Peter Sagmeister

830 total citations
29 papers, 597 citations indexed

About

Peter Sagmeister is a scholar working on Biomedical Engineering, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Peter Sagmeister has authored 29 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 10 papers in Molecular Biology and 9 papers in Control and Systems Engineering. Recurrent topics in Peter Sagmeister's work include Innovative Microfluidic and Catalytic Techniques Innovation (20 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Advanced Control Systems Optimization (6 papers). Peter Sagmeister is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (20 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Advanced Control Systems Optimization (6 papers). Peter Sagmeister collaborates with scholars based in Austria, United States and Switzerland. Peter Sagmeister's co-authors include C. Oliver Kappe, Jason D. Williams, Christopher A. Hone, Martin Horn, Stephan Sacher, Jakob Rehrl, Ismaël Castillo, René Lebl, Julia Kruisz and David Cantillo and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and The Journal of Organic Chemistry.

In The Last Decade

Peter Sagmeister

27 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Sagmeister Austria 13 434 128 121 106 101 29 597
Stephen C. Born United States 12 330 0.8× 80 0.6× 162 1.3× 85 0.8× 62 0.6× 22 591
M. Grace Russell United States 7 444 1.0× 154 1.2× 149 1.2× 42 0.4× 66 0.7× 7 615
Nicholas Holmes United Kingdom 7 435 1.0× 90 0.7× 207 1.7× 125 1.2× 96 1.0× 7 617
Anirudh M. K. Nambiar United States 9 283 0.7× 71 0.6× 116 1.0× 48 0.5× 42 0.4× 10 422
Connor J. Taylor United Kingdom 12 464 1.1× 119 0.9× 312 2.6× 126 1.2× 83 0.8× 16 864
Brandon J. Reizman United States 9 668 1.5× 138 1.1× 293 2.4× 83 0.8× 102 1.0× 12 861
Christopher A. Hone Austria 17 675 1.6× 147 1.1× 188 1.6× 84 0.8× 91 0.9× 43 930
Jamie A. Manson United Kingdom 10 338 0.8× 62 0.5× 179 1.5× 95 0.9× 73 0.7× 10 472
Markus Damm Austria 16 225 0.5× 121 0.9× 76 0.6× 43 0.4× 81 0.8× 57 779
Scott A. May United States 16 370 0.9× 153 1.2× 118 1.0× 63 0.6× 63 0.6× 30 801

Countries citing papers authored by Peter Sagmeister

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sagmeister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Sagmeister

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Sagmeister. A scholar is included among the top collaborators of Peter 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 Peter Sagmeister. Peter 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, Peter, Pavan Inguva, Étienne Boulais, et al.. (2025). Structure and Morphology of Lipid Nanoparticles for Nucleic Acid Drug Delivery: A Review. ACS Nano. 19(23). 21206–21242. 7 indexed citations
2.
Sagmeister, Peter, Julie Chen, Jiejun Ren, et al.. (2025). Manufacturing mRNA-Loaded Lipid Nanoparticles with Precise Size and Morphology Control. ACS Nano. 19(38). 33991–34002.
3.
Rehrl, Jakob, Ismaël Castillo, Julia Kruisz, et al.. (2025). A systematic modeling approach for continuous flow synthesis applicable to real-time process control. Process Safety and Environmental Protection. 216. 322–332.
4.
Steinberger, Martin, Peter Sagmeister, Jason D. Williams, et al.. (2024). Model-based real-time optimization in continuous pharmaceutical manufacturing. Computers & Chemical Engineering. 192. 108915–108915. 5 indexed citations
5.
Wagner, Florian, et al.. (2024). Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study. ACS Sustainable Chemistry & Engineering. 12(26). 10002–10010. 12 indexed citations
6.
Wagner, Florian, et al.. (2024). A Slug Flow Platform with Multiple Process Analytics Facilitates Flexible Reaction Optimization. Advanced Science. 11(13). e2308034–e2308034. 19 indexed citations
7.
Sagmeister, Peter, Jason D. Williams, & C. Oliver Kappe. (2023). The Rocky Road to a Digital Lab. CHIMIA International Journal for Chemistry. 77(5). 300–300. 9 indexed citations
8.
Sagmeister, Peter, et al.. (2023). Dynamic experiments in flow accelerate reaction network definition in a complex hydrogenation using catalytic static mixers. Reaction Chemistry & Engineering. 9(1). 132–138. 12 indexed citations
9.
Sagmeister, Peter, Peter Weiß, Martin Horn, et al.. (2023). Accelerating reaction modeling using dynamic flow experiments, part 1: design space exploration. Reaction Chemistry & Engineering. 8(11). 2818–2825. 12 indexed citations
10.
Sagmeister, Peter, et al.. (2023). Accelerating reaction modeling using dynamic flow experiments, part 2: development of a digital twin. Reaction Chemistry & Engineering. 8(11). 2849–2855. 11 indexed citations
11.
Sagmeister, Peter, Dainis Kaldre, Chethana Gadiyar, et al.. (2023). Continuous Flow-Facilitated CB2 Agonist Synthesis, Part 1: Azidation and [3 + 2] Cycloaddition. Organic Process Research & Development. 27(4). 592–600. 6 indexed citations
12.
Sagmeister, Peter, et al.. (2022). Autonomous model-based experimental design for rapid reaction development. Reaction Chemistry & Engineering. 7(11). 2375–2384. 19 indexed citations
13.
Sagmeister, Peter, et al.. (2022). Automated flow and real-time analytics approach for screening functional group tolerance in heterogeneous catalytic reactions. Catalysis Science & Technology. 12(6). 1799–1811. 13 indexed citations
14.
Sagmeister, Peter, et al.. (2022). Autonomous Multi‐Step and Multi‐Objective Optimization Facilitated by Real‐Time Process Analytics. Advanced Science. 9(10). e2105547–e2105547. 60 indexed citations
15.
Sagmeister, Peter, René Lebl, Ismaël Castillo, et al.. (2021). Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**. Angewandte Chemie International Edition. 60(15). 8139–8148. 118 indexed citations
16.
Sagmeister, Peter, René Lebl, Ismaël Castillo, et al.. (2021). Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**. Angewandte Chemie. 133(15). 8220–8229. 20 indexed citations
17.
Sacher, Stephan, Ismaël Castillo, Jakob Rehrl, et al.. (2021). Automated and continuous synthesis of drug substances. Process Safety and Environmental Protection. 177. 493–501. 14 indexed citations
18.
Sagmeister, Peter, Jason D. Williams, Christopher A. Hone, & C. Oliver Kappe. (2019). Laboratory of the future: a modular flow platform with multiple integrated PAT tools for multistep reactions. Reaction Chemistry & Engineering. 4(9). 1571–1578. 92 indexed citations
19.
Sagmeister, Peter, et al.. (2016). Physiologically relevant plasma d , l -homocysteine concentrations mobilize Cd from human serum albumin. Journal of Chromatography B. 1027. 181–186. 13 indexed citations
20.
Guttenberger, Nikolaus, et al.. (2016). Facile access to arsenic-containing triacylglycerides. Tetrahedron Letters. 58(4). 362–364. 8 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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