Gerald Striedner

3.3k total citations
98 papers, 2.1k citations indexed

About

Gerald Striedner is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gerald Striedner has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 27 papers in Genetics and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gerald Striedner's work include Viral Infectious Diseases and Gene Expression in Insects (58 papers), Protein purification and stability (36 papers) and Bacterial Genetics and Biotechnology (21 papers). Gerald Striedner is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (58 papers), Protein purification and stability (36 papers) and Bacterial Genetics and Biotechnology (21 papers). Gerald Striedner collaborates with scholars based in Austria, United Kingdom and Spain. Gerald Striedner's co-authors include Monika Cserjan‐Puschmann, Karl Bayer, Juergen Mairhofer, Reingard Grabherr, Bernhard Sissolak, Mark Duerkop, Wolfgang Sommeregger, Karoline Marisch, Moritz von Stosch and Theresa Scharl and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Gerald Striedner

96 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Striedner Austria 27 1.7k 448 292 269 210 98 2.1k
Jong Hyun Choi South Korea 26 2.0k 1.1× 377 0.8× 644 2.2× 313 1.2× 533 2.5× 76 3.0k
Adam C. Fisher United States 19 858 0.5× 227 0.5× 145 0.5× 283 1.1× 118 0.6× 35 1.4k
Eli Keshavarz‐Moore United Kingdom 25 1.1k 0.6× 315 0.7× 352 1.2× 247 0.9× 236 1.1× 82 1.6k
Cleo Kontoravdi United Kingdom 31 2.2k 1.3× 182 0.4× 407 1.4× 626 2.3× 144 0.7× 112 2.7k
Dhinakar S. Kompala United States 21 1.6k 0.9× 457 1.0× 441 1.5× 115 0.4× 128 0.6× 44 1.9k
Karl Friehs Germany 26 1.4k 0.8× 360 0.8× 394 1.3× 95 0.4× 224 1.1× 78 1.8k
Timo Korpela Finland 28 1.1k 0.6× 256 0.6× 285 1.0× 70 0.3× 386 1.8× 122 2.3k
Erwin Flaschel Germany 25 1.0k 0.6× 253 0.6× 303 1.0× 60 0.2× 194 0.9× 123 1.5k
Monika Cserjan‐Puschmann Austria 17 895 0.5× 254 0.6× 104 0.4× 181 0.7× 127 0.6× 53 1.0k
Weichang Zhou China 22 1.3k 0.8× 219 0.5× 457 1.6× 262 1.0× 169 0.8× 58 1.6k

Countries citing papers authored by Gerald Striedner

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Striedner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Striedner

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Striedner. A scholar is included among the top collaborators of Gerald Striedner 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 Gerald Striedner. Gerald Striedner 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.
Striedner, Gerald, et al.. (2025). Activity of an anaerobic Thermoanaerobacterales hydrolase on aliphatic and aromatic polyesters. Frontiers in Bioengineering and Biotechnology. 12. 1520680–1520680. 3 indexed citations
2.
Fischer, Andreas, Chris Oostenbrink, Rainer Schneider, et al.. (2024). Scar-free tag removal by CASPON® enzyme with broad physicochemical stability in biomanufacturing – A case study of five proteins. Separation and Purification Technology. 360. 130832–130832. 3 indexed citations
3.
4.
Rajamanickam, Vignesh, et al.. (2023). Development and Validation of an Artificial Neural-Network-Based Optical Density Soft Sensor for a High-Throughput Fermentation System. Processes. 11(1). 297–297. 10 indexed citations
5.
Weber, Andreas, et al.. (2023). Recombinant Peptide Production Softens Escherichia coli Cells and Increases Their Size during C-Limited Fed-Batch Cultivation. International Journal of Molecular Sciences. 24(3). 2641–2641. 3 indexed citations
6.
Weber, Andreas, et al.. (2023). Scale‐related process heterogeneities change properties of high‐cell‐density fermentation broths demonstrated with Escherichia coli B and K‐12 strains. Journal of Chemical Technology & Biotechnology. 98(6). 1443–1452. 2 indexed citations
7.
Lingg, Nico, Andreas Fischer, W. Büchinger, et al.. (2022). CASPON platform technology: Ultrafast circularly permuted caspase-2 cleaves tagged fusion proteins before all 20 natural amino acids at the N-terminus. New Biotechnology. 71. 37–46. 16 indexed citations
8.
Pinto, José M., et al.. (2022). A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks. Computers & Chemical Engineering. 165. 107952–107952. 38 indexed citations
9.
10.
Fischer, Andreas, Nico Lingg, Chris Oostenbrink, et al.. (2021). PROFICS: A bacterial selection system for directed evolution of proteases. Journal of Biological Chemistry. 297(4). 101095–101095. 9 indexed citations
11.
Cserjan‐Puschmann, Monika, et al.. (2021). Integrated process development: The key to improve Fab production in E. coli. Biotechnology Journal. 16(6). e2000562–e2000562. 10 indexed citations
12.
Striedner, Gerald, et al.. (2021). Tunable expression rate control of a growth-decoupled T7 expression system by l-arabinose only. Microbial Cell Factories. 20(1). 27–27. 25 indexed citations
13.
Duerkop, Mark, et al.. (2021). Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments. Frontiers in Bioengineering and Biotechnology. 9. 740215–740215. 23 indexed citations
14.
Puente‐Massaguer, Eduard, Florian Strobl, Reingard Grabherr, et al.. (2020). PEI-Mediated Transient Transfection of High Five Cells at Bioreactor Scale for HIV-1 VLP Production. Nanomaterials. 10(8). 1580–1580. 15 indexed citations
15.
16.
Marisch, Karoline, et al.. (2013). Evaluation of three industrial Escherichia coli strains in fed-batch cultivations during high-level SOD protein production. Microbial Cell Factories. 12(1). 58–58. 75 indexed citations
17.
Jungreuthmayer, Christian, et al.. (2013). Designing an optimally ethanol producing E. coli strain using constrained minimal cut sets. European Signal Processing Conference. 1–5. 1 indexed citations
18.
Mairhofer, Juergen, et al.. (2006). Using ColE1‐derived RNA I for suppression of a bacterially encoded gene: implication for a novel plasmid addiction system. Biotechnology Journal. 1(6). 675–681. 18 indexed citations
19.
Striedner, Gerald, et al.. (2003). Tuning the Transcription Rate of Recombinant Protein in Strong Escherichiacoli Expression Systems through Repressor Titration. Biotechnology Progress. 19(5). 1427–1432. 71 indexed citations
20.
Striedner, Gerald, et al.. (1999). Induction of oxidofermentative ethanol formation in recombinant cells of Saccharomyces cerevisiae yeast.. Food Technology and Biotechnology. 37(3). 191–194. 2 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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