Zsolt Balázs

1.4k total citations · 1 hit paper
32 papers, 826 citations indexed

About

Zsolt Balázs is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Zsolt Balázs has authored 32 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Epidemiology and 6 papers in Oncology. Recurrent topics in Zsolt Balázs's work include Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (8 papers) and Plant Virus Research Studies (5 papers). Zsolt Balázs is often cited by papers focused on Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (8 papers) and Plant Virus Research Studies (5 papers). Zsolt Balázs collaborates with scholars based in Hungary, United States and Switzerland. Zsolt Balázs's co-authors include Zsolt Boldogkői, Dóra Tombácz, M Snyder, Zsolt Csabai, Norbert Moldován, Attila Szűcs, Donald Sharon, Michael Krauthammer, Klára Megyeri and Ahmed Allam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Zsolt Balázs

32 papers receiving 823 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting prime editing efficiency and product purity by deep learning

2023 84 citations Nicolas Mathis, Ahmed Allam et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zsolt Balázs Hungary	16	404	305	156	147	127	32	826
Zsolt Csabai Hungary	15	281 0.7×	370 1.2×	126 0.8×	49 0.3×	144 1.1×	47	739
Amal Rahmeh United States	19	460 1.1×	520 1.7×	101 0.6×	181 1.2×	176 1.4×	28	1.3k
Irene Saugar Spain	14	384 1.0×	191 0.6×	47 0.3×	102 0.7×	93 0.7×	16	632
Fernando Abaitua United Kingdom	18	234 0.6×	511 1.7×	59 0.4×	208 1.4×	69 0.5×	25	845
Enzo Z. Poirier France	12	343 0.8×	68 0.2×	53 0.3×	86 0.6×	138 1.1×	19	814
Paul A. Sheehy Australia	19	244 0.6×	170 0.6×	26 0.2×	274 1.9×	39 0.3×	51	982
Jennifer A. Corcoran Canada	18	445 1.1×	215 0.7×	74 0.5×	233 1.6×	31 0.2×	31	853
Addison V. Wright United States	9	1.5k 3.8×	151 0.5×	37 0.2×	354 2.4×	155 1.2×	9	1.6k
Kee Jun Kim United States	15	358 0.9×	211 0.7×	57 0.4×	157 1.1×	36 0.3×	17	1.2k

Countries citing papers authored by Zsolt Balázs

Since Specialization

Citations

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

Fields of papers citing papers by Zsolt Balázs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsolt Balázs

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

All Works

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20 of 20 papers shown

Mathis, Nicolas, Ahmed Allam, András Tálas, et al.. (2024). Machine learning prediction of prime editing efficiency across diverse chromatin contexts. Nature Biotechnology. 43(5). 712–719. 27 indexed citations

Balázs, Zsolt, Panagiotis Balermpas, Jonas Willmann, et al.. (2024). Longitudinal cell-free DNA characterization by low-coverage whole-genome sequencing in patients undergoing high-dose radiotherapy. Radiotherapy and Oncology. 197. 110364–110364. 1 indexed citations

Esposito, Mauro, Zsolt Balázs, Evelyn Lattmann, et al.. (2024). COL10A1 expression distinguishes a subset of cancer-associated fibroblasts present in the stroma of high-risk basal cell carcinoma. British Journal of Dermatology. 191(5). 775–790. 3 indexed citations

Schorer, Michelle, Zsolt Balázs, Michael Krauthammer, et al.. (2024). Innate acting memory Th1 cells modulate heterologous diseases. Proceedings of the National Academy of Sciences. 121(24). e2312837121–e2312837121. 1 indexed citations

Mathis, Nicolas, Ahmed Allam, Lucas Kissling, et al.. (2023). Predicting prime editing efficiency and product purity by deep learning. Nature Biotechnology. 41(8). 1151–1159. 84 indexed citations breakdown →

Restivo, Gaetana, Aizhan Tastanova, Zsolt Balázs, et al.. (2022). Live slow-frozen human tumor tissues viable for 2D, 3D, ex vivo cultures and single-cell RNAseq. Communications Biology. 5(1). 1144–1144. 7 indexed citations

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

Ramelyte, Egle, Aizhan Tastanova, Zsolt Balázs, et al.. (2021). Oncolytic virotherapy-mediated anti-tumor response: a single-cell perspective. Cancer Cell. 39(3). 394–406.e4. 79 indexed citations

Tastanova, Aizhan, Egle Ramelyte, Zsolt Balázs, et al.. (2021). Collection and preprocessing of fine needle aspirate patient samples for single cell profiling and data analysis. STAR Protocols. 2(2). 100581–100581. 2 indexed citations

10.

Boldogkői, Zsolt, Zsolt Balázs, Norbert Moldován, István Prazsák, & Dóra Tombácz. (2019). Novel classes of replication-associated transcripts discovered in viruses. RNA Biology. 16(2). 166–175. 13 indexed citations

11.

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

12.

Boldogkői, Zsolt, Dóra Tombácz, & Zsolt Balázs. (2019). Interactions between the transcription and replication machineries regulate the RNA and DNA synthesis in the herpesviruses. Virus Genes. 55(3). 274–279. 7 indexed citations

13.

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

14.

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

15.

Balázs, Zsolt, Dóra Tombácz, Attila Szűcs, M Snyder, & Zsolt Boldogkői. (2018). Dual Platform Long-Read RNA-Sequencing Dataset of the Human Cytomegalovirus Lytic Transcriptome. Frontiers in Genetics. 9. 432–432. 12 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.

Tombácz, Dóra, Zsolt Balázs, Zsolt Csabai, et al.. (2017). Characterization of the Dynamic Transcriptome of a Herpesvirus with Long-read Single Molecule Real-Time Sequencing. Scientific Reports. 7(1). 43751–43751. 41 indexed citations

18.

Balázs, Zsolt, Dóra Tombácz, Attila Szűcs, M Snyder, & Zsolt Boldogkői. (2017). Long-read sequencing of the human cytomegalovirus transcriptome with the Pacific Biosciences RSII platform. Scientific Data. 4(1). 170194–170194. 27 indexed citations

19.

Tombácz, Dóra, Norbert Moldován, Zsolt Balázs, et al.. (2017). Genetic Adaptation of Porcine Circovirus Type 1 to Cultured Porcine Kidney Cells Revealed by Single-Molecule Long-Read Sequencing Technology. Genome Announcements. 5(5). 1 indexed citations

20.

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

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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