Ovidiu Radulescu

3.2k total citations
87 papers, 1.9k citations indexed

About

Ovidiu Radulescu is a scholar working on Molecular Biology, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Ovidiu Radulescu has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 15 papers in Materials Chemistry and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Ovidiu Radulescu's work include Gene Regulatory Network Analysis (37 papers), Bioinformatics and Genomic Networks (19 papers) and Microbial Metabolic Engineering and Bioproduction (14 papers). Ovidiu Radulescu is often cited by papers focused on Gene Regulatory Network Analysis (37 papers), Bioinformatics and Genomic Networks (19 papers) and Microbial Metabolic Engineering and Bioproduction (14 papers). Ovidiu Radulescu collaborates with scholars based in France, United Kingdom and Germany. Ovidiu Radulescu's co-authors include Peter D. Olmsted, C.-Y. D. Lu, Alexander N. Gorban, John Reinitz, Andreï Zinovyev, Τ. Janssen, Svetlana Surkova, Ahram Kim, Vitaly V. Gursky and Carlos E. Vanario‐Alonso and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Ovidiu Radulescu

84 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ovidiu Radulescu France 21 1.1k 309 253 226 192 87 1.9k
Alexander V. Vologodskii Russia 35 3.4k 3.0× 207 0.7× 87 0.3× 381 1.7× 126 0.7× 64 4.2k
Alexander Lemak Canada 22 2.2k 2.0× 645 2.1× 38 0.2× 210 0.9× 67 0.3× 47 2.8k
Alexander Vologodskii United States 27 2.1k 1.8× 145 0.5× 45 0.2× 181 0.8× 66 0.3× 50 2.4k
Kenneth C. Millett United States 24 820 0.7× 262 0.8× 51 0.2× 149 0.7× 89 0.5× 70 2.5k
M. D. Frank-Kamenet︠s︡kiĭ Russia 40 3.5k 3.1× 238 0.8× 59 0.2× 263 1.2× 192 1.0× 82 4.3k
Omar A. Saleh United States 33 1.6k 1.4× 266 0.9× 49 0.2× 309 1.4× 56 0.3× 99 3.2k
Laura Finzi United States 23 2.1k 1.8× 181 0.6× 85 0.3× 340 1.5× 40 0.2× 71 3.1k
Cécile Fradin Canada 26 1.6k 1.4× 371 1.2× 28 0.1× 80 0.4× 110 0.6× 68 2.7k
Oleg Krichevsky Israel 21 1.5k 1.4× 330 1.1× 35 0.1× 102 0.5× 127 0.7× 38 2.8k
Cyrill B. Muratov United States 26 458 0.4× 256 0.8× 44 0.2× 105 0.5× 34 0.2× 93 2.0k

Countries citing papers authored by Ovidiu Radulescu

Since Specialization
Citations

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

Fields of papers citing papers by Ovidiu Radulescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ovidiu Radulescu

This figure shows the co-authorship network connecting the top 25 collaborators of Ovidiu Radulescu. A scholar is included among the top collaborators of Ovidiu Radulescu 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 Ovidiu Radulescu. Ovidiu Radulescu 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.
Trullo, Antonio, et al.. (2025). Optogenetic manipulation of nuclear Dorsal reveals temporal requirements and consequences for transcription. Development. 152(6). 1 indexed citations
2.
3.
Vendrell, Julie A., Jérôme Solassol, Baptiste Louveau, et al.. (2025). MelanoDB: A dataset of clinical and molecular features of patients with advanced melanoma treated with MAPK inhibitors. Scientific Data. 12(1). 1144–1144. 2 indexed citations
4.
D’Hondt, Véronique, Jérôme Solassol, O. Dereure, et al.. (2025). Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning. npj Precision Oncology. 9(1). 231–231. 1 indexed citations
5.
Esnault, Cyril, Amal Zine El Aabidine, Marie-Cécile Robert, et al.. (2025). G-quadruplexes are promoter elements controlling nucleosome exclusion and RNA polymerase II pausing. Nature Genetics. 57(8). 1981–1993. 1 indexed citations
6.
Lacroix, Matthieu, Pierre‐François Dupré, Béatrice Orsetti, et al.. (2024). Deciphering oxygen distribution and hypoxia profiles in the tumor microenvironment: a data-driven mechanistic modeling approach. Physics in Medicine and Biology. 69(12). 125023–125023. 1 indexed citations
7.
Lagha, Mounia, et al.. (2023). BurstDECONV: a signal deconvolution method to uncover mechanisms of transcriptional bursting in live cells. Nucleic Acids Research. 51(16). e88–e88. 12 indexed citations
8.
Fages, François, et al.. (2023). A skin microbiome model with AMP interactions and analysis of quasi-stability vs stability in population dynamics. Theoretical Computer Science. 983. 114294–114294. 2 indexed citations
9.
Bellec, Maëlle, Jérémy Dufourt, Antonio Trullo, et al.. (2022). The control of transcriptional memory by stable mitotic bookmarking. Nature Communications. 13(1). 1176–1176. 37 indexed citations
10.
Mangé, Alain, et al.. (2022). La résistance aux inhibiteurs de BRAF. médecine/sciences. 38(6-7). 570–578. 1 indexed citations
11.
Robert, Marie-Cécile, Nikolay Tsanov, Thierry Gostan, et al.. (2021). Stochastic pausing at latent HIV-1 promoters generates transcriptional bursting. Nature Communications. 12(1). 4503–4503. 48 indexed citations
12.
Naldi, Aurélien, Gilles Freiss, Marcel Deckert, et al.. (2021). Comparison of SYK Signaling Networks Reveals the Potential Molecular Determinants of Its Tumor-Promoting and Suppressing Functions. Biomolecules. 11(2). 308–308. 3 indexed citations
13.
Naldi, Aurélien, Romain M. Larive, Urszula Czerwińska, et al.. (2017). Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells. PLoS Computational Biology. 13(3). e1005432–e1005432. 13 indexed citations
14.
Radulescu, Ovidiu, et al.. (2014). A Tropical Method based on Newton Polygon Approach for Algebraic Analysis of Biochemical Reaction Networks. 1 indexed citations
15.
Debussche, Arnaud, et al.. (2012). Convergence of stochastic gene networks to hybrid piecewise deterministic processes. The Annals of Applied Probability. 22(5). 46 indexed citations
16.
Debussche, Arnaud, et al.. (2009). Hybrid stochastic simplifications for multiscale gene networks. BMC Systems Biology. 3(1). 89–89. 52 indexed citations
17.
Veber, Philippe, Carito Guziołowski, Michel Le Borgne, Ovidiu Radulescu, & Anne Siegel. (2008). Inferring the role of transcription factors in regulatory networks. BMC Bioinformatics. 9(1). 228–228. 12 indexed citations
18.
Radulescu, Ovidiu, Alexander N. Gorban, Andreï Zinovyev, & Alain Lilienbaum. (2008). Robust simplifications of multiscale biochemical networks. BMC Systems Biology. 2(1). 86–86. 64 indexed citations
19.
Lavelle, Christophe, Hugues Berry, Guillaume Beslon, et al.. (2008). From Molecules to Organisms: Towards Multiscale Integrated Models of Biological Systems. SPIRE - Sciences Po Institutional REpository. 1(1). 13–22. 14 indexed citations
20.
Veber, Philippe, Michel Le Borgne, Anne Siegel, Sandrine Lagarrigue, & Ovidiu Radulescu. (2004). Complex Qualitative Models in Biology: A New Approach. 2(3-4). 140–151. 14 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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