Sophia Ulonska

560 total citations
8 papers, 396 citations indexed

About

Sophia Ulonska is a scholar working on Molecular Biology, Control and Systems Engineering and Physical and Theoretical Chemistry. According to data from OpenAlex, Sophia Ulonska has authored 8 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 1 paper in Physical and Theoretical Chemistry. Recurrent topics in Sophia Ulonska's work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Advanced Control Systems Optimization (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Sophia Ulonska is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (7 papers), Advanced Control Systems Optimization (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Sophia Ulonska collaborates with scholars based in Austria and Germany. Sophia Ulonska's co-authors include Christoph Herwig, Julian Kager, Oliver Spadiut, Paul Kröll, Jens Fricke, David Johannes Wurm, Bernd Hitzmann, Manuel Pereira Remelhe, Dörte Solle and Alexandra Hofer and has published in prestigious journals such as Scientific Reports, Applied Microbiology and Biotechnology and Chemical Engineering Science.

In The Last Decade

Sophia Ulonska

8 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sophia Ulonska Austria	8	273	97	55	33	25	8	396
Julian Kager Austria	13	328 1.2×	118 1.2×	82 1.5×	36 1.1×	15 0.6×	29	452
Patrick Wechselberger Austria	14	356 1.3×	115 1.2×	106 1.9×	21 0.6×	30 1.2×	17	449
Patrick Sagmeister Austria	14	385 1.4×	119 1.2×	93 1.7×	64 1.9×	26 1.0×	23	487
Salim Charaniya United States	12	343 1.3×	34 0.4×	36 0.7×	72 2.2×	23 0.9×	13	449
Paul Kröll Austria	13	335 1.2×	90 0.9×	112 2.0×	16 0.5×	65 2.6×	16	475
Stephen Goldrick United Kingdom	13	248 0.9×	140 1.4×	115 2.1×	11 0.3×	38 1.5×	28	441
Mark Duerkop Austria	11	285 1.0×	74 0.8×	116 2.1×	10 0.3×	46 1.8×	16	412
N. J. Titchener–Hooker United Kingdom	13	311 1.1×	46 0.5×	161 2.9×	18 0.5×	42 1.7×	33	489
Björn Frahm Germany	12	244 0.9×	76 0.8×	115 2.1×	15 0.5×	19 0.8×	29	342
Martin F. Luna Argentina	9	333 1.2×	133 1.4×	110 2.0×	7 0.2×	51 2.0×	20	469

Countries citing papers authored by Sophia Ulonska

Since Specialization

Citations

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

Fields of papers citing papers by Sophia Ulonska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophia Ulonska

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

All Works

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8 of 8 papers shown

Kager, Julian, et al.. (2019). Experimental verification and comparison of model predictive, PID and model inversion control in a Penicillium chrysogenum fed-batch process. Process Biochemistry. 90. 1–11. 30 indexed citations

Ulonska, Sophia, et al.. (2018). Model predictive control in comparison to elemental balance control in an E. coli fed-batch. Chemical Engineering Science. 191. 459–467. 22 indexed citations

Kopp, Julian, Christoph Slouka, Sophia Ulonska, et al.. (2017). Impact of Glycerol as Carbon Source onto Specific Sugar and Inducer Uptake Rates and Inclusion Body Productivity in E. coli BL21(DE3). Bioengineering. 5(1). 1–1. 84 indexed citations

Kröll, Paul, Alexandra Hofer, Sophia Ulonska, Julian Kager, & Christoph Herwig. (2017). Model-Based Methods in the Biopharmaceutical Process Lifecycle. Pharmaceutical Research. 34(12). 2596–2613. 58 indexed citations

Wurm, David Johannes, et al.. (2017). Mechanistic platform knowledge of concomitant sugar uptake in Escherichia coli BL21(DE3) strains. Scientific Reports. 7(1). 45072–45072. 25 indexed citations

Solle, Dörte, et al.. (2017). Between the Poles of Data‐Driven and Mechanistic Modeling for Process Operation. Chemie Ingenieur Technik. 89(5). 542–561. 104 indexed citations

Ulonska, Sophia, Paul Kröll, Jens Fricke, et al.. (2017). Workflow for Target‐Oriented Parametrization of an Enhanced Mechanistic Cell Culture Model. Biotechnology Journal. 13(4). e1700395–e1700395. 20 indexed citations

Wurm, David Johannes, et al.. (2016). The E. coli pET expression system revisited—mechanistic correlation between glucose and lactose uptake. Applied Microbiology and Biotechnology. 100(20). 8721–8729. 53 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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