Verena Wolf

2.3k total citations
56 papers, 859 citations indexed

About

Verena Wolf is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Verena Wolf has authored 56 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Verena Wolf's work include Gene Regulatory Network Analysis (28 papers), Microbial Metabolic Engineering and Bioproduction (13 papers) and Bioinformatics and Genomic Networks (7 papers). Verena Wolf is often cited by papers focused on Gene Regulatory Network Analysis (28 papers), Microbial Metabolic Engineering and Bioproduction (13 papers) and Bioinformatics and Genomic Networks (7 papers). Verena Wolf collaborates with scholars based in Germany, Austria and Switzerland. Verena Wolf's co-authors include David Spieler, Thomas A. Henzinger, Maria Mateescu, Jörn Walter, Alexander Meissner, Julia Arand, Heinrich Leonhardt, Tommy Karius, Daniela Meilinger and Thomas Jenuwein and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLoS Genetics.

In The Last Decade

Verena Wolf

55 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Verena Wolf Germany	14	573	170	158	90	71	56	859
Luca Bortolussi Italy	13	207 0.4×	252 1.5×	15 0.1×	157 1.7×	59 0.8×	91	622
Federica Ciocchetta United Kingdom	9	259 0.5×	141 0.8×	31 0.2×	42 0.5×	45 0.6×	21	379
Roberto Barbuti Italy	17	375 0.7×	339 2.0×	68 0.4×	286 3.2×	22 0.3×	83	828
Grégory Batt France	18	891 1.6×	113 0.7×	188 1.2×	52 0.6×	20 0.3×	38	1.2k
Andrew Finney United States	12	1.1k 1.9×	101 0.6×	58 0.4×	50 0.6×	33 0.5×	18	1.3k
Sylvain Soliman France	13	421 0.7×	127 0.7×	22 0.1×	82 0.9×	20 0.3×	44	589
Nicolás Rodríguez United Kingdom	14	918 1.6×	82 0.5×	52 0.3×	47 0.5×	30 0.4×	29	1.1k
Geoffrey Yeo Australia	15	218 0.4×	16 0.1×	22 0.1×	56 0.6×	92 1.3×	64	676
Jean Krivine France	9	269 0.5×	103 0.6×	19 0.1×	67 0.7×	24 0.3×	20	410
Ralf Hofestädt Germany	14	536 0.9×	100 0.6×	47 0.3×	82 0.9×	26 0.4×	98	799

Countries citing papers authored by Verena Wolf

Since Specialization

Citations

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

Fields of papers citing papers by Verena Wolf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Wolf

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

All Works

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20 of 20 papers shown

Wolf, Verena, et al.. (2024). Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on Kinases. Journal of Chemical Information and Modeling. 64(10). 4009–4020. 9 indexed citations

Wolf, Verena, et al.. (2024). Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17852–17864. 1 indexed citations

Wolf, Verena, et al.. (2023). Unsupervised relational inference using masked reconstruction. Applied Network Science. 8(1). 1 indexed citations

Höller, Daniel, et al.. (2023). DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning – Extended Version. ACM Transactions on Modeling and Computer Simulation. 33(4). 1–28. 1 indexed citations

Wolf, Verena, et al.. (2021). Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics. PLoS ONE. 16(7). e0250050–e0250050. 30 indexed citations

Bortolussi, Luca, et al.. (2020). Efficient simulation of non-Markovian dynamics on complex networks. PLoS ONE. 15(10). e0241394–e0241394. 2 indexed citations

Weinzierl, Sven, et al.. (2020). Detecting Workarounds in Business Processes — A Deep Learning Method for Analyzing Event Logs. Journal of the Association for Information Systems. 1 indexed citations

Kurasov, Pavel, et al.. (2018). Stochastic Hybrid Models of Gene Regulatory Networks. arXiv (Cornell University). 1 indexed citations

Sandmann, Werner, et al.. (2018). Approximate adaptive uniformization of continuous-time Markov chains. Applied Mathematical Modelling. 61. 561–576. 4 indexed citations

10.

Wolf, Verena, et al.. (2018). Lumping of degree-based mean-field and pair-approximation equations for multistate contact processes. Physical review. E. 97(1). 12301–12301. 3 indexed citations

11.

Crouzen, Pepijn, et al.. (2016). On-the-fly Uniformization of Time-Inhomogeneous Infinite Markov Population Models. 5 indexed citations

12.

Giehr, Pascal, et al.. (2016). The Influence of Hydroxylation on Maintaining CpG Methylation Patterns: A Hidden Markov Model Approach. PLoS Computational Biology. 12(5). e1004905–e1004905. 15 indexed citations

13.

Hasenauer, Jan, et al.. (2013). Method of conditional moments (MCM) for the Chemical Master Equation. Journal of Mathematical Biology. 69(3). 687–735. 53 indexed citations

14.

Katoen, Joost-Pieter, et al.. (2012). Three-valued abstraction for probabilistic systems. The Journal of Logic and Algebraic Programming. 81(4). 356–389. 19 indexed citations

15.

Dayar, Tuǧrul, Werner Sandmann, David Spieler, & Verena Wolf. (2011). Infinite level-dependent QBD processes and matrix-analytic solutions for stochastic chemical kinetics. Advances in Applied Probability. 43(4). 1005–1026. 27 indexed citations

16.

Wolf, Verena, et al.. (2010). Solving the chemical master equation using sliding windows. BMC Systems Biology. 4(1). 42–42. 53 indexed citations

17.

Baier, Christel, Holger Hermanns, Joost-Pieter Katoen, & Verena Wolf. (2008). Comparative Branching-Time Semantics for Markov Chains (Extended Abstract).

18.

Majster-Cederbaum, Mila, et al.. (2007). Interaction Models for Biochemical Reactions. 480–486. 1 indexed citations

19.

Fecher, Harald, Martin Leucker, Verena Wolf, & Antti Valmari. (2005). \emph{Don't know} in probabilistic systems. 3925. 1 indexed citations

20.

Baier, Christel, Holger Hermanns, Joost-Pieter Katoen, & Verena Wolf. (2003). Comparative Branching-Time Semantics.. 482–497. 2 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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