Dénes Türei

4.4k total citations · 3 hit papers
25 papers, 2.1k citations indexed

About

Dénes Türei is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Dénes Türei has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Dénes Türei's work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Dénes Türei is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Dénes Türei collaborates with scholars based in Germany, United Kingdom and Hungary. Dénes Türei's co-authors include Julio Sáez-Rodríguez, Tamás Korcsmáros, Luz García‐Alonso, Mahmoud M. Ibrahim, Christian H. Holland, Dezső Módos, Péter Csermely, Katalin Lenti, Dávid Fazekas and Alberto Valdeolivas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Dénes Türei

25 papers receiving 2.1k 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.

Benchmark and integration of resources for the estimation of human transcription factor activities

2019 483 citations Luz García‐Alonso, Christian H. Holland et al. Genome Research profile →
OmniPath: guidelines and gateway for literature-curated signaling pathway resources

2016 386 citations Dénes Türei, Tamás Korcsmáros et al. Nature Methods profile →
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

2022 237 citations Daniel Dimitrov, Dénes Türei et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dénes Türei Germany	17	1.5k	281	260	236	191	25	2.1k
Sourav Bandyopadhyay United States	27	2.4k 1.6×	205 0.7×	208 0.8×	284 1.2×	228 1.2×	44	3.4k
Kristina Hanspers United States	19	2.3k 1.6×	246 0.9×	136 0.5×	450 1.9×	178 0.9×	25	3.1k
John Erol Evangelista United States	11	1.3k 0.9×	333 1.2×	157 0.6×	338 1.4×	189 1.0×	22	2.2k
Martina Kutmon Netherlands	17	1.4k 1.0×	190 0.7×	130 0.5×	325 1.4×	167 0.9×	51	2.1k
David W. Morgens United States	19	1.8k 1.3×	491 1.7×	197 0.8×	161 0.7×	403 2.1×	34	2.9k
Lan K. Nguyen United States	25	1.5k 1.0×	150 0.5×	435 1.7×	342 1.4×	140 0.7×	84	2.3k
Kanae Oda Japan	10	1.2k 0.8×	261 0.9×	105 0.4×	144 0.6×	102 0.5×	26	1.9k
Alexandra Keenan United States	9	1.1k 0.8×	211 0.8×	88 0.3×	262 1.1×	138 0.7×	13	1.7k
Megan L. Wojciechowicz United States	10	1.5k 1.0×	435 1.5×	181 0.7×	429 1.8×	227 1.2×	13	2.6k
Jasmin Coulombe‐Huntington Canada	17	2.2k 1.5×	169 0.6×	117 0.5×	233 1.0×	104 0.5×	28	2.7k

Countries citing papers authored by Dénes Türei

Since Specialization

Citations

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

Fields of papers citing papers by Dénes Türei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dénes Türei

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tsirvouli, Eirini, Dénes Türei, Emmanuel Barillot, et al.. (2025). NeKo: A tool for automatic network construction from prior knowledge. PLoS Computational Biology. 21(9). e1013300–e1013300. 1 indexed citations

Garrido‐Rodríguez, Martín, Muzamil Majid Khan, Dénes Türei, et al.. (2025). Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression. Molecular Systems Biology. 21(8). 1030–1065. 1 indexed citations

Dimitrov, Daniel, Christina Schmidt, Dénes Türei, et al.. (2024). MetalinksDB: a flexible and contextualizable resource of metabolite-protein interactions. Briefings in Bioinformatics. 25(4). 5 indexed citations

Müller‐Dott, Sophia, Eirini Tsirvouli, Miguél Vázquez, et al.. (2023). Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities. Nucleic Acids Research. 51(20). 10934–10949. 91 indexed citations

Treveil, Agatha, Dezső Módos, Matthew Madgwick, et al.. (2022). Mapping the epithelial–immune cell interactome upon infection in the gut and the upper airways. npj Systems Biology and Applications. 8(1). 15–15. 4 indexed citations

