Zsolt Csabai

1.3k total citations
47 papers, 739 citations indexed

About

Zsolt Csabai is a scholar working on Epidemiology, Molecular Biology and Plant Science. According to data from OpenAlex, Zsolt Csabai has authored 47 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 16 papers in Molecular Biology and 14 papers in Plant Science. Recurrent topics in Zsolt Csabai's work include Herpesvirus Infections and Treatments (21 papers), Plant Virus Research Studies (14 papers) and Cytomegalovirus and herpesvirus research (14 papers). Zsolt Csabai is often cited by papers focused on Herpesvirus Infections and Treatments (21 papers), Plant Virus Research Studies (14 papers) and Cytomegalovirus and herpesvirus research (14 papers). Zsolt Csabai collaborates with scholars based in Hungary, United States and India. Zsolt Csabai's co-authors include Zsolt Boldogkői, Dóra Tombácz, M Snyder, Zsolt Balázs, Norbert Moldován, Attila Szűcs, Donald Sharon, Péter Oláh, István Prazsák and Klára Megyeri and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Zsolt Csabai

45 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsolt Csabai Hungary 15 370 281 144 126 116 47 739
Zsolt Balázs Hungary 16 305 0.8× 404 1.4× 127 0.9× 156 1.2× 100 0.9× 32 826
Amal Rahmeh United States 19 520 1.4× 460 1.6× 176 1.2× 101 0.8× 123 1.1× 28 1.3k
Irene Saugar Spain 14 191 0.5× 384 1.4× 93 0.6× 47 0.4× 60 0.5× 16 632
Enzo Z. Poirier France 12 68 0.2× 343 1.2× 138 1.0× 53 0.4× 64 0.6× 19 814
Lei Tan China 12 165 0.4× 253 0.9× 95 0.7× 29 0.2× 25 0.2× 38 588
Jason Seto United States 16 262 0.7× 533 1.9× 52 0.4× 65 0.5× 86 0.7× 32 1.1k
Paul A. Sheehy Australia 19 170 0.5× 244 0.9× 39 0.3× 26 0.2× 76 0.7× 51 982
Derek T. Scholes United States 8 458 1.2× 506 1.8× 154 1.1× 16 0.1× 38 0.3× 8 925
Min Liao China 21 327 0.9× 214 0.8× 39 0.3× 17 0.1× 24 0.2× 49 1.1k
Danica L. Lerner United States 15 387 1.0× 340 1.2× 49 0.3× 30 0.2× 36 0.3× 21 1.0k

Countries citing papers authored by Zsolt Csabai

Since Specialization
Citations

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

Fields of papers citing papers by Zsolt Csabai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsolt Csabai

