Noémi Lukács

441 total citations
14 papers, 335 citations indexed

About

Noémi Lukács is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Noémi Lukács has authored 14 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Noémi Lukács's work include Plant Virus Research Studies (5 papers), Plant and Fungal Interactions Research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Noémi Lukács is often cited by papers focused on Plant Virus Research Studies (5 papers), Plant and Fungal Interactions Research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Noémi Lukács collaborates with scholars based in Hungary, Germany and United States. Noémi Lukács's co-authors include Rainer Kassing, E. Oesterschulze, Dénes Dudits, Jürgen Oberstraß, Wolfgang Nellen, Gábor V. Horváth, Hanns-Joachim Rziha, Heinz‐Jürgen Thiel, C Schreurs and Thomas C. Mettenleiter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Noémi Lukács

14 papers receiving 317 citations

Peers

Noémi Lukács
Anthony R. Dawson United States
Jiayi Sun United States
Jennifer F. Pinello United States
Gaener Rodger United Kingdom
Eugene V. Sheval Russia
Kelly N. DuBois United Kingdom
Thorsten Stellberger Germany
Lucas Patel United States
Jackie Perrin Switzerland
Leonard W. Pollard United States
Anthony R. Dawson United States
Noémi Lukács
Citations per year, relative to Noémi Lukács Noémi Lukács (= 1×) peers Anthony R. Dawson

Countries citing papers authored by Noémi Lukács

Since Specialization
Citations

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

Fields of papers citing papers by Noémi Lukács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noémi Lukács

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

All Works

14 of 14 papers shown
1.
2.
Gáspár, László, et al.. (2016). Effect of crop management and cultivar on colonization of Capsicum annuum L. by Endophytic Fungi. SHILAP Revista de lepidopterología. 8(1). 5–15. 1 indexed citations
3.
Ábrahám, Edit, Ilona Farkas, Zsuzsanna Darula, et al.. (2014). The B″ regulatory subunit of protein phosphatase 2A mediates the dephosphorylation of rice retinoblastoma-related protein-1. Plant Molecular Biology. 87(1-2). 125–141. 4 indexed citations
4.
Deshmukh, Sachin D., Dorina Veliceasa, Éva Hunyadi‐Gulyás, et al.. (2010). The genome of Beet cryptic virus 1 shows high homology to certain cryptoviruses present in phylogenetically distant hosts. Virus Genes. 40(2). 267–276. 14 indexed citations
5.
Deshmukh, Diwakar S., et al.. (2006). Targeting dsRNA-specific single-chain Fv antibody fragments to different cellular locations inNicotiana tabacumL.. Acta Biologica Hungarica. 57(2). 247–259. 2 indexed citations
6.
Veliceasa, Dorina, et al.. (2006). Searching for a New Putative Cryptic Virus in Pinus sylvestris L. Virus Genes. 32(2). 177–186. 15 indexed citations
7.
Lukács, Noémi, et al.. (2005). Detection of high molecular weight dsRNA persisting in Dianthus species. 3 indexed citations
8.
Barna, B., Jacek Hennig, Dorota Konopka‐Postupolska, et al.. (2003). Phytoglobins can interfere with nitric oxide functions during plant growth and pathogenic responses: a transgenic approach. Plant Science. 165(3). 541–550. 55 indexed citations
9.
Oberstraß, Jürgen, et al.. (2000). Determination of preferential binding sites for anti-dsRNA antibodies on double-stranded RNA by scanning force microscopy. RNA. 6(4). 563–570. 79 indexed citations
10.
Mustárdy, László, Ferhan Ayaydin, László Sass, et al.. (2000). Nuclear localization of a hypoxia‐inducible novel non‐symbiotic hemoglobin in cultured alfalfa cells1. FEBS Letters. 482(1-2). 125–130. 58 indexed citations
11.
Lukács, Noémi. (1994). Detection of virus infection in plants and differentiation between coexisting viruses by monoclonal antibodies to double-stranded RNA. Journal of Virological Methods. 47(3). 255–272. 36 indexed citations
12.
Lukács, Noémi, et al.. (1989). Degree of biotinylation in nucleic acids estimated by a gel retardation assay. Analytical Biochemistry. 179(1). 98–105. 20 indexed citations
13.
Mettenleiter, Thomas C., Noémi Lukács, Heinz‐Jürgen Thiel, C Schreurs, & Hanns-Joachim Rziha. (1986). Location of the structural gene of pseudorabies virus glycoprotein complex gII. Virology. 152(1). 66–75. 38 indexed citations
14.

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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