Dimitrov, Daniel, Dénes Türei, Martín Garrido‐Rodríguez, et al.. (2022). Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. Nature Communications. 13(1). 3224–3224. 237 indexed citations breakdown →

Utharala, Ramesh, Anna Luise Grab, Vida Vafaizadeh, et al.. (2022). A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets. Nature Protocols. 17(12). 2920–2965. 16 indexed citations

Türei, Dénes, Alberto Valdeolivas, Lejla Gul, et al.. (2021). Integrated intra‐ and intercellular signaling knowledge for multicellular omics analysis. Molecular Systems Biology. 17(3). e9923–e9923. 164 indexed citations

García‐Alonso, Luz, Christian H. Holland, Mahmoud M. Ibrahim, Dénes Türei, & Julio Sáez-Rodríguez. (2019). Benchmark and integration of resources for the estimation of human transcription factor activities. Genome Research. 29(8). 1363–1375. 483 indexed citations breakdown →

10.

Tang, Jing, Prson Gautam, Abhishekh Gupta, et al.. (2019). Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer. npj Systems Biology and Applications. 5(1). 20–20. 28 indexed citations

11.

Pellegrinelli, Vanessa, Vivian Peirce, Laura Howard, et al.. (2018). Adipocyte-secreted BMP8b mediates adrenergic-induced remodeling of the neuro-vascular network in adipose tissue. Nature Communications. 9(1). 4974–4974. 108 indexed citations

12.

Fazekas, Dávid, Dénes Türei, Balázs Horváth, et al.. (2016). SignaFish: A Zebrafish-Specific Signaling Pathway Resource. Zebrafish. 13(6). 541–544. 4 indexed citations

13.

Türei, Dénes, Tamás Korcsmáros, & Julio Sáez-Rodríguez. (2016). OmniPath: guidelines and gateway for literature-curated signaling pathway resources. Nature Methods. 13(12). 966–967. 386 indexed citations breakdown →

14.

Türei, Dénes, et al.. (2015). Targets of drugs are generally and targets of drugs having side effects are specifically good spreaders of human interactome perturbations. Scientific Reports. 5(1). 10182–10182. 21 indexed citations

15.

Türei, Dénes, László Földvári-Nagy, Dávid Fazekas, et al.. (2015). Autophagy Regulatory Network — A systems-level bioinformatics resource for studying the mechanism and regulation of autophagy. Autophagy. 11(1). 155–165. 74 indexed citations

16.

Chiapparino, Antonella, Kenji Maeda, Dénes Türei, Julio Sáez-Rodríguez, & Anne‐Claude Gavin. (2015). The orchestra of lipid-transfer proteins at the crossroads between metabolism and signaling. Progress in Lipid Research. 61. 30–39. 89 indexed citations

17.

Türei, Dénes, Diána Papp, Dávid Fazekas, et al.. (2013). NRF2-ome: An Integrated Web Resource to Discover Protein Interaction and Regulatory Networks of NRF2. Oxidative Medicine and Cellular Longevity. 2013. 1–9. 39 indexed citations

18.

Türei, Dénes, László Földvári-Nagy, Zsuzsanna A. Dunai, et al.. (2013). Complex regulation of autophagy in cancer – Integrated approaches to discover the networks that hold a double-edged sword. Seminars in Cancer Biology. 23(4). 252–261. 79 indexed citations

19.

Fazekas, Dávid, Mihály Koltai, Dénes Türei, et al.. (2013). SignaLink 2 – a signaling pathway resource with multi-layered regulatory networks. BMC Systems Biology. 7(1). 7–7. 144 indexed citations

20.

Papp, Diána, Katalin Lenti, Dezső Módos, et al.. (2012). The NRF2‐related interactome and regulome contain multifunctional proteins and fine‐tuned autoregulatory loops. FEBS Letters. 586(13). 1795–1802. 87 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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