Fiete Haack

470 total citations
32 papers, 319 citations indexed

About

Fiete Haack is a scholar working on Molecular Biology, Management Science and Operations Research and Information Systems and Management. According to data from OpenAlex, Fiete Haack has authored 32 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Management Science and Operations Research and 8 papers in Information Systems and Management. Recurrent topics in Fiete Haack's work include Simulation Techniques and Applications (12 papers), Scientific Computing and Data Management (8 papers) and Protein Structure and Dynamics (6 papers). Fiete Haack is often cited by papers focused on Simulation Techniques and Applications (12 papers), Scientific Computing and Data Management (8 papers) and Protein Structure and Dynamics (6 papers). Fiete Haack collaborates with scholars based in Germany, United Kingdom and Czechia. Fiete Haack's co-authors include Adelinde M. Uhrmacher, Heiko Lemcke, Roland Ewald, Tareck Rharass, Carsten Maus, Siriluck Ponsuksili, Klaus Wimmers, Nares Trakooljul, Jan Himmelspach and Eduard Muráni and has published in prestigious journals such as The Journal of Chemical Physics, Scientific Reports and Journal of Cell Science.

In The Last Decade

Fiete Haack

31 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiete Haack Germany 11 138 108 73 48 29 32 319
Daniel Karlsson Sweden 14 361 2.6× 85 0.8× 29 0.4× 54 1.1× 93 3.2× 54 741
Carsten Maus Germany 9 136 1.0× 130 1.2× 48 0.7× 31 0.6× 39 1.3× 16 264
Andrew K. Miller New Zealand 7 318 2.3× 47 0.4× 100 1.4× 21 0.4× 23 0.8× 11 432
Simon Coakley United Kingdom 9 85 0.6× 63 0.6× 23 0.3× 58 1.2× 31 1.1× 13 322
Matt Halstead New Zealand 8 738 5.3× 31 0.3× 100 1.4× 24 0.5× 67 2.3× 11 875
Steve McKeever United Kingdom 9 174 1.3× 17 0.2× 60 0.8× 36 0.8× 28 1.0× 51 341
Olga Krebs Germany 10 308 2.2× 22 0.2× 125 1.7× 14 0.3× 10 0.3× 18 403
Martin Golebiewski Germany 14 572 4.1× 37 0.3× 168 2.3× 21 0.4× 39 1.3× 35 734
Rafael C. Jiménez United Kingdom 14 571 4.1× 30 0.3× 199 2.7× 41 0.9× 56 1.9× 31 780
Andrew Finney United States 12 1.1k 7.9× 33 0.3× 76 1.0× 22 0.5× 101 3.5× 18 1.3k

Countries citing papers authored by Fiete Haack

Since Specialization
Citations

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

Fields of papers citing papers by Fiete Haack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiete Haack

This figure shows the co-authorship network connecting the top 25 collaborators of Fiete Haack. A scholar is included among the top collaborators of Fiete Haack 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 Fiete Haack. Fiete Haack 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.
Haack, Fiete, et al.. (2023). Implications of different membrane compartmentalization models in particle-based in silico studies. Royal Society Open Science. 10(7). 221177–221177. 1 indexed citations
2.
Haack, Fiete, et al.. (2022). Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns. ACM Transactions on Modeling and Computer Simulation. 33(1-2). 1–27. 8 indexed citations
3.
Zimmermann, Julius, Fiete Haack, Adelinde M. Uhrmacher, et al.. (2022). Long-term stimulation with alternating electric fields modulates the differentiation and mineralization of human pre-osteoblasts. Frontiers in Physiology. 13. 965181–965181. 11 indexed citations
4.
Haack, Fiete, et al.. (2021). Relating simulation studies by provenance—Developing a family of Wnt signaling models. PLoS Computational Biology. 17(8). e1009227–e1009227. 10 indexed citations
5.
Hadlich, Frieder, Nares Trakooljul, Fiete Haack, et al.. (2021). Multi-Transcript Level Profiling Revealed Distinct mRNA, miRNA, and tRNA-Derived Fragment Bio-Signatures for Coping Behavior Linked Haplotypes in HPA Axis and Limbic System. Frontiers in Genetics. 12. 635794–635794. 5 indexed citations
6.
Haack, Fiete, et al.. (2021). Receptor/Raft Ratio Is a Determinant for LRP6 Phosphorylation and WNT/β-Catenin Signaling. Frontiers in Cell and Developmental Biology. 9. 706731–706731. 9 indexed citations
7.
Staehlke, Susanne, et al.. (2020). ROS Dependent Wnt/β-Catenin Pathway and Its Regulation on Defined Micro-Pillars—A Combined In Vitro and In Silico Study. Cells. 9(8). 1784–1784. 20 indexed citations
8.
Haack, Fiete, et al.. (2020). Exploring the mechanistic and temporal regulation of LRP6 endocytosis in canonical WNT signaling. Journal of Cell Science. 133(15). 10 indexed citations
9.
Muráni, Eduard, Fiete Haack, Nares Trakooljul, et al.. (2019). Haplotypes of coping behavior associated QTL regions reveal distinct transcript profiles in amygdala and hippocampus. Behavioural Brain Research. 372. 112038–112038. 5 indexed citations
10.
Ponsuksili, Siriluck, Nares Trakooljul, Frieder Hadlich, et al.. (2017). Genetic architecture and regulatory impact on hepatic microRNA expression linked to immune and metabolic traits. Open Biology. 7(11). 13 indexed citations
11.
Ponsuksili, Siriluck, Nares Trakooljul, Frieder Hadlich, et al.. (2016). Genetically regulated hepatic transcripts and pathways orchestrate haematological, biochemical and body composition traits. Scientific Reports. 6(1). 39614–39614. 8 indexed citations
12.
Haack, Fiete, Heiko Lemcke, Roland Ewald, Tareck Rharass, & Adelinde M. Uhrmacher. (2015). Spatio-temporal Model of Endogenous ROS and Raft-Dependent WNT/Beta-Catenin Signaling Driving Cell Fate Commitment in Human Neural Progenitor Cells. PLoS Computational Biology. 11(3). e1004106–e1004106. 54 indexed citations
13.
Maus, Carsten, et al.. (2014). Multi-level modeling and simulation of cell biological systems with ML-rules: a tutorial. Winter Simulation Conference. 177–191. 4 indexed citations
14.
Maus, Carsten, et al.. (2014). Multi-level modeling and simulation of cell biological systems with ML-Rules - A tutorial. Proceedings of the Winter Simulation Conference 2014. 177–191. 1 indexed citations
15.
16.
Haack, Fiete, et al.. (2013). Supporting the integrated visual analysis of input parameters and simulation trajectories. Computers & Graphics. 39. 37–47. 15 indexed citations
17.
Haack, Fiete, Kevin Burrage, R. Redmer, & Adelinde M. Uhrmacher. (2013). Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(3). 760–770. 11 indexed citations
18.
Himmelspach, Jan, et al.. (2011). WorMS- a framework to support workflows in M&S. Winter Simulation Conference. 716–727. 13 indexed citations
19.
Haack, Fiete, Susanna Röblitz, Burkhard Schmidt, et al.. (2010). Adaptive Spectral Clustering for Conformation Analysis. AIP conference proceedings. 1585–1588. 3 indexed citations
20.
Haack, Fiete. (2008). Properties of Reduced Reversible Markov Chains. 1 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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