Tamás Tuboly

1.6k total citations
57 papers, 1.3k citations indexed

About

Tamás Tuboly is a scholar working on Animal Science and Zoology, Genetics and Infectious Diseases. According to data from OpenAlex, Tamás Tuboly has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Animal Science and Zoology, 34 papers in Genetics and 28 papers in Infectious Diseases. Recurrent topics in Tamás Tuboly's work include Animal Virus Infections Studies (40 papers), Virus-based gene therapy research (34 papers) and Viral gastroenteritis research and epidemiology (26 papers). Tamás Tuboly is often cited by papers focused on Animal Virus Infections Studies (40 papers), Virus-based gene therapy research (34 papers) and Viral gastroenteritis research and epidemiology (26 papers). Tamás Tuboly collaborates with scholars based in Hungary, Canada and Romania. Tamás Tuboly's co-authors include Attila Cságola, Márta Lőrincz, Éva Nagy, Dániel Cadar, Kata Tombácz, Ádám Dán, Imre Biksi, Tímea Kiss, J.B. Derbyshire and Marina Spînu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Virology.

In The Last Decade

Tamás Tuboly

57 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
Tamás Tuboly Hungary 22 949 691 629 275 223 57 1.3k
Ronald D. Wesley United States 25 1.1k 1.1× 665 1.0× 1.1k 1.8× 139 0.5× 237 1.1× 65 1.7k
Ana Paula Muterle Varela Brazil 18 541 0.6× 294 0.4× 448 0.7× 147 0.5× 139 0.6× 81 1.0k
Yu Huang China 17 588 0.6× 323 0.5× 490 0.8× 276 1.0× 137 0.6× 81 923
Chunyi Xue China 28 1.3k 1.4× 677 1.0× 1.3k 2.0× 227 0.8× 344 1.5× 97 2.1k
Holly S. Sellers United States 22 806 0.8× 196 0.3× 728 1.2× 206 0.7× 97 0.4× 61 1.2k
Dachrit Nilubol Thailand 23 988 1.0× 609 0.9× 914 1.5× 249 0.9× 117 0.5× 68 1.4k
Yufeng Li China 24 1.2k 1.3× 890 1.3× 1.0k 1.7× 224 0.8× 198 0.9× 90 1.7k
Hyoungjoon Moon South Korea 21 907 1.0× 583 0.8× 1.0k 1.6× 211 0.8× 153 0.7× 53 1.7k
Yijun Du China 21 745 0.8× 522 0.8× 673 1.1× 227 0.8× 203 0.9× 71 1.3k
Huigang Shen United States 21 605 0.6× 418 0.6× 521 0.8× 215 0.8× 64 0.3× 44 928

Countries citing papers authored by Tamás Tuboly

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Tuboly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Tuboly

