Béla Nagy

4.1k total citations
84 papers, 3.0k citations indexed

About

Béla Nagy is a scholar working on Endocrinology, Food Science and Infectious Diseases. According to data from OpenAlex, Béla Nagy has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Endocrinology, 32 papers in Food Science and 29 papers in Infectious Diseases. Recurrent topics in Béla Nagy's work include Escherichia coli research studies (37 papers), Salmonella and Campylobacter epidemiology (27 papers) and Viral gastroenteritis research and epidemiology (24 papers). Béla Nagy is often cited by papers focused on Escherichia coli research studies (37 papers), Salmonella and Campylobacter epidemiology (27 papers) and Viral gastroenteritis research and epidemiology (24 papers). Béla Nagy collaborates with scholars based in Hungary, Germany and United States. Béla Nagy's co-authors include Harley W. Moon, Ama Szmolka, Péter Zs. Fekete, Richard E. Isaacson, Thomas A. Casey, R.E. Isaacson, Noémi Nógrády, Ferenc Olasz, Ivan Rychlı́k and Judit Pászti and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Oncogene.

In The Last Decade

Béla Nagy

80 papers receiving 2.7k citations

Peers

Béla Nagy
Thomas A. Casey United States
Bhushan M. Jayarao United States
Orhan Şahin United States
Anthony Underwood United Kingdom
T. Cheasty United Kingdom
Dieter M. Schifferli United States
Thomas A. Casey United States
Béla Nagy
Citations per year, relative to Béla Nagy Béla Nagy (= 1×) peers Thomas A. Casey

Countries citing papers authored by Béla Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Béla Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béla Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Béla Nagy. A scholar is included among the top collaborators of Béla Nagy 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 Béla Nagy. Béla Nagy 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.
Farkas, Bálint, et al.. (2023). On the weighted Bojanov-Chebyshev problem and the sum of translates method of Fenton. Sbornik Mathematics. 214(8). 1163–1190. 1 indexed citations
2.
Farkas, Bálint, Béla Nagy, & Szilárd Gy. Révész. (2023). A homeomorphism theorem for sums of translates. Revista Matemática Complutense. 37(2). 341–389. 3 indexed citations
3.
Nagy, Béla, et al.. (2018). Higher Markov and Bernstein inequalities and fast decreasing polynomials with prescribed zeros. SZTE Publicatio Repozitórium (University of Szeged). 1 indexed citations
4.
Nagy, Béla, Ama Szmolka, Sonja Smole Možina, et al.. (2015). Virulence and antimicrobial resistance determinants of verotoxigenic Escherichia coli (VTEC) and of multidrug-resistant E. coli from foods of animal origin illegally imported to the EU by flight passengers. International Journal of Food Microbiology. 209. 52–59. 27 indexed citations
5.
Nagy, Béla & Вилмос Тотик. (2014). Riesz-type inequalities on general sets. Journal of Mathematical Analysis and Applications. 416(1). 344–351. 2 indexed citations
6.
Anjum, Muna F., Evelyn M. Jones, Victoria Morrison, et al.. (2013). Use of virulence determinants and seropathotypes to distinguish high- and low-riskEscherichia coliO157 and non-O157 isolates from Europe. Epidemiology and Infection. 142(5). 1019–1028. 5 indexed citations
7.
Szmolka, Ama & Béla Nagy. (2013). Multidrug resistant commensal Escherichia coli in animals and its impact for public health. Frontiers in Microbiology. 4. 258–258. 238 indexed citations
8.
Nógrády, Noémi, et al.. (2012). Multidrug resistant clones of Salmonella Infantis of broiler origin in Europe. International Journal of Food Microbiology. 157(1). 108–112. 66 indexed citations
9.
Szmolka, Ama, et al.. (2011). Microarray based comparative genotyping of gentamicin resistant Escherichia coli strains from food animals and humans. Veterinary Microbiology. 156(1-2). 110–118. 36 indexed citations
10.
Nógrády, Noémi, et al.. (2009). Molecular and Pathogenic Characterization of Salmonella enterica Serovar Bovismorbificans Strains of Animal, Environmental, Food, and Human Origin in Hungary. Foodborne Pathogens and Disease. 7(5). 507–513. 6 indexed citations
11.
Szmolka, Ama, Balázs Libisch, Judit Pászti, et al.. (2009). Virulence and antimicrobial resistance determinants of human pathogenic and commensal strains ofPseudomonas aeruginosa. Acta Microbiologica et Immunologica Hungarica. 56(4). 399–402. 3 indexed citations
12.
Imre, Ariel, Ferenc Olasz, János Kiss, & Béla Nagy. (2006). A novel transposon-based method for elimination of large bacterial plasmids. Plasmid. 55(3). 235–241. 10 indexed citations
13.
Nagy, Béla. (2004). Asymptotic Bernstein inequality on lemniscates. Journal of Mathematical Analysis and Applications. 301(2). 449–456. 3 indexed citations
14.
Nógrády, Noémi, Ariel Imre, Ivan Rychlı́k, Paul Barrow, & Béla Nagy. (2003). Genes responsible for anaerobic fumarate and arginine metabolism are involved in growth suppression in Salmonella enterica serovar Typhimurium in vitro, without influencing colonisation inhibition in the chicken in vivo. Veterinary Microbiology. 97(3-4). 191–199. 11 indexed citations
15.
Schneider, György, et al.. (2003). Detection of a plasmid-encoded pathogenicity island in F18+ enterotoxigenic and verotoxigenic Escherichia coli from weaned pigs. International Journal of Medical Microbiology. 293(4). 287–298. 14 indexed citations
16.
Nagy, Béla, István Tóth, Jacques Mainil, & Éric Oswald. (2000). Nekrotoxikus Escherichia coli (NTEC) törzsek magyarorszagi elöfordulasa és jellemzése. Magyar Állatorvosok Lapja. 122(12). 751–758.
17.
Tóth, István, et al.. (2000). Characterization of intestinal cnf1+ Escherichia coli from weaned pigs. International Journal of Medical Microbiology. 290(6). 539–542. 12 indexed citations
18.
Nagy, Béla, S. C. Whipp, Hein Imberechts, et al.. (1997). Biological relationship between F18ab and F18ac fimbriae of enterotoxigenic and verotoxigenicEscherichia colifrom weaned pigs with oedema disease or diarrhoea. Microbial Pathogenesis. 22(1). 1–11. 80 indexed citations
19.
Bertschinger, H.U., Hein Imberechts, Béla Nagy, et al.. (1995). Designations F18ab and F18ac for the related fimbrial types F107, 2134P and 8813 of Escherichia coli isolated from porcine postweaning diarrhoea and from oedema disease. Veterinary Microbiology. 45(4). 281–295. 82 indexed citations
20.
Dean-Nystrom, Evelyn A., Thomas A. Casey, Robert A. Schneider, & Béla Nagy. (1993). A monoclonal antibody identifies 2134P fimbriae as adhesins on enterotoxigenic Escherichia coli isolated from postweaning pigs. Veterinary Microbiology. 37(1-2). 101–114. 15 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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