Helge Hass

702 total citations
11 papers, 403 citations indexed

About

Helge Hass is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Helge Hass has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Helge Hass's work include Gene Regulatory Network Analysis (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Protein Structure and Dynamics (2 papers). Helge Hass is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Protein Structure and Dynamics (2 papers). Helge Hass collaborates with scholars based in Germany, United States and Russia. Helge Hass's co-authors include Jens Timmer, Clemens Kreutz, Andreas Raue, Jan Hasenauer, Bernhard Steiert, Joep Vanlier, Tim Maiwald, Raphael Engesser, Daniel Kaschek and Carolin Loos and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Helge Hass

11 papers receiving 395 citations

Peers

Helge Hass

MB

ONCOL

CTM

GENET

MS

Christian Tönsing Germany

Andrew Matteson United States

Sabine Hug Germany

Marcus Rosenblatt Germany

Lorenz Adlung Germany

Max Schelker Germany

Elba Raimúndez Germany

Leonard Schmiester Germany

Sean T. Vittadello Australia

Theodore R. Rieger United States

Christian Tönsing Germany

Helge Hass

215 ×0.8

MB

28 ×0.8

ONCOL

33 ×0.9

CTM

35 ×1.0

GENET

46 ×1.5

MS

Citations per year, relative to Helge Hass Helge Hass (= 1×) peers Christian Tönsing

Countries citing papers authored by Helge Hass

Since Specialization

Citations

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

Fields of papers citing papers by Helge Hass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helge Hass

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

All Works

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11 of 11 papers shown

1.

Rosenblatt, Marcus, et al.. (2023). Activator-blocker model of transcriptional regulation by pioneer-like factors. Nature Communications. 14(1). 5677–5677. 10 indexed citations

2.

Rosenblatt, Marcus, Helge Hass, Lev Y. Yampolsky, et al.. (2022). Pluripotency factors determine gene expression repertoire at zygotic genome activation. Nature Communications. 13(1). 788–788. 12 indexed citations

3.

Hass, Helge, Carolin Loos, Elba Raimúndez, et al.. (2019). Benchmark problems for dynamic modeling of intracellular processes. Bioinformatics. 35(17). 3073–3082. 51 indexed citations

4.

Hass, Helge, et al.. (2019). Extensions of ℓ1 regularization increase detection specificity for cell-type specific parameters in dynamic models. BMC Bioinformatics. 20(1). 395–395. 7 indexed citations

5.

Hass, Helge, Aziz Gauhar, Elisabeth Bouché, et al.. (2017). Mathematical model of early Reelin-induced Src family kinase-mediated signaling. PLoS ONE. 12(10). e0186927–e0186927. 9 indexed citations

6.

Hass, Helge, Kristina Masson, Violette Paragas, et al.. (2017). Predicting ligand-dependent tumors from multi-dimensional signaling features. npj Systems Biology and Applications. 3(1). 27–27. 31 indexed citations

7.

Steiert, Bernhard, Sofia Depner, Andreas Raue, et al.. (2016). Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells. PLoS Computational Biology. 12(8). e1005049–e1005049. 30 indexed citations

8.

Maiwald, Tim, Helge Hass, Bernhard Steiert, et al.. (2016). Driving the Model to Its Limit: Profile Likelihood Based Model Reduction. PLoS ONE. 11(9). e0162366–e0162366. 68 indexed citations

9.

Hass, Helge, et al.. (2016). Quantification of oxygen metabolic rates in Human brain with dynamic ¹⁷O MRI: Profile likelihood analysis. Magnetic Resonance in Medicine. 78(3). 1157–1167. 14 indexed citations

10.

Hass, Helge, Clemens Kreutz, Jens Timmer, & Daniel Kaschek. (2015). Fast integration-based prediction bands for ordinary differential equation models. Bioinformatics. 32(8). 1204–1210. 18 indexed citations

11.

Raue, Andreas, Bernhard Steiert, Max Schelker, et al.. (2015). Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems. Bioinformatics. 31(21). 3558–3560. 153 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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