Zoltán Dezső

6.4k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Zoltán Dezső is a scholar working on Molecular Biology, Cancer Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Zoltán Dezső has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Zoltán Dezső's work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (5 papers) and Complex Network Analysis Techniques (5 papers). Zoltán Dezső is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (5 papers) and Complex Network Analysis Techniques (5 papers). Zoltán Dezső collaborates with scholars based in United States, Japan and Russia. Zoltán Dezső's co-authors include Albert-Ĺaszló Barabási, Alexei Vázquez, J. G. Oliveira, Imre Kondor, K.-I. Goh, Sergei Agoulnik, Yoshiya Oda, Tatiana Nikolskaya, Yuri Nikolsky and Zoltán N. Oltvai and has published in prestigious journals such as The Journal of Experimental Medicine, Bioinformatics and PLoS ONE.

In The Last Decade

Zoltán Dezső

24 papers receiving 1.9k citations

Hit Papers

Modeling bursts and heavy... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoltán Dezső United States 14 782 713 297 160 146 28 2.0k
Shai Carmi Israel 27 735 0.9× 914 1.3× 101 0.3× 189 1.2× 60 0.4× 90 2.8k
Michael T. Schaub Germany 23 605 0.8× 1.3k 1.8× 256 0.9× 163 1.0× 35 0.2× 64 2.5k
Ala Trusina Denmark 22 440 0.6× 1.6k 2.3× 91 0.3× 81 0.5× 38 0.3× 52 3.1k
Erzsébet Ravasz Regan United States 22 2.1k 2.7× 2.7k 3.8× 250 0.8× 547 3.4× 227 1.6× 32 5.6k
Xin‐Jian Xu China 26 837 1.1× 349 0.5× 158 0.5× 207 1.3× 39 0.3× 125 2.3k
Adriano Barra Italy 26 414 0.5× 747 1.0× 77 0.3× 58 0.4× 122 0.8× 98 2.2k
Michal Rosen‐Zvi Israel 19 433 0.6× 281 0.4× 53 0.2× 73 0.5× 33 0.2× 56 2.8k
Shmoolik Mangan Israel 6 582 0.7× 3.5k 4.9× 132 0.4× 101 0.6× 33 0.2× 6 4.2k
Gábor Szabó United States 15 1.7k 2.2× 647 0.9× 33 0.1× 500 3.1× 86 0.6× 35 3.2k
Duygu Ucar United States 25 321 0.4× 1.9k 2.6× 219 0.7× 105 0.7× 14 0.1× 55 3.1k

Countries citing papers authored by Zoltán Dezső

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Dezső

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Dezső

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Dezső. A scholar is included among the top collaborators of Zoltán Dezső 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 Zoltán Dezső. Zoltán Dezső 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.
Shi, Xu, Christos Gekas, Sakina Petiwala, et al.. (2024). Building a translational cancer dependency map for The Cancer Genome Atlas. Nature Cancer. 5(8). 1176–1194. 6 indexed citations
2.
Riley‐Gillis, Bridget, Shirng‐Wern Tsaih, Emily A. King, et al.. (2023). Machine learning reveals genetic modifiers of the immune microenvironment of cancer. iScience. 26(9). 107576–107576.
3.
Smith, Laura E., Zoltán Dezső, Xu Shi, et al.. (2021). VISTA is an activating receptor in human monocytes. The Journal of Experimental Medicine. 218(8). 25 indexed citations
4.
Dezső, Zoltán & Michele Ceccarelli. (2020). Machine learning prediction of oncology drug targets based on protein and network properties. BMC Bioinformatics. 21(1). 104–104. 35 indexed citations
5.
Dezső, Zoltán, et al.. (2020). Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets. Bioinformatics. 37(10). 1420–1427. 2 indexed citations
6.
Albu, Diana I., David Verbel, Yuan Huang, et al.. (2017). Abstract 4607: Specific inhibition of PGE2-EP4 signaling by E7046 promotes anti-tumor activity of checkpoint blockade agents through boosting cytotoxic T cell activity. Cancer Research. 77(13_Supplement). 4607–4607. 1 indexed citations
7.
Matsuki, Masahiro, Kiyoshi Okamoto, Zoltán Dezső, et al.. (2016). Abstract 3266: Antitumor activity of a combination of lenvatinib mesilate, ifosfamide, and etoposide against human pediatric osteosarcoma cell lines. Cancer Research. 76(14_Supplement). 3266–3266.
8.
McGonigle, Sharon, Jiayi Wu, Donna Kolber‐Simonds, et al.. (2015). Abstract P5-06-03: Combination of the PARP inhibitor E7449 with eribulin +/- carboplatin in preclinical models of triple negative breast cancer. Cancer Research. 75(9_Supplement). P5–6. 1 indexed citations
9.
Dezső, Zoltán, Judith Oestreicher, Stephanie Santiago, et al.. (2014). Gene Expression Profiling Reveals Epithelial Mesenchymal Transition (EMT) Genes Can Selectively Differentiate Eribulin Sensitive Breast Cancer Cells. PLoS ONE. 9(8). e106131–e106131. 50 indexed citations
10.
Kumar, Pavan, Zoltán Dezső, Crystal MacKenzie, et al.. (2013). Circulating miRNA Biomarkers for Alzheimer's Disease. PLoS ONE. 8(7). e69807–e69807. 306 indexed citations
11.
Kumar, Pavan, Zoltán Dezső, Crystal MacKenzie, et al.. (2013). P1–234: Circulating miRNA biomarkers for Alzheimer's disease. Alzheimer s & Dementia. 9(4S_Part_6). 1 indexed citations
12.
Dezső, Zoltán, et al.. (2010). ExtSim: A Flexible Data Mapping and Synchronization Middleware for Scientific Visualization in Virtual Worlds. Journal of Virtual Worlds Research. 2(5). 1 indexed citations
13.
Vellaichamy, Adaikkalam, Zoltán Dezső, Lellean JeBailey, et al.. (2010). “Topological Significance” Analysis of Gene Expression and Proteomic Profiles from Prostate Cancer Cells Reveals Key Mechanisms of Androgen Response. PLoS ONE. 5(6). e10936–e10936. 27 indexed citations
14.
Nikolskaya, Tatiana, Yuri Nikolsky, Tatiana Serebryiskaya, et al.. (2009). Network analysis of human glaucomatous optic nerve head astrocytes. BMC Medical Genomics. 2(1). 24–24. 43 indexed citations
15.
Nikolsky, Yuri, Jun Yao, Damir Dosymbekov, et al.. (2008). Genome-Wide Functional Synergy between Amplified and Mutated Genes in Human Breast Cancer. Cancer Research. 68(22). 9532–9540. 69 indexed citations
16.
Vázquez, Alexei, J. G. Oliveira, Zoltán Dezső, et al.. (2006). Modeling bursts and heavy tails in human dynamics. Physical Review E. 73(3). 36127–36127. 465 indexed citations breakdown →
17.
Dezső, Zoltán, et al.. (2006). Dynamics of information access on the web. Physical Review E. 73(6). 66132–66132. 178 indexed citations
18.
Dezső, Zoltán, et al.. (2005). The Dynamics of Information Access in the Online Media. Bulletin of the American Physical Society. 1 indexed citations
19.
Dezső, Zoltán & Albert-Ĺaszló Barabási. (2002). Halting viruses in scale-free networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(5). 55103–55103. 414 indexed citations
20.
Dezső, Zoltán & Albert-Ĺaszló Barabási. (2001). Can we stop the AIDS epidemic. arXiv (Cornell University). 4 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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