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Tuboly. A scholar is included among the top collaborators of Tamás Tuboly 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 Tamás Tuboly. Tamás Tuboly 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.
Novosel, Dinko, Tamás Tuboly, Gyula Balka, et al.. (2019). Evidence of CPV2c introgression into Croatia and novel insights into phylogeny and cell tropism. Scientific Reports. 9(1). 16909–16909. 6 indexed citations
2.
Szabó‐Fodor, Judit, András Szabó, Zsolt Gerencsér, et al.. (2017). Subchronic exposure to deoxynivalenol exerts slight effect on the immune system and liver morphology of growing rabbits. Acta Veterinaria Brno. 86(1). 37–44. 10 indexed citations
3.
Kovács, Melinda, Tamás Tuboly, Tamás Donkó, et al.. (2016). Feed exposure to FB1 can aggravate pneumonic damages in pigs provoked by P. multocida. Research in Veterinary Science. 108. 38–46. 8 indexed citations
4.
5.
Fehér, Enikő, Csaba Székely, Márta Lőrincz, et al.. (2013). Integrated circoviral rep-like sequences in the genome of cyprinid fish. Virus Genes. 47(2). 374–377. 12 indexed citations
6.
Gellért, Ákos, Katalin Salánki, Kata Tombácz, Tamás Tuboly, & Ervin Balázs. (2012). A Cucumber Mosaic Virus Based Expression System for the Production of Porcine Circovirus Specific Vaccines. PLoS ONE. 7(12). e52688–e52688. 15 indexed citations
7.
Cadar, Dániel, Attila Cságola, Márta Lőrincz, et al.. (2012). Detection of natural inter- and intra-genotype recombination events revealed by cap gene analysis and decreasing prevalence of PCV2 in wild boars. Infection Genetics and Evolution. 12(2). 420–427. 31 indexed citations
8.
Cadar, Dániel, Ádám Dán, Kata Tombácz, et al.. (2012). Phylogeny and evolutionary genetics of porcine parvovirus in wild boars. Infection Genetics and Evolution. 12(6). 1163–1171. 41 indexed citations
9.
Lőrincz, Márta, Ádám Dán, G. Csaba, et al.. (2012). Novel circovirus in European catfish (Silurus glanis). Archives of Virology. 157(6). 1173–1176. 43 indexed citations
10.
Cságola, Attila, et al.. (2011). Genetic diversity of pigeon circovirus in Hungary. Virus Genes. 44(1). 75–79. 32 indexed citations
11.
Papp, Zoltán, et al.. (2011). The effect of fermented wheat germ extracton production parameters and immune statusof growing pigs. Journal of Animal and Feed Sciences. 20(1). 36–46. 9 indexed citations
12.
Tuboly, Tamás, et al.. (2009). A t-2 toxin és a fermentált búzacsíra kivonatának hatása választott malacok immunvá laszára. Magyar Állatorvosok Lapja. 131(5). 276–282. 2 indexed citations
13.
Bálint, Ádám, M. Tenk, Thomas Bruun Rasmussen, et al.. (2009). Development of Primer-Probe Energy Transfer real-time PCR for the detection and quantification of porcine circovirus type 2. Acta Veterinaria Hungarica. 57(3). 441–452. 9 indexed citations
14.
Cadar, Dániel, Attila Cságola, Ádám Dán, et al.. (2007). Porcine circovirus type 2 and associated diseases in Romania — Short communication. Acta Veterinaria Hungarica. 55(1). 151–156. 6 indexed citations
15.
Tuboly, Tamás & Éva Nagy. (2000). Sequence analysis and deletion of porcine adenovirus serotype 5 E3 region. Virus Research. 68(2). 109–117. 6 indexed citations
16.
Kiss, István, et al.. (2000). New Pig Disease in Hungary: Postweaning Multisystemic Wasting Syndrome Caused by Circovirus (Short Communication). Acta Veterinaria Hungarica. 48(4). 469–475. 18 indexed citations
17.
Jiang, Ping, Davor Ojkić, Tamás Tuboly, P Huber, & Éva Nagy. (1999). Application of the polymerase chain reaction to detect fowl adenoviruses.. PubMed. 63(2). 124–8. 28 indexed citations
18.
Reddy, P. Seshidhar, et al.. (1995). Comparison of the Inverted Terminal Repetition Sequences from Five Porcine Adenovirus Serotypes. Virology. 212(1). 237–239. 12 indexed citations
19.
Reddy, P. Seshidhar, Tamás Tuboly, �. Nagy, & J.B. Derbyshire. (1995). Molecular cloning and physical mapping of porcine adenovirus types 1 and 2. Archives of Virology. 140(1). 195–200. 7 indexed citations
20.
Czifra, György, Bo Sundquist, Tamás Tuboly, & L. Stipkovits. (1993). Evaluation of a Monoclonal Blocking Enzyme-Linked Immunosorbent Assay for the Detection of Mycoplasma gallisepticum-Specific Antibodies. Avian Diseases. 37(3). 680–680. 17 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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