Sabine Hug

736 total citations
10 papers, 448 citations indexed

About

Sabine Hug is a scholar working on Molecular Biology, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Sabine Hug has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Control and Systems Engineering and 3 papers in Statistics and Probability. Recurrent topics in Sabine Hug's work include Gene Regulatory Network Analysis (5 papers), Probabilistic and Robust Engineering Design (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Sabine Hug is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Probabilistic and Robust Engineering Design (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Sabine Hug collaborates with scholars based in Germany, United States and Sweden. Sabine Hug's co-authors include Fabian J. Theis, Andreas Raue, Jens Timmer, Ursula Klingmüller, Jan Hasenauer, Marcel Schilling, Clemens Kreutz, Daniel Kaschek, Julie Bachmann and Andrew Matteson and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Sabine Hug

10 papers receiving 438 citations

Peers

Sabine Hug

MB

AI

SP

GENET

SPU

Christian Tönsing Germany

Daniel Kaschek Germany

Michał Komorowski Poland

Fabian Fröhlich Germany

Gabriele Lillacci United States

Helge Hass Germany

Marcus Rosenblatt Germany

Rainer Opgen-Rhein Germany

Andrew Matteson United States

L. D’Angiò Italy

Christian Tönsing Germany

Sabine Hug

215 ×0.7

MB

27 ×0.5

AI

15 ×0.3

SP

35 ×0.9

GENET

26 ×0.7

SPU

Citations per year, relative to Sabine Hug Sabine Hug (= 1×) peers Christian Tönsing

Countries citing papers authored by Sabine Hug

Since Specialization

Citations

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

Fields of papers citing papers by Sabine Hug

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Hug

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

All Works

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10 of 10 papers shown

1.

Raimúndez, Elba, Simone Keller, Sabine Hug, et al.. (2020). Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. PLoS Computational Biology. 16(3). e1007147–e1007147. 7 indexed citations

2.

Hug, Sabine, et al.. (2017). Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems. BMC Systems Biology. 11(1). 63–63. 31 indexed citations

3.

Stapor, Paul, Daniel Weindl, Sabine Hug, et al.. (2017). PESTO: Parameter EStimation TOolbox. Bioinformatics. 34(4). 705–707. 62 indexed citations

4.

Hug, Sabine, Michael Schwarzfischer, Jan Hasenauer, Carsten Marr, & Fabian J. Theis. (2015). An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule. Statistics and Computing. 26(3). 663–677. 12 indexed citations

5.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Correction: Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(12). 22 indexed citations

6.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(9). e74335–e74335. 226 indexed citations

7.

Hug, Sabine, Andreas Raue, Jan Hasenauer, et al.. (2013). High-dimensional Bayesian parameter estimation: Case study for a model of JAK2/STAT5 signaling. Mathematical Biosciences. 246(2). 293–304. 46 indexed citations

8.

Vehlow, Corinna, Jan Hasenauer, Andreas Raue, et al.. (2013). iVUN: interactive Visualization of Uncertain biochemical reaction Networks. BMC Bioinformatics. 14(S19). S2–S2. 7 indexed citations

9.

Czado, Claudia, et al.. (2013). A Vine-copula Based Adaptive MCMC Sampler for Efficient Inference of Dynamical Systems. Bayesian Analysis. 8(1). 19 indexed citations

10.

Schmidl, Doreen, Sabine Hug, Wei Bo Li, Matthias Greiter, & Fabian J. Theis. (2012). Bayesian model selection validates a biokinetic model for zirconium processing in humans. BMC Systems Biology. 6(1). 95–95. 16 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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