Eberhard O. Voit

9.2k total citations
226 papers, 6.5k citations indexed

About

Eberhard O. Voit is a scholar working on Molecular Biology, Biomedical Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eberhard O. Voit has authored 226 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 22 papers in Biomedical Engineering and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eberhard O. Voit's work include Microbial Metabolic Engineering and Bioproduction (80 papers), Gene Regulatory Network Analysis (69 papers) and Bioinformatics and Genomic Networks (27 papers). Eberhard O. Voit is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (80 papers), Gene Regulatory Network Analysis (69 papers) and Bioinformatics and Genomic Networks (27 papers). Eberhard O. Voit collaborates with scholars based in United States, Portugal and Germany. Eberhard O. Voit's co-authors include Michael A. Savageau, I-Chun Chou, Jonas S. Almeida, Néstor V. Torres, Luís L. Fonseca, Zhen Qi, Harald Martens, Yusuf A. Hannun, Fernando Alvarez‐Vasquez and Kellie J. Sims and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Eberhard O. Voit

222 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eberhard O. Voit United States 40 4.6k 619 472 457 454 226 6.5k
Michael A. Savageau United States 48 6.2k 1.4× 493 0.8× 1.5k 3.3× 280 0.6× 521 1.1× 133 7.8k
James Sneyd New Zealand 43 3.2k 0.7× 528 0.9× 779 1.7× 221 0.5× 288 0.6× 162 7.6k
Pedro Mendes United States 43 8.5k 1.9× 887 1.4× 761 1.6× 255 0.6× 1.5k 3.2× 113 11.4k
Mustafa Khammash United States 44 4.3k 0.9× 628 1.0× 964 2.0× 1.2k 2.6× 417 0.9× 216 6.5k
David A. Fell United Kingdom 50 6.5k 1.4× 1.3k 2.1× 449 1.0× 205 0.4× 786 1.7× 184 9.3k
Stefan Schuster Germany 39 3.9k 0.9× 492 0.8× 678 1.4× 128 0.3× 310 0.7× 149 6.0k
Edda Klipp Germany 39 4.4k 1.0× 495 0.8× 358 0.8× 111 0.2× 362 0.8× 161 5.4k
Jörg Stelling Switzerland 31 4.4k 1.0× 812 1.3× 624 1.3× 187 0.4× 316 0.7× 88 5.3k
Reinhard Schneider Germany 43 7.0k 1.5× 196 0.3× 718 1.5× 111 0.2× 374 0.8× 196 10.5k
Olaf Wolkenhauer Germany 41 3.7k 0.8× 341 0.6× 415 0.9× 109 0.2× 152 0.3× 277 5.6k

Countries citing papers authored by Eberhard O. Voit

Since Specialization
Citations

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

Fields of papers citing papers by Eberhard O. Voit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eberhard O. Voit. 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 Eberhard O. Voit. The network helps show where Eberhard O. Voit may publish in the future.

Co-authorship network of co-authors of Eberhard O. Voit

This figure shows the co-authorship network connecting the top 25 collaborators of Eberhard O. Voit. A scholar is included among the top collaborators of Eberhard O. Voit 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 Eberhard O. Voit. Eberhard O. Voit 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.
Fonseca, Luís L., et al.. (2021). A model of dopamine and serotonin-kynurenine metabolism in cortisolemia: Implications for depression. PLoS Computational Biology. 17(5). e1008956–e1008956. 21 indexed citations
2.
3.
Zhang, Qiang, et al.. (2019). Dynamical systems approaches to personalized medicine. Current Opinion in Biotechnology. 58. 168–174. 15 indexed citations
4.
Uliyakina, Inna, et al.. (2018). A Mathematical Model of the Phosphoinositide Pathway. Scientific Reports. 8(1). 3904–3904. 17 indexed citations
5.
Qi, Zhen & Eberhard O. Voit. (2017). Inference of cancer mechanisms through computational systems analysis. Molecular BioSystems. 13(3). 489–497. 6 indexed citations
6.
Voit, Eberhard O.. (2017). A First Course in Systems Biology. 48 indexed citations
7.
Voit, Eberhard O.. (2016). Canonical Modeling: A Link Between Environmental Models and Statistics. SHILAP Revista de lepidopterología.
8.
Fonseca, Luís L., et al.. (2016). Dynamic models of the complex microbial metapopulation of lake mendota. npj Systems Biology and Applications. 2(1). 16007–16007. 33 indexed citations
9.
Dolatshahi, Sepideh, Luís L. Fonseca, & Eberhard O. Voit. (2015). New insights into the complex regulation of the glycolytic pathway in Lactococcus lactis . II. Inference of the precisely timed control system regulating glycolysis. Molecular BioSystems. 12(1). 37–47. 12 indexed citations
10.
Dolatshahi, Sepideh, Luís L. Fonseca, & Eberhard O. Voit. (2015). New insights into the complex regulation of the glycolytic pathway in Lactococcus lactis . I. Construction and diagnosis of a comprehensive dynamic model. Molecular BioSystems. 12(1). 23–36. 9 indexed citations
11.
Gutiérrez, Juan B., et al.. (2015). WITHDRAWN: From within host dynamics to the epidemiology of infectious disease: Scientific overview and challenges. Mathematical Biosciences. 2 indexed citations
12.
Limousy, Lionel, et al.. (2014). Simulation of the Denitrification Process of Waste Water with a Biochemical Systems Model: A Non-Conventional Approach. International Journal of Chemical Reactor Engineering. 12(2). 683–693. 2 indexed citations
13.
Fonseca, Luís L., Claudia Sánchez, Helena Santos, & Eberhard O. Voit. (2010). Complex coordination of multi-scale cellular responses to environmental stress. Molecular BioSystems. 7(3). 731–741. 18 indexed citations
14.
Weitz, Joshua S., Yuriy Mileyko, Richard Joh, & Eberhard O. Voit. (2008). Collective Decision Making in Bacterial Viruses. Biophysical Journal. 95(6). 2673–2680. 58 indexed citations
15.
Chou, I-Chun, Harald Martens, & Eberhard O. Voit. (2007). Parameter estimation of S-distributions with alternating regression.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 31(1). 55–74. 4 indexed citations
16.
He, Qin & Eberhard O. Voit. (2005). Estimation and completion of survival data with piecewise linear models and S -distributions. Journal of Statistical Computation and Simulation. 75(4). 287–305. 2 indexed citations
17.
Almeida, Jonas S., et al.. (2003). XML4MAT: Inter-conversion between MatlabTMstructured variables and the markup language MbML. SSRN Electronic Journal.
18.
Savageau, Michael A. & Eberhard O. Voit. (1982). Power-Law Approach to Modeling Biological Systems : I. Theory. Journal of Fermentation Technology. 60(3). 221–228. 37 indexed citations
19.
Voit, Eberhard O. & Michael A. Savageau. (1982). Power-law approach to modeling biological systems. II. Application to ethanol production. Journal of Fermentation Technology. 60(3). 229–232. 34 indexed citations
20.
Voit, Eberhard O., et al.. (1982). Power-Low Approach to Modelng Biological Systems : III. Methods of Analysis. Journal of Fermentation Technology. 60(3). 233–241. 39 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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