Ágnes Szilágyi

2.0k total citations
74 papers, 1.3k citations indexed

About

Ágnes Szilágyi is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Ágnes Szilágyi has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 25 papers in Hematology and 19 papers in Molecular Biology. Recurrent topics in Ágnes Szilágyi's work include Complement system in diseases (31 papers), Blood groups and transfusion (13 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers). Ágnes Szilágyi is often cited by papers focused on Complement system in diseases (31 papers), Blood groups and transfusion (13 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers). Ágnes Szilágyi collaborates with scholars based in Hungary, Austria and Germany. Ágnes Szilágyi's co-authors include Zoltán Prohászka, George Füst, Mária Sasvári‐Székely, Dorottya Csuka, Zsolt Rónai, Anna Székely, Henriette Farkas, Lilian Varga, Csaba Barta and Eszter Szántai and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ágnes Szilágyi

71 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ágnes Szilágyi Hungary 20 538 294 258 234 193 74 1.3k
Magnus Hansson Sweden 22 560 1.0× 474 1.6× 281 1.1× 154 0.7× 59 0.3× 42 1.6k
Yasuhiro Maeda Japan 25 947 1.8× 530 1.8× 620 2.4× 80 0.3× 326 1.7× 147 2.6k
Dongli Song China 26 369 0.7× 220 0.7× 773 3.0× 37 0.2× 112 0.6× 78 2.1k
Matthias Pierer Germany 24 919 1.7× 156 0.5× 600 2.3× 63 0.3× 61 0.3× 51 2.0k
Danielle Degenne France 20 658 1.2× 235 0.8× 246 1.0× 61 0.3× 149 0.8× 46 1.7k
Süreyya Savaşan United States 16 261 0.5× 286 1.0× 208 0.8× 46 0.2× 67 0.3× 81 943
P. Vaith Germany 24 276 0.5× 93 0.3× 333 1.3× 170 0.7× 165 0.9× 68 1.8k
Giusi Prencipe Italy 22 786 1.5× 646 2.2× 484 1.9× 69 0.3× 33 0.2× 58 1.8k
Paul F. Mercer United Kingdom 25 212 0.4× 170 0.6× 465 1.8× 94 0.4× 86 0.4× 58 2.1k
Friedrich E. Maly Switzerland 26 477 0.9× 112 0.4× 394 1.5× 36 0.2× 66 0.3× 54 1.8k

Countries citing papers authored by Ágnes Szilágyi

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Szilágyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Szilágyi

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Szilágyi. A scholar is included among the top collaborators of Ágnes Szilágyi 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 Ágnes Szilágyi. Ágnes Szilágyi 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.
Aigner, Christof, Zoltán Prohászka, Ágnes Szilágyi, et al.. (2025). Crovalimab Rescue Therapy in a Case With Genetic Complement Mediated Thrombotic Microangiopathy. Kidney Medicine. 8(1). 101185–101185.
2.
Várkonyi, Andrea, Hajnalka Andrikovics, Mónika Fekete, et al.. (2024). Delayed Onset of Thrombotic Microangiopathy (TMA) upon Prolonged Carfilzomib Therapy in Multiple Myeloma: A Case Report and Comprehensive Review. Pharmaceuticals. 17(12). 1722–1722.
3.
Varga, Lilian, Dorottya Csuka, Ágnes Szilágyi, et al.. (2023). Application of a dried blood spot based proteomic and genetic assay for diagnosing hereditary angioedema. Clinical and Translational Allergy. 13(11). e12317–e12317. 7 indexed citations
4.
Szilágyi, Ágnes, et al.. (2018). Risk factors of non-specific spinal pain in childhood. European Spine Journal. 27(5). 1119–1126. 17 indexed citations
5.
Trojnár, Eszter, et al.. (2018). Role of complement in the pathogenesis of thrombotic microangiopathies. memo - Magazine of European Medical Oncology. 11(3). 227–234. 1 indexed citations
6.
Gaggl, Martina, Christof Aigner, Dorottya Csuka, et al.. (2017). Maternal and Fetal Outcomes of Pregnancies in Women with Atypical Hemolytic Uremic Syndrome. Journal of the American Society of Nephrology. 29(3). 1020–1029. 49 indexed citations
7.
Doleschall, Márton, Andrea Luczay, Kinga Hadzsiev, et al.. (2017). A unique haplotype of RCCX copy number variation: from the clinics of congenital adrenal hyperplasia to evolutionary genetics. European Journal of Human Genetics. 25(6). 702–710. 13 indexed citations
8.
Trojnár, Eszter, Mihály Józsi, Katalin Uray, et al.. (2017). Analysis of Linear Antibody Epitopes on Factor H and CFHR1 Using Sera of Patients with Autoimmune Atypical Hemolytic Uremic Syndrome. Frontiers in Immunology. 8. 302–302. 10 indexed citations
9.
Szilágyi, Ágnes, et al.. (2016). Muscle strength is associated with vitamin D receptor gene variants. Journal of Orthopaedic Research®. 34(11). 2031–2037. 24 indexed citations
10.
Speletas, Matthaios, Ágnes Szilágyi, Dorottya Csuka, et al.. (2015). F12 ‐46C/T polymorphism as modifier of the clinical phenotype of hereditary angioedema. Allergy. 70(12). 1661–1664. 31 indexed citations
12.
Nozal, Pilar, Barbara Uzonyi, Ágnes Szilágyi, et al.. (2015). Heterogeneity but individual constancy of epitopes, isotypes and avidity of factor H autoantibodies in atypical hemolytic uremic syndrome. Molecular Immunology. 70. 47–55. 25 indexed citations
13.
Vereczkei, Andrea, Zsolt Demetrovics, Anna Székely, et al.. (2013). Multivariate Analysis of Dopaminergic Gene Variants as Risk Factors of Heroin Dependence. PLoS ONE. 8(6). e66592–e66592. 58 indexed citations
14.
Madách, Krisztina, Ágnes Szilágyi, János Gál, et al.. (2011). Analysis of the 8.1 ancestral MHC haplotype in severe, pneumonia-related sepsis. Clinical Immunology. 139(3). 282–289. 8 indexed citations
15.
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
16.
Szodoray, Péter, Britt Nakken, S. Baráth, et al.. (2008). Progressive divergent shifts in natural and induced T-regulatory cells signify the transition from undifferentiated to definitive connective tissue disease. International Immunology. 20(8). 971–979. 22 indexed citations
17.
Szilágyi, Ágnes, Iren Orosz, Eszter Szántai, et al.. (2006). Contribution of Serotonin Transporter Gene Polymorphisms to Pediatric Migraine. Headache The Journal of Head and Face Pain. 46(3). 478–485. 31 indexed citations
18.
Szántai, Eszter, Zsolt Rónai, Ágnes Szilágyi, Mária Sasvári‐Székely, & András Guttman. (2005). Haplotyping by capillary electrophoresis. Journal of Chromatography A. 1079(1-2). 41–49. 14 indexed citations
19.
Vajdovich, Péter, T Gaál, Ágnes Szilágyi, & Andrea Harnos. (1997). Changes in Some Red Blood Cell and Clinical Laboratory Parameters in Young and Old Beagle Dogs. Veterinary Research Communications. 21(7). 463–470. 36 indexed citations
20.
Szilágyi, Ágnes, et al.. (1976). Study of the free amino acid pattern in human cerebrospinal fluid along the cerebrospinal axis.. PubMed. 74(6). 329–36. 2 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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