Moritz E. Beber

1.8k total citations
18 papers, 550 citations indexed

About

Moritz E. Beber is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Moritz E. Beber has authored 18 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Moritz E. Beber's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (6 papers). Moritz E. Beber is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (6 papers). Moritz E. Beber collaborates with scholars based in Germany, Denmark and United States. Moritz E. Beber's co-authors include Nikolaus Sonnenschein, Christian Lieven, Benjamín J. Sánchez, Mihail Anton, Dimitra Lappa, Jens Nielsen, Feiran Li, Hongzhong Lu, Εlad Noor and Gang Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Moritz E. Beber

17 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moritz E. Beber Germany 10 456 197 30 24 24 18 550
Supreeta Vijayakumar United Kingdom 8 346 0.8× 100 0.5× 18 0.6× 18 0.8× 9 0.4× 10 411
E Selkov United States 10 966 2.1× 164 0.8× 16 0.5× 63 2.6× 51 2.1× 11 1.1k
Zak Costello United States 10 643 1.4× 180 0.9× 72 2.4× 30 1.3× 40 1.7× 16 839
Hulda S. Haraldsdóttir Luxembourg 8 379 0.8× 82 0.4× 4 0.1× 35 1.5× 12 0.5× 10 427
Anupam Chowdhury United States 13 620 1.4× 289 1.5× 22 0.7× 12 0.5× 44 1.8× 14 658
Tolutola Oyetunde United States 8 288 0.6× 117 0.6× 5 0.2× 14 0.6× 25 1.0× 11 358
José P. Pinto Portugal 5 390 0.9× 192 1.0× 8 0.3× 15 0.6× 23 1.0× 10 419
Chiam Yu Ng United States 10 531 1.2× 248 1.3× 21 0.7× 33 1.4× 36 1.5× 10 577
Mengliang Tian China 12 139 0.3× 33 0.2× 21 0.7× 17 0.7× 11 0.5× 27 368
Axel von Kamp Germany 18 953 2.1× 453 2.3× 9 0.3× 41 1.7× 31 1.3× 24 1.0k

Countries citing papers authored by Moritz E. Beber

Since Specialization
Citations

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

Fields of papers citing papers by Moritz E. Beber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moritz E. Beber. 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 Moritz E. Beber. The network helps show where Moritz E. Beber may publish in the future.

Co-authorship network of co-authors of Moritz E. Beber

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

All Works

18 of 18 papers shown
1.
Beber, Moritz E., et al.. (2023). TAXPASTA: TAXonomic Profile Aggregation andSTAndardisation. The Journal of Open Source Software. 8(87). 5627–5627. 1 indexed citations
2.
McCubbin, Tim, et al.. (2021). multiTFA: a Python package for multi-variate thermodynamics-based flux analysis. Bioinformatics. 37(18). 3064–3066. 8 indexed citations
3.
Ankersen, Dorit Vedel, Petra Weimers, Anne Haaber, et al.. (2021). Long-Term Effects of a Web-Based Low-FODMAP Diet Versus Probiotic Treatment for Irritable Bowel Syndrome, Including Shotgun Analyses of Microbiota: Randomized, Double-Crossover Clinical Trial. Journal of Medical Internet Research. 23(12). e30291–e30291. 22 indexed citations
4.
Beber, Moritz E., et al.. (2021). eQuilibrator 3.0: a database solution for thermodynamic constant estimation. Nucleic Acids Research. 50(D1). D603–D609. 105 indexed citations
5.
Carey, Maureen A., Andreas Dräger, Moritz E. Beber, Jason A. Papin, & James T. Yurkovich. (2020). Community standards to facilitate development and address challenges in metabolic modeling. Molecular Systems Biology. 16(8). e9235–e9235. 34 indexed citations
6.
Beber, Moritz E., et al.. (2020). dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python. The Journal of Open Source Software. 5(52). 2342–2342. 5 indexed citations
7.
Lu, Hongzhong, Feiran Li, Benjamín J. Sánchez, et al.. (2019). A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nature Communications. 10(1). 3586–3586. 224 indexed citations
8.
Beber, Moritz E.. (2019). biosustain/memote-meta-models: collection publication state. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Jensen, Kristian, Christian Lieven, Moritz E. Beber, et al.. (2018). Cameo: A Python Library for Computer Aided Metabolic Engineering and Optimization of Cell Factories. ACS Synthetic Biology. 7(4). 1163–1166. 49 indexed citations
10.
Beber, Moritz E., Georgi Muskhelishvili, & Marc‐Thorsten Hütt. (2016). Effect of database drift on network topology and enrichment analyses: a case study for RegulonDB. Database. 2016. baw003–baw003. 4 indexed citations
11.
Hardt, Christopher, Moritz E. Beber, Axel Rasche, et al.. (2016). ToxDB: pathway-level interpretation of drug-treatment data. Database. 2016. baw052–baw052. 19 indexed citations
12.
Beber, Moritz E., Patrick Sobetzko, Georgi Muskhelishvili, & Marc‐Thorsten Hütt. (2016). Interplay of digital and analog control in time-resolved gene expression profiles. Springer Link (Chiba Institute of Technology). 4(1). 8 indexed citations
13.
Beber, Moritz E. & Till Becker. (2014). Towards an Understanding of the Relation between Topological Characteristics and Dynamic Behavior in Manufacturing Networks. Procedia CIRP. 19. 21–26. 9 indexed citations
14.
Beber, Moritz E., Dieter Armbruster, & Marc‐Thorsten Hütt. (2013). The prescribed output pattern regulates the modular structure of flow networks. The European Physical Journal B. 86(11). 3 indexed citations
15.
Beber, Moritz E., et al.. (2012). Artefacts in statistical analyses of network motifs: general framework and application to metabolic networks. Journal of The Royal Society Interface. 9(77). 3426–3435. 27 indexed citations
16.
Beber, Moritz E. & Marc‐Thorsten Hütt. (2012). How do production systems in biological cells maintain their function in changing environments?. 5(3-4). 79–87. 3 indexed citations
17.
Becker, Till, Moritz E. Beber, Katja Windt, & Marc‐Thorsten Hütt. (2012). The impact of network connectivity on performance in production logistic networks. CIRP journal of manufacturing science and technology. 5(4). 309–318. 13 indexed citations
18.
Becker, Till, Moritz E. Beber, Katja Windt, Marc‐Thorsten Hütt, & Dirk Helbing. (2011). Flow control by periodic devices: a unifying language for the description of traffic, production, and metabolic systems. Journal of Statistical Mechanics Theory and Experiment. 2011(5). P05004–P05004. 14 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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