Sylvain Soliman

2.3k total citations
44 papers, 589 citations indexed

About

Sylvain Soliman is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Sylvain Soliman has authored 44 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sylvain Soliman's work include Gene Regulatory Network Analysis (23 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and Bioinformatics and Genomic Networks (15 papers). Sylvain Soliman is often cited by papers focused on Gene Regulatory Network Analysis (23 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and Bioinformatics and Genomic Networks (15 papers). Sylvain Soliman collaborates with scholars based in France, United States and Germany. Sylvain Soliman's co-authors include François Fages, Laurence Calzone, Aurélien Rizk, Grégory Batt, Anna Niarakis, Monika Heiner, Paul Ruet, Aurélien Naldi, Vidisha Singh and Tomáš Helikar and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Theoretical Biology.

In The Last Decade

Sylvain Soliman

39 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Soliman France 13 421 127 82 36 31 44 589
Loïc Paulevé France 10 331 0.8× 65 0.5× 66 0.8× 27 0.8× 10 0.3× 41 595
Kenneth Daily United States 10 318 0.8× 43 0.3× 60 0.7× 17 0.5× 49 1.6× 14 507
Ralf Hofestädt Germany 14 536 1.3× 100 0.8× 82 1.0× 38 1.1× 32 1.0× 98 799
Manuel Barrio-Solórzano Spain 6 231 0.5× 30 0.2× 19 0.2× 19 0.5× 11 0.4× 12 290
Grégory Batt France 18 891 2.1× 113 0.9× 52 0.6× 22 0.6× 67 2.2× 38 1.2k
Sarah Keating United Kingdom 14 1.0k 2.4× 102 0.8× 33 0.4× 8 0.2× 25 0.8× 27 1.2k
Ion Petre Finland 15 457 1.1× 186 1.5× 99 1.2× 18 0.5× 22 0.7× 73 586
Verena Wolf Germany 14 573 1.4× 170 1.3× 90 1.1× 38 1.1× 19 0.6× 56 859
Sean A. Irvine United Kingdom 7 268 0.6× 140 1.1× 105 1.3× 59 1.6× 26 0.8× 13 539

Countries citing papers authored by Sylvain Soliman

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Soliman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Soliman

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Soliman. A scholar is included among the top collaborators of Sylvain Soliman 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 Sylvain Soliman. Sylvain Soliman 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.
Benhamou, Belaïd, et al.. (2024). Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10714–10722.
2.
Niarakis, Anna, et al.. (2024). MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 21(1).
3.
Benhamou, Belaïd, et al.. (2023). Trap spaces of Boolean networks are conflict-free siphons of their Petri net encoding. Theoretical Computer Science. 971. 114073–114073. 4 indexed citations
4.
Singh, Vidisha, Aurélien Naldi, Sylvain Soliman, & Anna Niarakis. (2023). A large-scale Boolean model of the rheumatoid arthritis fibroblast-like synoviocytes predicts drug synergies in the arthritic joint. npj Systems Biology and Applications. 9(1). 33–33. 12 indexed citations
5.
Soliman, Sylvain, et al.. (2023). Hybrid computational modeling highlights reverse warburg effect in breast cancer-associated fibroblasts. Computational and Structural Biotechnology Journal. 21. 4196–4206. 6 indexed citations
6.
Soliman, Sylvain, et al.. (2022). Metabolic reprogramming in Rheumatoid Arthritis Synovial Fibroblasts: A hybrid modeling approach. PLoS Computational Biology. 18(12). e1010408–e1010408. 12 indexed citations
7.
Niarakis, Anna, Martin Kuiper, Marek Ostaszewski, et al.. (2020). Setting the basis of best practices and standards for curation and annotation of logical models in biology—highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop. Briefings in Bioinformatics. 22(2). 1848–1859. 13 indexed citations
8.
Fages, François, et al.. (2018). Graphical requirements for multistationarity in reaction networks and their verification in BioModels. Journal of Theoretical Biology. 459. 79–89. 3 indexed citations
9.
Traynard, Pauline, Céline Feillet, Sylvain Soliman, Franck Delaunay, & François Fages. (2016). Model-based investigation of the circadian clock and cell cycle coupling in mouse embryonic fibroblasts: Prediction of RevErb-α up-regulation during mitosis. Biosystems. 149. 59–69. 9 indexed citations
10.
Fages, François, et al.. (2014). Inferring reaction systems from ordinary differential equations. Theoretical Computer Science. 599. 64–78. 23 indexed citations
11.
Soliman, Sylvain. (2013). A Stronger Necessary Condition for the Multistationarity of Chemical Reaction Networks. Bulletin of Mathematical Biology. 75(11). 2289–2303. 7 indexed citations
12.
Soliman, Sylvain. (2012). Invariants and Other Structural Properties of Biochemical Models as a Constraint Satisfaction Problem. Algorithms for Molecular Biology. 7(1). 15–15. 12 indexed citations
13.
Rizk, Aurélien, Grégory Batt, François Fages, & Sylvain Soliman. (2010). Continuous valuations of temporal logic specifications with applications to parameter optimization and robustness measures. Theoretical Computer Science. 412(26). 2827–2839. 25 indexed citations
15.
Soliman, Sylvain. (2008). Finding minimal P/T-invariants as a CSP. BMJ Open. 11(12). e047018–e047018. 2 indexed citations
16.
Fages, François, Francesca Rossi, & Sylvain Soliman. (2008). Recent Advances in Constraints: 12th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2007 Rocquencourt, France, June 7-8, 2007 Revised Selected Papers. Springer eBooks. 2 indexed citations
17.
Fages, François & Sylvain Soliman. (2008). Abstract interpretation and types for systems biology. Theoretical Computer Science. 403(1). 52–70. 26 indexed citations
18.
Calzone, Laurence, et al.. (2005). Machine Learning Bio-molecular Interactions from Temporal Logic Properties. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
19.
Soliman, Sylvain & François Fages. (2004). La programmation par contraintes. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Fages, François, Paul Ruet, & Sylvain Soliman. (2001). Linear Concurrent Constraint Programming: Operational and Phase Semantics. Information and Computation. 165(1). 14–41. 31 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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