Norbert Moldován

1.2k total citations
38 papers, 656 citations indexed

About

Norbert Moldován is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Norbert Moldován has authored 38 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Epidemiology and 10 papers in Plant Science. Recurrent topics in Norbert Moldován's work include Plant Virus Research Studies (10 papers), Herpesvirus Infections and Treatments (9 papers) and Cancer Genomics and Diagnostics (7 papers). Norbert Moldován is often cited by papers focused on Plant Virus Research Studies (10 papers), Herpesvirus Infections and Treatments (9 papers) and Cancer Genomics and Diagnostics (7 papers). Norbert Moldován collaborates with scholars based in Hungary, United States and Netherlands. Norbert Moldován's co-authors include Zsolt Boldogkői, Dóra Tombácz, M Snyder, Zsolt Csabai, Zsolt Balázs, Attila Szűcs, Donald Sharon, István Prazsák, Florent Moulière and Ymke van der Pol and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Norbert Moldován

38 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Moldován Hungary 15 308 246 186 119 107 38 656
Emilie Hultin Sweden 15 232 0.8× 369 1.5× 44 0.2× 123 1.0× 65 0.6× 28 583
Gema Gómez‐Mariano Spain 14 289 0.9× 80 0.3× 53 0.3× 57 0.5× 101 0.9× 28 658
Adam W. Whisnant Germany 13 743 2.4× 236 1.0× 256 1.4× 69 0.6× 81 0.8× 19 1.0k
Maiken Worsøe Rosenstierne Denmark 15 365 1.2× 120 0.5× 150 0.8× 59 0.5× 19 0.2× 30 853
Jumpei Ito Japan 15 439 1.4× 138 0.6× 26 0.1× 67 0.6× 189 1.8× 47 803
Wolfgang Vahrson United States 10 250 0.8× 106 0.4× 56 0.3× 142 1.2× 39 0.4× 12 518
John Lyle United States 8 223 0.7× 233 0.9× 22 0.1× 89 0.7× 65 0.6× 15 571
Shuai Cao China 14 215 0.7× 224 0.9× 27 0.1× 20 0.2× 61 0.6× 19 503
Cristina Romero‐López Spain 18 711 2.3× 167 0.7× 118 0.6× 17 0.1× 60 0.6× 51 1.0k

Countries citing papers authored by Norbert Moldován

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Moldován

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Moldován

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Moldován. A scholar is included among the top collaborators of Norbert Moldován 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 Norbert Moldován. Norbert Moldován 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.
Chen, Li‐Ting, Myrthe Jager, Tom van den Ende, et al.. (2025). Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling. Genome Research. 35(4). 886–899. 3 indexed citations
2.
Ende, Tom van den, Ymke van der Pol, Aafke Creemers, et al.. (2023). Genome‐wide and panel‐based cell‐free DNA characterization of patients with resectable esophageal adenocarcinoma. The Journal of Pathology. 261(3). 286–297. 3 indexed citations
3.
Pol, Ymke van der, Anouk E. Hentschel, Jip Ramaker, et al.. (2023). Real‐time analysis of the cancer genome and fragmentome from plasma and urine cell‐free DNA using nanopore sequencing. EMBO Molecular Medicine. 15(12). e17282–e17282. 29 indexed citations
4.
Moldován, Norbert, Ymke van der Pol, Tom van den Ende, et al.. (2023). Multi-modal cell-free DNA genomic and fragmentomic patterns enhance cancer survival and recurrence analysis. Cell Reports Medicine. 5(1). 101349–101349. 26 indexed citations
5.
Pol, Ymke van der, Norbert Moldován, Sandra A.W.M. Verkuijlen, et al.. (2022). The Effect of Preanalytical and Physiological Variables on Cell-Free DNA Fragmentation. Clinical Chemistry. 68(6). 803–813. 29 indexed citations
6.
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
7.
Tombácz, Dóra, Norbert Moldován, István Prazsák, et al.. (2022). Dual isoform sequencing reveals complex transcriptomic and epitranscriptomic landscapes of a prototype baculovirus. Scientific Reports. 12(1). 1291–1291. 3 indexed citations
8.
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
9.
Maróti, Zoltán, Dóra Tombácz, Norbert Moldován, et al.. (2021). Time course profiling of host cell response to herpesvirus infection using nanopore and synthetic long-read transcriptome sequencing. Scientific Reports. 11(1). 14219–14219. 5 indexed citations
10.
Tombácz, Dóra, et al.. (2020). Meta-analytic approach for transcriptome profiling of herpes simplex virus type 1. Scientific Data. 7(1). 223–223. 7 indexed citations
11.
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
12.
Olasz, Ferenc, Dóra Tombácz, Zsolt Csabai, et al.. (2020). Short and Long-Read Sequencing Survey of the Dynamic Transcriptomes of African Swine Fever Virus and the Host Cells. Frontiers in Genetics. 11. 758–758. 10 indexed citations
13.
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
14.
Balázs, Zsolt, Dóra Tombácz, Zsolt Csabai, et al.. (2019). Template-switching artifacts resemble alternative polyadenylation. BMC Genomics. 20(1). 824–824. 33 indexed citations
15.
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
16.
Boldogkői, Zsolt, Norbert Moldován, Attila Szűcs, & Dóra Tombácz. (2018). Transcriptome-wide analysis of a baculovirus using nanopore sequencing. Scientific Data. 5(1). 180276–180276. 8 indexed citations
17.
Tombácz, Dóra, István Prazsák, Norbert Moldován, Attila Szűcs, & Zsolt Boldogkői. (2018). Lytic Transcriptome Dataset of Varicella Zoster Virus Generated by Long-Read Sequencing. Frontiers in Genetics. 9. 460–460. 5 indexed citations
18.
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
19.
Tombácz, Dóra, Donald Sharon, Attila Szűcs, et al.. (2018). Transcriptome-wide survey of pseudorabies virus using next- and third-generation sequencing platforms. Scientific Data. 5(1). 180119–180119. 19 indexed citations
20.
Tombácz, Dóra, Zsolt Csabai, Attila Szűcs, et al.. (2017). Long-Read Isoform Sequencing Reveals a Hidden Complexity of the Transcriptional Landscape of Herpes Simplex Virus Type 1. Frontiers in Microbiology. 8. 1079–1079. 51 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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