Zoltán N. Oltvai

34.5k total citations · 9 hit papers
85 papers, 24.4k citations indexed

About

Zoltán N. Oltvai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zoltán N. Oltvai has authored 85 papers receiving a total of 24.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 20 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Zoltán N. Oltvai's work include Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (18 papers) and Gene Regulatory Network Analysis (15 papers). Zoltán N. Oltvai is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (18 papers) and Gene Regulatory Network Analysis (15 papers). Zoltán N. Oltvai collaborates with scholars based in United States, Japan and Hungary. Zoltán N. Oltvai's co-authors include Albert-Ĺaszló Barabási, Stanley J. Korsmeyer, Xiao-Ming Yin, Hawoong Jeong, Curt Milliman, David M. Hockenbery, Erzsébet Ravasz Regan, Alexei Vázquez, S J Korsmeyer and Deborah V. Novack and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zoltán N. Oltvai

82 papers receiving 23.7k citations

Hit Papers

5 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.

Network biology: understanding the cell's functional organization

2004 5.4k citations Albert-Ĺaszló Barabási, Zoltán N. Oltvai profile →
Lethality and centrality in protein networks

2001 3.7k citations Hawoong Jeong, Albert-Ĺaszló Barabási et al. profile →
Bcl-2 functions in an antioxidant pathway to prevent apoptosis

1993 3.0k citations Zoltán N. Oltvai et al. profile →
Hierarchical Organization of Modularity in Metabolic Networks

2002 2.9k citations Erzsébet Ravasz Regan, Zoltán N. Oltvai et al. Science profile →
BH1 and BH2 domains of Bcl-2 are required for inhibition of apoptosis and heterodimerization with Bax

1994 1.1k citations Zoltán N. Oltvai et al. profile →
Bcl-2/Bax: a rheostat that regulates an anti-oxidant pathway and cell death.

1993 756 citations Zoltán N. Oltvai et al. profile →
Multiple Bcl-2 family members demonstrate selective dimerizations with Bax.

1995 731 citations Zoltán N. Oltvai et al. Proceedings of the National Academy of Sciences profile →
Checkpoints of dueling dimers foil death wishes

1994 700 citations Zoltán N. Oltvai profile →
Bcl-2 Gene Family and the Regulation of Programmed Cell Death

1994 640 citations Zoltán N. Oltvai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zoltán N. Oltvai United States	41	17.4k	2.9k	2.4k	2.0k	1.9k	85	24.4k
Shalev Itzkovitz Israel	52	11.1k 0.6×	2.5k 0.9×	788 0.3×	1.6k 0.8×	2.1k 1.2×	106	20.4k
Stephen T. Smale United States	86	11.8k 0.7×	1.9k 0.6×	1.3k 0.5×	3.1k 1.6×	2.1k 1.1×	236	25.7k
Uri Alon Israel	74	24.5k 1.4×	4.0k 1.4×	1.8k 0.8×	854 0.4×	771 0.4×	232	35.5k
Daniel Ramage United States	20	21.9k 1.3×	820 0.3×	1.9k 0.8×	5.6k 2.8×	2.1k 1.2×	28	42.3k
Pierre Baldi United States	96	15.3k 0.9×	760 0.3×	2.8k 1.2×	895 0.5×	963 0.5×	428	34.1k
Marc Vidal United States	86	24.4k 1.4×	579 0.2×	3.2k 1.4×	1.5k 0.8×	3.0k 1.6×	199	31.0k
Eytan Domany Israel	68	8.2k 0.5×	1.6k 0.5×	755 0.3×	2.2k 1.1×	1.9k 1.0×	275	17.0k
Nir Friedman Israel	71	17.5k 1.0×	588 0.2×	1.4k 0.6×	1.2k 0.6×	514 0.3×	210	30.5k
Luonan Chen China	66	9.6k 0.6×	1.6k 0.5×	1.5k 0.6×	1.3k 0.6×	568 0.3×	507	15.3k
Stanley Fields United States	76	27.8k 1.6×	432 0.1×	1.7k 0.7×	956 0.5×	2.1k 1.1×	186	33.5k

Countries citing papers authored by Zoltán N. Oltvai

Since Specialization

Citations

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

Fields of papers citing papers by Zoltán N. Oltvai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán N. Oltvai

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán N. Oltvai. A scholar is included among the top collaborators of Zoltán N. Oltvai 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 N. Oltvai. Zoltán N. Oltvai 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

Oltvai, Zoltán N., et al.. (2025). A Modified FLT3 PCR Assay Using a TapeStation Readout. Genes. 16(6). 684–684.

