Noemi Čeřovská

954 total citations
63 papers, 768 citations indexed

About

Noemi Čeřovská is a scholar working on Plant Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Noemi Čeřovská has authored 63 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 29 papers in Biotechnology and 24 papers in Molecular Biology. Recurrent topics in Noemi Čeřovská's work include Plant Virus Research Studies (52 papers), Transgenic Plants and Applications (29 papers) and Plant tissue culture and regeneration (13 papers). Noemi Čeřovská is often cited by papers focused on Plant Virus Research Studies (52 papers), Transgenic Plants and Applications (29 papers) and Plant tissue culture and regeneration (13 papers). Noemi Čeřovská collaborates with scholars based in Czechia, Slovakia and South Africa. Noemi Čeřovská's co-authors include Tomáš Moravec, H. Synková, Helena Ryšlavá, Karel Müller, P. Dědič, Tamara Pečenková, Roland Valcke, J. Velemínský, Renáta Schnablová and Neil Boonham and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Plant Science.

In The Last Decade

Noemi Čeřovská

61 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noemi Čeřovská Czechia 17 646 298 219 86 70 63 768
Hal S. Padgett United States 11 1.1k 1.7× 394 1.3× 243 1.1× 127 1.5× 115 1.6× 21 1.2k
Sang Hyon Kim United Kingdom 18 853 1.3× 572 1.9× 97 0.4× 150 1.7× 67 1.0× 24 1.1k
Séverine Lacombe France 13 616 1.0× 228 0.8× 83 0.4× 69 0.8× 27 0.4× 28 726
Thomas H. Turpen United States 12 485 0.8× 559 1.9× 575 2.6× 63 0.7× 104 1.5× 13 898
Christopher M. Kearney United States 14 401 0.6× 358 1.2× 240 1.1× 85 1.0× 52 0.7× 31 626
Koji Dohi Japan 12 725 1.1× 422 1.4× 71 0.3× 62 0.7× 45 0.6× 24 824
Masaki Nishikiori Japan 11 574 0.9× 350 1.2× 52 0.2× 99 1.2× 54 0.8× 17 773
Talya Kunik Israel 10 579 0.9× 398 1.3× 195 0.9× 58 0.7× 49 0.7× 13 778
Ian M. Roberts United Kingdom 12 843 1.3× 355 1.2× 105 0.5× 134 1.6× 106 1.5× 14 995
Marika Rossi Italy 15 489 0.8× 343 1.2× 117 0.5× 28 0.3× 34 0.5× 39 740

Countries citing papers authored by Noemi Čeřovská

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Čeřovská

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Čeřovská

This figure shows the co-authorship network connecting the top 25 collaborators of Noemi Čeřovská. A scholar is included among the top collaborators of Noemi Čeřovská 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 Noemi Čeřovská. Noemi Čeřovská 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.
Moravec, Tomáš, et al.. (2022). A GoldenBraid-Compatible Virus-Based Vector System for Transient Expression of Heterologous Proteins in Plants. Viruses. 14(5). 1099–1099. 1 indexed citations
2.
Čeřovská, Noemi, et al.. (2022). One-Enzyme RTX-PCR for the Detection of RNA Viruses from Multiple Virus Genera and Crop Plants. Viruses. 14(2). 298–298. 9 indexed citations
3.
Kavan, Daniel, et al.. (2021). Effects of heat treatment on metabolism of tobacco plants infected with Potato virus Y. Plant Biology. 23(S1). 131–141. 11 indexed citations
4.
Čeřovská, Noemi, et al.. (2020). Transient protein expression in tobacco BY-2 plant cell packs using single and multi-cassette replicating vectors. Plant Cell Reports. 39(9). 1115–1127. 14 indexed citations
5.
Müller, Karel, Renáta Schnablová, Helena Ryšlavá, et al.. (2015). Tobacco susceptibility to Potato virus YNTN infection is affected by grafting and endogenous cytokinin content. Plant Science. 235. 25–36. 18 indexed citations
6.
Čeřovská, Noemi, Tomáš Moravec, H. Synková, et al.. (2012). Transient expression of Human papillomavirus type 16 L2 epitope fused to N- and C-terminus of coat protein of Potato virus X in plants. Journal of Biosciences. 37(1). 125–133. 34 indexed citations
7.
8.
Čeřovská, Noemi, et al.. (2009). Short communication: Molecular analysis of Potato leafroll virus isolates from the Czech Republic. Virus Genes. 39(1). 153–155. 14 indexed citations
9.
Čeřovská, Noemi, et al.. (2008). Optimum storage conditions for product of transiently expressed epitopes of Human papillomavirus using Potato virus X-based vector. Biologia Plantarum. 52(1). 184–186. 1 indexed citations
10.
Moravec, Tomáš, et al.. (2008). Production of polyclonal antibodies to a recombinant coat protein of potato virus Y. Folia Microbiologica. 53(5). 438–442. 16 indexed citations
11.
Čeřovská, Noemi, et al.. (2007). Transient expression of HPV16 E7 peptide (aa 44–60) and HPV16 L2 peptide (aa 108–120) on chimeric potyvirus-like particles using Potato virus X-based vector. Protein Expression and Purification. 58(1). 154–161. 30 indexed citations
12.
Pečenková, Tamara, et al.. (2005). Efficient bacterial expression of recombinant potato mop-top virus non-structural triple gene block protein 1 modified by progressive deletion of its N-terminus. Protein Expression and Purification. 41(1). 128–135. 5 indexed citations
13.
Pečenková, Tamara, et al.. (2004). Extended Sequence Analysis of Three Danish Potato Mop-Top Virus (PMTV) Isolates. Virus Genes. 29(2). 249–255. 9 indexed citations
14.
Moravec, Tomáš, Noemi Čeřovská, & Neil Boonham. (2003). The detection of recombinant, tuber necrosing isolates of Potato virus Y (PVYNTN) using a three-primer PCR based in the coat protein gene. Journal of Virological Methods. 109(1). 63–68. 29 indexed citations
15.
Čeřovská, Noemi, Tomáš Moravec, & J. Velemínský. (2002). Polyclonal antibodies to a recombinant coat protein of Potato virus A.. PubMed. 46(3). 147–51. 9 indexed citations
16.
Čeřovská, Noemi, et al.. (2001). Nucleotide sequences of 5'-terminal parts of coat protein genes of various isolates of NTN strain of potato virus Y.. PubMed. 45(1). 55–9. 6 indexed citations
17.
Čeřovská, Noemi. (1999). Spector, D.L., Goldman, R.D., Leinwand L.A. (ed.): Cells: A Laboratory Manual. Volume 1: Culture and Biochemical Analysis of Cells. Biologia Plantarum. 42(3). 440–440. 6 indexed citations
18.
Moravec, Tomáš, Noemi Čeřovská, & Adam Pavlı́c̀ek. (1998). Electron microscopic observation of potato virus A using murine monoclonal antibodies.. PubMed. 42(5). 341–5. 1 indexed citations
19.
Šubr, Zdeno, Tomáš Moravec, & Noemi Čeřovská. (1996). Monoclonal antibodies against potato virus A -- immunoblot analysis.. PubMed. 40(5-6). 289–92. 3 indexed citations
20.
Čeřovská, Noemi, et al.. (1996). Partial antigenic characterization of potato virus S (Andean strain) by monoclonal antibodies.. PubMed. 40(1). 23–6. 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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