural resistance-associated macrophage protein. Parasitology Today. 10(11). 416–417. 7 indexed citations
5.
Kobayashi, Noritada, Goro Matsuzaki, Yasunobu Yoshikai, et al.. (1994). V delta 5+ T cells of BALB/c mice recognize the murine heat shock protein 60 target cell specificity.. PubMed. 81(2). 240–6. 10 indexed citations
6.
Harris, David P., H. M. Vordermeier, Eva Román, et al.. (1993). Genetically permissive recognition of adjacent epitopes from the 19-kDa antigen of Mycobacterium tuberculosis by human and murine T cells. The Journal of Immunology. 150(11). 5041–5050. 39 indexed citations
7.
Prantera, Cosimo, et al.. (1992). Antibodies to Mycobacterium paratuberculosis-specific protein antigens in Crohn's disease. Clinical & Experimental Immunology. 90(3). 503–508. 53 indexed citations
8.
Bothamley, Graham, J. Swanson Beck, R C Potts, et al.. (1992). Specificity of Antibodies and Tuberculin Response after Occupational Exposure to Tuberculosis. The Journal of Infectious Diseases. 166(1). 182–186. 43 indexed citations
9.
Vordermeier, H. M., et al.. (1992). M. tuberculosis‐Complex Specific T‐Cell Stimulation and DTH Reactions Induced With a Peptide from the 38‐kDa Protein. Scandinavian Journal of Immunology. 35(6). 711–718. 23 indexed citations
10.
Faith, A., Raju Lathigra, Eva Román, et al.. (1991). Analysis of human T-cell epitopes in the 19,000 MW antigen of Mycobacterium tuberculosis: influence of HLA-DR.. PubMed. 74(1). 1–7. 44 indexed citations
11.
Wilkins, Ed & J Iványi. (1990). Potential value of serology for diagnosis of extrapulmonary tuberculosis. The Lancet. 336(8716). 641–644. 60 indexed citations
12.
Evans, D. J., P. Norton, & J Iványi. (1990). Distribution in tissue sections of the human groEL stress‐protein homologue. Apmis. 98(1-6). 437–441. 49 indexed citations
13.
Ivanyi, L. & J Iványi. (1990). Elevated Antibody Levels to Mycobacterial 65-kDa Stress Protein in Patients with Superficial Candidiasis. The Journal of Infectious Diseases. 162(2). 519–522. 21 indexed citations
14.
Karlsson‐Parra, Alex, Kalle Söderström, Mats Ferm, et al.. (1990). Presence of Human 65 kD Heat Shock Protein (hsp) in Inflamed Joints and Subcutaneous Nodules of RA Patients. Scandinavian Journal of Immunology. 31(3). 283–288. 111 indexed citations
15.
Jackett, P. S., et al.. (1988). Specificity of antibodies to immunodominant mycobacterial antigens in pulmonary tuberculosis. Journal of Clinical Microbiology. 26(11). 2313–2318. 165 indexed citations
16.
Iványi, J. (1986). Pathogenic and Protective Interactions in Mycobacterial Infections. 6(1). 127–157. 12 indexed citations
17.
Montaraz, Juan Antonio, Pavel Novotný, & J Iványi. (1985). Identification of a 68-kilodalton protective protein antigen from Bordetella bronchiseptica. Infection and Immunity. 47(3). 744–751. 59 indexed citations
18.
Smith, R E & J Iványi. (1980). Pathogenesis of virus-induced osteopetrosis in the chicken.. The Journal of Immunology. 125(2). 523–530. 19 indexed citations
19.
Skamene, Emil, et al.. (1968). Stimulation of DNA synthesis in the culture of mouse spleen cells by means of heterologous antilymphocytic and antiglobulin sera.. PubMed. 14(4). 289–92. 1 indexed citations
20.
Bubeník, J, J Iványi, & P. Koldovský. (1965). Participation of 7S and 19S antibodies in enhancement and resistance to methylcholanthrene-induced tumours.. PubMed. 11(6). 426–33. 16 indexed citations

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.

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