Éva Pozsonyi

409 total citations
12 papers, 304 citations indexed

About

Éva Pozsonyi is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Éva Pozsonyi has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Éva Pozsonyi's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Diabetes and associated disorders (3 papers). Éva Pozsonyi is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Diabetes and associated disorders (3 papers). Éva Pozsonyi collaborates with scholars based in Hungary, United States and South Korea. Éva Pozsonyi's co-authors include Katalin Rajczy, Zoltán Prohászka, George Füst, Ágnes Vatay, Nóra Hosszúfalusi, Pál Pánczél, István Karádi, László Gerő, László Romics and Laura Horváth and has published in prestigious journals such as Diabetes Care, Annals of the Rheumatic Diseases and Neuroscience Letters.

In The Last Decade

Éva Pozsonyi

12 papers receiving 287 citations

Peers

Éva Pozsonyi
Mary E. Witt United States
Meghavi Mashar United Kingdom
Elizabeth R. Richens United Kingdom
Shlomo Cohney Australia
Jan Clark United Kingdom
Jennifer Masters United Kingdom
M J Sheehy United States
Mary E. Witt United States
Éva Pozsonyi
Citations per year, relative to Éva Pozsonyi Éva Pozsonyi (= 1×) peers Mary E. Witt

Countries citing papers authored by Éva Pozsonyi

Since Specialization
Citations

This map shows the geographic impact of Éva Pozsonyi'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 Éva Pozsonyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Pozsonyi more than expected).

Fields of papers citing papers by Éva Pozsonyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éva Pozsonyi. 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 Éva Pozsonyi. The network helps show where Éva Pozsonyi may publish in the future.

Co-authorship network of co-authors of Éva Pozsonyi

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Pozsonyi. A scholar is included among the top collaborators of Éva Pozsonyi 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 Éva Pozsonyi. Éva Pozsonyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Szilágyi, Ágnes, Zsófia Bánlaki, Éva Pozsonyi, et al.. (2010). Frequent occurrence of conserved extended haplotypes (CEHs) in two Caucasian populations. Molecular Immunology. 47(10). 1899–1904. 12 indexed citations
2.
Gyorgy, Beata, László Tóthfalusi, György Nagy, et al.. (2010). Natural autoantibodies reactive to glycosaminoglycans are disease state markers in rheumatoid arthritis and are associated with HLA. Annals of the Rheumatic Diseases. 69. A2–A2. 1 indexed citations
3.
Pozsonyi, Éva, Bence György, Tímea Berki, et al.. (2009). HLA-association of serum levels of natural antibodies. Molecular Immunology. 46(7). 1416–1423. 13 indexed citations
4.
Bánlaki, Zsófia, Gàbor Gyapay, Éva Pozsonyi, et al.. (2009). Linkage analysis of the C4A/C4B copy number variation and polymorphisms of the adjacent steroid 21-hydroxylase gene in a healthy population. Molecular Immunology. 46(13). 2623–2629. 5 indexed citations
5.
Pazár, Borbála, P Gergely, Zsolt B. Nagy, et al.. (2009). Role of HLA-DRB1 and PTPN22 genes in susceptibility to juvenile idiopathic arthritis in Hungarian patients.. PubMed. 26(6). 1146–52. 21 indexed citations
6.
Kaur, Gurvinder, Neeraj Kumar, Ágnes Szilágyi, et al.. (2008). Autoimmune-associated HLA-B8-DR3 haplotypes in Asian Indians are unique in C4 complement gene copy numbers and HSP-2 1267A/G. Human Immunology. 69(9). 580–587. 10 indexed citations
7.
Illés, Zsolt, Enikő Sáfrány, Ágnes Péterfalvi, et al.. (2007). 3′UTR C2370A allele of the IL-23 receptor gene is associated with relapsing-remitting multiple sclerosis. Neuroscience Letters. 431(1). 36–38. 31 indexed citations
8.
Kiszel, Petra, Margit Kovács, Csaba Szalai, et al.. (2007). Frequency of Carriers of 8.1 Ancestral Haplotype and its Fragments in Two Caucasian Populations. Immunological Investigations. 36(3). 307–319. 9 indexed citations
9.
Laki, Judit, Krisztína Németh, E. Endreffy, et al.. (2006). The 8.1 ancestral MHC haplotype is associated with delayed onset of colonization in cystic fibrosis. International Immunology. 18(11). 1585–1590. 30 indexed citations
10.
Komlósi, Zsolt István, Éva Pozsonyi, Tamás Tábi, et al.. (2006). Lipopolysaccharide exposure makes allergic airway inflammation and hyper‐responsiveness less responsive to dexamethasone and inhibition of iNOS. Clinical & Experimental Allergy. 36(7). 951–959. 19 indexed citations
11.
Hosszúfalusi, Nóra, Ágnes Vatay, Katalin Rajczy, et al.. (2003). Similar Genetic Features and Different Islet Cell Autoantibody Pattern of Latent Autoimmune Diabetes in Adults (LADA) Compared With Adult-Onset Type 1 Diabetes With Rapid Progression. Diabetes Care. 26(2). 452–457. 116 indexed citations
12.
Vatay, Ágnes, Katalin Rajczy, Éva Pozsonyi, et al.. (2002). Differences in the genetic background of latent autoimmune diabetes in adults (LADA) and type 1 diabetes mellitus. Immunology Letters. 84(2). 109–115. 37 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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