Patrick Sagmeister

630 total citations
23 papers, 487 citations indexed

About

Patrick Sagmeister is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Patrick Sagmeister has authored 23 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Control and Systems Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Patrick Sagmeister's work include Viral Infectious Diseases and Gene Expression in Insects (17 papers), Fault Detection and Control Systems (9 papers) and Protein purification and stability (8 papers). Patrick Sagmeister is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (17 papers), Fault Detection and Control Systems (9 papers) and Protein purification and stability (8 papers). Patrick Sagmeister collaborates with scholars based in Austria, Switzerland and Australia. Patrick Sagmeister's co-authors include Christoph Herwig, Patrick Wechselberger, Timo Langemann, Mohammadhadi Jazini, Oliver Spadiut, Werner Lubitz, Torsten C. Schmidt, Yvonne E. Thomassen, Patrick J. Murphy and Eric Mueller and has published in prestigious journals such as Applied Microbiology and Biotechnology, Analytica Chimica Acta and Chemical Engineering Science.

In The Last Decade

Patrick Sagmeister

23 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Sagmeister Austria 14 385 119 93 64 41 23 487
Julian Kager Austria 13 328 0.9× 118 1.0× 82 0.9× 36 0.6× 38 0.9× 29 452
Sophia Ulonska Austria 8 273 0.7× 97 0.8× 55 0.6× 33 0.5× 22 0.5× 8 396
Patrick Wechselberger Austria 14 356 0.9× 115 1.0× 106 1.1× 21 0.3× 23 0.6× 17 449
Salim Charaniya United States 12 343 0.9× 34 0.3× 36 0.4× 72 1.1× 33 0.8× 13 449
Marco Jenzsch Germany 17 593 1.5× 228 1.9× 193 2.1× 37 0.6× 40 1.0× 24 727
Duygu Dikicioǧlu United Kingdom 14 418 1.1× 23 0.2× 133 1.4× 45 0.7× 19 0.5× 40 534
N. J. Titchener–Hooker United Kingdom 13 311 0.8× 46 0.4× 161 1.7× 18 0.3× 44 1.1× 33 489
Paul Kröll Austria 13 335 0.9× 90 0.8× 112 1.2× 16 0.3× 16 0.4× 16 475
Johannes Hemmerich Germany 14 535 1.4× 28 0.2× 249 2.7× 69 1.1× 68 1.7× 27 704
William A. Weigand United States 17 604 1.6× 70 0.6× 194 2.1× 131 2.0× 149 3.6× 33 827

Countries citing papers authored by Patrick Sagmeister

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Sagmeister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Sagmeister

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Sagmeister. A scholar is included among the top collaborators of Patrick Sagmeister 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 Patrick Sagmeister. Patrick Sagmeister 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.
Sagmeister, Patrick, et al.. (2018). Multivariate analytics of chromatographic data: Visual computing based on moving window factor models. Journal of Chromatography B. 1092. 179–190. 5 indexed citations
2.
Sagmeister, Patrick, et al.. (2018). Comparison of data science workflows for root cause analysis of bioprocesses. Bioprocess and Biosystems Engineering. 42(2). 245–256. 13 indexed citations
3.
Nikzad‐Langerodi, Ramin, et al.. (2017). Automatic feed phase identification in multivariate bioprocess profiles by sequential binary classification. Analytica Chimica Acta. 982. 48–61. 6 indexed citations
4.
Sagmeister, Patrick, et al.. (2017). A novel method to recover inclusion body protein from recombinant E. coli fed-batch processes based on phage ΦX174-derived lysis protein E. Applied Microbiology and Biotechnology. 101(14). 5603–5614. 19 indexed citations
5.
Mueller, Eric, Patrick J. Murphy, Sandra Abad, et al.. (2017). Integrated Process Modeling—A Process Validation Life Cycle Companion. Bioengineering. 4(4). 86–86. 25 indexed citations
6.
Sagmeister, Patrick, et al.. (2016). Propagation of measurement accuracy to biomass soft-sensor estimation and control quality. Analytical and Bioanalytical Chemistry. 409(3). 693–706. 12 indexed citations
7.
Haas, Florian, et al.. (2016). Bioprocess development workflow: Transferable physiological knowledge instead of technological correlations. Biotechnology Progress. 33(1). 261–270. 5 indexed citations
8.
Sagmeister, Patrick, et al.. (2016). Tunable recombinant protein expression in E. coli: enabler for continuous processing?. Applied Microbiology and Biotechnology. 100(13). 5719–5728. 35 indexed citations
9.
Sagmeister, Patrick, et al.. (2016). Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control. Microorganisms. 4(2). 18–18. 10 indexed citations
10.
Wurm, David Johannes, et al.. (2016). Simple monitoring of cell leakiness and viability in Escherichia coli bioprocesses—A case study. Engineering in Life Sciences. 17(6). 598–604. 13 indexed citations
11.
Sagmeister, Patrick, et al.. (2016). Tunable recombinant protein expression in E. coli: promoter systems and genetic constraints. Applied Microbiology and Biotechnology. 101(2). 501–512. 42 indexed citations
12.
Kröll, Paul, et al.. (2014). Ex situonline monitoring: application, challenges and opportunities for biopharmaceuticals processes. 2(3). 285–300. 12 indexed citations
13.
Sagmeister, Patrick, et al.. (2014). An Integrated Downstream Process Development Strategy along QbD Principles. Bioengineering. 1(4). 213–230. 11 indexed citations
14.
Sagmeister, Patrick, et al.. (2013). A dynamic method for the investigation of induced state metabolic capacities as a function of temperature. Microbial Cell Factories. 12(1). 94–94. 13 indexed citations
15.
Sagmeister, Patrick, et al.. (2013). Tunable recombinant protein expression with E. coli in a mixed-feed environment. Applied Microbiology and Biotechnology. 98(7). 2937–2945. 18 indexed citations
16.
Sagmeister, Patrick, et al.. (2013). Soft sensor assisted dynamic bioprocess control: Efficient tools for bioprocess development. Chemical Engineering Science. 96. 190–198. 60 indexed citations
17.
Sagmeister, Patrick, et al.. (2013). Soft-sensor assisted dynamic investigation of mixed feed bioprocesses. Process Biochemistry. 48(12). 1839–1847. 16 indexed citations
18.
Wechselberger, Patrick, et al.. (2012). Efficient feeding profile optimization for recombinant protein production using physiological information. Bioprocess and Biosystems Engineering. 35(9). 1637–1649. 28 indexed citations
19.
Wechselberger, Patrick, Patrick Sagmeister, & Christoph Herwig. (2012). Model‐based analysis on the extractability of information from data in dynamic fed‐batch experiments. Biotechnology Progress. 29(1). 285–296. 27 indexed citations
20.
Wechselberger, Patrick, Patrick Sagmeister, & Christoph Herwig. (2012). Real-time estimation of biomass and specific growth rate in physiologically variable recombinant fed-batch processes. Bioprocess and Biosystems Engineering. 36(9). 1205–1218. 76 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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