Nkosi, Dingani, William Crowe, Brian J. Altman, et al.. (2024). SATB2 is an Emergent Biomarker of Anaplastic Thyroid Carcinoma: A Series with Comprehensive Biomarker and Molecular Studies. Endocrine Pathology. 35(4). 432–441. 1 indexed citations

Oltvai, Zoltán N., et al.. (2024). Nonlethal deleterious mutation–induced stress accelerates bacterial aging. Proceedings of the National Academy of Sciences. 121(20). e2316271121–e2316271121. 3 indexed citations

Oltvai, Zoltán N., et al.. (2024). Repurposing of the Cardiovascular Drug Statin for the Treatment of Cancers: Efficacy of Statin–Dipyridamole Combination Treatment in Melanoma Cell Lines. Biomedicines. 12(3). 698–698. 6 indexed citations

George, Giby V., Huijie Liu, Audrey N. Jajosky, & Zoltán N. Oltvai. (2024). Resolving Discrepancies in Idylla BRAF Mutational Assay Results Using Targeted Next-Generation Sequencing. Genes. 15(5). 527–527.

Nkosi, Dingani, et al.. (2023). Efficient Lung Cancer Molecular Diagnostics by Combining Next Generation Sequencing with Reflex Idylla Genefusion Assay Testing. Genes. 14(8). 1551–1551. 2 indexed citations

Warita, Katsuhiko, et al.. (2023). Expression of housekeeping genes varies depending on mevalonate pathway inhibition in cancer cells. Heliyon. 9(7). e18017–e18017. 3 indexed citations

Nkosi, Dingani, et al.. (2022). Incidental discovery of acute myeloid leukemia during liquid biopsy of a lung cancer patient. Molecular Case Studies. 8(4). a006201–a006201. 4 indexed citations

Nkosi, Dingani, et al.. (2022). Utility of Select Gene Mutation Detection in Tumors by the Idylla Rapid Multiplex PCR Platform in Comparison to Next-Generation Sequencing. Genes. 13(5). 799–799. 6 indexed citations

10.

Ponzoni, Luca, et al.. (2020). Rhapsody: predicting the pathogenicity of human missense variants. Bioinformatics. 36(10). 3084–3092. 57 indexed citations

11.

Rashid, Sabrina Mohd, Zhicheng Long, Shashank Singh, et al.. (2019). Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains. Proceedings of the National Academy of Sciences. 116(24). 11770–11775. 14 indexed citations

12.

Beckwitt, Colin H., Adam Brufsky, Zoltán N. Oltvai, & Alan Wells. (2018). Statin drugs to reduce breast cancer recurrence and mortality. Breast Cancer Research. 20(1). 144–144. 145 indexed citations

13.

Dolfi, Sonia, Leo Li‐Ying Chan, Jean Qiu, et al.. (2013). The metabolic demands of cancer cells are coupled to their size and protein synthesis rates. Cancer & Metabolism. 1(1). 20–20. 147 indexed citations

14.

Shen, Yihui, Guillermina Estiú, Basak Isin, et al.. (2010). Blueprint for antimicrobial hit discovery targeting metabolic networks. Proceedings of the National Academy of Sciences. 107(3). 1082–1087. 87 indexed citations

15.

Lee, Deok‐Sun, Zoltán N. Oltvai, Nicholas A. Christakis, & Albert-Ĺaszló Barabási. (2008). Metabolic disease network and its implication for disease comorbidity. Bulletin of the American Physical Society. 138(2). 202–4. 1 indexed citations

16.

Vázquez, Alexei, Márcio Argollo de Menezes, Albert-Ĺaszló Barabási, & Zoltán N. Oltvai. (2008). Impact of Limited Solvent Capacity on Metabolic Rate, Enzyme Activities, and Metabolite Concentrations of S. cerevisiae Glycolysis. PLoS Computational Biology. 4(10). e1000195–e1000195. 15 indexed citations

17.

Balázsi, Gábor, Albert-Ĺaszló Barabási, & Zoltán N. Oltvai. (2005). Topological units of environmental signal processing in the transcriptional-regulatory network of Escherichia coli. Bulletin of the American Physical Society. 8 indexed citations

18.

Almaas, Eivind, et al.. (2004). Global organization of metabolic fluxes. APS. 2004. 1 indexed citations

19.

Regan, Erzsébet Ravasz, et al.. (2002). Hierarchical Organization of Modularity in Metabolic Networks. Science. 297(5586). 1551–1555. 2858 indexed citations breakdown →

20.

Podani, János, et al.. (2001). Comparable system-level organization of Archaea and Eukaryotes. Nature Genetics. 29(1). 54–56. 57 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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