This figure shows the co-authorship network connecting the top 25 collaborators of Zsolt Csabai. A scholar is included among the top collaborators of Zsolt Csabai 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 Zsolt Csabai. Zsolt Csabai 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.
Tombácz, Dóra, et al.. (2025). Mapping the temporal transcriptomic signature of a viral pathogen through CAGE and nanopore sequencing. PLoS ONE. 20(4). e0320439–e0320439.
2.
Tombácz, Dóra, István Prazsák, Zsolt Csabai, et al.. (2023). Hybrid sequencing discloses unique aspects of the transcriptomic architecture in equid alphaherpesvirus 1. Heliyon. 9(7). e17716–e17716. 4 indexed citations
3.
Tombácz, Dóra, Zsolt Csabai, Balázs Kakuk, et al.. (2023). Identification of herpesvirus transcripts from genomic regions around the replication origins. Scientific Reports. 13(1). 16395–16395. 8 indexed citations
4.
Moldován, Norbert, Kálmán Szenthe, Ferenc Bánáti, et al.. (2022). Integrative profiling of Epstein–Barr virus transcriptome using a multiplatform approach. Virology Journal. 19(1). 7–7. 10 indexed citations
5.
Tombácz, Dóra, Zsolt Csabai, István Prazsák, et al.. (2022). High temporal resolution Nanopore sequencing dataset of SARS-CoV-2 and host cell RNAs. GigaScience. 11. 3 indexed citations
6.
Tombácz, Dóra, István Prazsák, Zsolt Csabai, et al.. (2021). Time-Course Transcriptome Profiling of a Poxvirus Using Long-Read Full-Length Assay. Pathogens. 10(8). 919–919. 4 indexed citations
7.
Kakuk, Balázs, Zsolt Csabai, István Prazsák, et al.. (2021). Nanopore Assay Reveals Cell-Type-Dependent Gene Expression of Vesicular Stomatitis Indiana Virus and Differential Host Cell Response. Pathogens. 10(9). 1196–1196. 2 indexed citations
8.
Boldogkői, Zsolt, Zsolt Csabai, Dóra Tombácz, et al.. (2021). Visible Light-Generated Antiviral Effect on Plasmonic Ag-TiO2-Based Reactive Nanocomposite Thin Film. Frontiers in Bioengineering and Biotechnology. 9. 709462–709462. 8 indexed citations
9.
Tombácz, Dóra, et al.. (2021). Combined Short and Long-Read Sequencing Reveals a Complex Transcriptomic Architecture of African Swine Fever Virus. Viruses. 13(4). 579–579. 14 indexed citations
10.
Tombácz, Dóra, István Prazsák, Zsolt Csabai, et al.. (2020). Long-read assays shed new light on the transcriptome complexity of a viral pathogen. Scientific Reports. 10(1). 13822–13822. 15 indexed citations
11.
Moldován, Norbert, Ákos Hornyák, Zoltán Zádori, et al.. (2020). Time-course profiling of bovine alphaherpesvirus 1.1 transcriptome using multiplatform sequencing. Scientific Reports. 10(1). 20496–20496. 10 indexed citations
12.
Csabai, Zsolt, et al.. (2019). Analysis of the Complete Genome Sequence of a Novel, Pseudorabies Virus Strain Isolated in Southeast Europe. Canadian Journal of Infectious Diseases and Medical Microbiology. 2019. 1–12. 6 indexed citations
13.
Tombácz, Dóra, Norbert Moldován, Zsolt Balázs, et al.. (2019). Multiple Long-Read Sequencing Survey of Herpes Simplex Virus Dynamic Transcriptome. Frontiers in Genetics. 10. 834–834. 31 indexed citations
14.
Moldován, Norbert, Dóra Tombácz, Attila Szűcs, et al.. (2018). Third-generation Sequencing Reveals Extensive Polycistronism and Transcriptional Overlapping in a Baculovirus. Scientific Reports. 8(1). 8604–8604. 40 indexed citations
15.
Prazsák, István, Norbert Moldován, Zsolt Balázs, et al.. (2018). Long-read sequencing uncovers a complex transcriptome topology in varicella zoster virus. BMC Genomics. 19(1). 873–873. 45 indexed citations
16.
Tombácz, Dóra, Zoltán Maróti, Tibor Kalmár, et al.. (2017). High-Coverage Whole-Exome Sequencing Identifies Candidate Genes for Suicide in Victims with Major Depressive Disorder. Scientific Reports. 7(1). 7106–7106. 46 indexed citations
17.
Csabai, Zsolt, et al.. (2017). Evaluation of the impact of ul54 gene-deletion on the global transcription and DNA replication of pseudorabies virus. Archives of Virology. 162(9). 2679–2694. 4 indexed citations
18.
19.
Tombácz, Dóra, Zsolt Csabai, Péter Oláh, et al.. (2016). Full-Length Isoform Sequencing Reveals Novel Transcripts and Substantial Transcriptional Overlaps in a Herpesvirus. PLoS ONE. 11(9). e0162868–e0162868. 64 indexed citations
20.
Tombácz, Dóra, Zsolt Csabai, Péter Oláh, et al.. (2015). Characterization of Novel Transcripts in Pseudorabies Virus. Viruses. 7(5). 2727–2744. 28 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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