Jochen Schaub

581 total citations
14 papers, 438 citations indexed

About

Jochen Schaub is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jochen Schaub has authored 14 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jochen Schaub's work include Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Jochen Schaub is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Jochen Schaub collaborates with scholars based in Germany, United States and South Korea. Jochen Schaub's co-authors include Matthias Reuß, Klaus Mauch, Hitto Kaufmann, Torsten Schulz, Christoph Clemens, Michael Dauner, Tobias Hildebrandt, Werner Rust, Patrick Baum and Fabian Birzele and has published in prestigious journals such as Nucleic Acids Research, Biotechnology and Bioengineering and Biotechnology Progress.

In The Last Decade

Jochen Schaub

14 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Schaub Germany 10 407 60 54 44 37 14 438
Faraaz N.K. Yusufi Singapore 8 473 1.2× 81 1.4× 46 0.9× 29 0.7× 51 1.4× 10 483
Hsu‐Yuan Fu Taiwan 10 261 0.6× 71 1.2× 42 0.8× 18 0.4× 27 0.7× 21 328
Sarantos Kyriakopoulos United Kingdom 11 385 0.9× 44 0.7× 58 1.1× 14 0.3× 102 2.8× 14 423
Denise C. Krawitz United States 10 740 1.8× 56 0.9× 37 0.7× 65 1.5× 172 4.6× 10 788
Kelley Heffner United States 9 343 0.8× 91 1.5× 16 0.3× 16 0.4× 61 1.6× 11 356
Ron Jacak United States 5 347 0.9× 13 0.2× 22 0.4× 23 0.5× 69 1.9× 5 405
Ana Crnković United States 13 346 0.9× 62 1.0× 45 0.8× 7 0.2× 16 0.4× 20 390
A. Grosfils Belgium 3 306 0.8× 57 0.9× 19 0.4× 13 0.3× 13 0.4× 6 353
Paul M. Hayter United Kingdom 8 270 0.7× 54 0.9× 37 0.7× 7 0.2× 69 1.9× 8 325
T.V. Borchert Germany 8 266 0.7× 39 0.7× 8 0.1× 13 0.3× 18 0.5× 11 342

Countries citing papers authored by Jochen Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Schaub

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

All Works

14 of 14 papers shown
1.
2.
Schaub, Jochen, et al.. (2023). Process intensification in biopharmaceutical process development and production – an industrial perspective. Physical Sciences Reviews. 9(9). 2989–3041. 4 indexed citations
3.
Wucherpfennig, Thomas, et al.. (2021). Application of metabolic modeling for targeted optimization of high seeding density processes. Biotechnology and Bioengineering. 118(5). 1793–1804. 16 indexed citations
4.
Fischer, Simon, et al.. (2020). Pre-stage perfusion and ultra-high seeding cell density in CHO fed-batch culture: a case study for process intensification guided by systems biotechnology. Bioprocess and Biosystems Engineering. 43(8). 1431–1443. 39 indexed citations
5.
Schaub, Jochen, et al.. (2019). Towards robust cell culture processes — Unraveling the impact of media preparation by spectroscopic online monitoring. Engineering in Life Sciences. 19(10). 666–680. 10 indexed citations
6.
Müller, Markus, Germán Leparc, Patrick Schulz, et al.. (2015). A global RNA‐seq‐driven analysis of CHO host and production cell lines reveals distinct differential expression patterns of genes contributing to recombinant antibody glycosylation. Biotechnology Journal. 10(9). 1412–1423. 20 indexed citations
7.
Schaub, Jochen, et al.. (2015). Process parameters impacting product quality. BMC Proceedings. 9(S9). 5 indexed citations
8.
Wenger, Till, Jochen Schaub, Barbara Enenkel, et al.. (2013). BI-HEX®-GlymaxX® cells enable efficient production of next generation biomolecules with enhanced ADCC activity. BMC Proceedings. 7(S6). 3 indexed citations
9.
Schaub, Jochen, Christoph Clemens, Hitto Kaufmann, & Torsten Schulz. (2011). Advancing Biopharmaceutical Process Development by System-Level Data Analysis and Integration of Omics Data. PubMed. 127. 133–163. 24 indexed citations
10.
Birzele, Fabian, Jochen Schaub, Werner Rust, et al.. (2010). Into the unknown: expression profiling without genome sequence information in CHO by next generation sequencing. Nucleic Acids Research. 38(12). 3999–4010. 83 indexed citations
11.
Schaub, Jochen, Christoph Clemens, P. -J. Schorn, et al.. (2009). CHO gene expression profiling in biopharmaceutical process analysis and design. Biotechnology and Bioengineering. 105(2). 431–438. 42 indexed citations
12.
Schaub, Jochen & Matthias Reuß. (2008). In vivo dynamics of glycolysis in Escherichia coli shows need for growth‐rate dependent metabolome analysis. Biotechnology Progress. 24(6). 1402–1407. 35 indexed citations
13.
Schaub, Jochen, Klaus Mauch, & Matthias Reuß. (2007). Metabolic flux analysis in Escherichia coli by integrating isotopic dynamic and isotopic stationary 13C labeling data. Biotechnology and Bioengineering. 99(5). 1170–1185. 79 indexed citations
14.
Schaub, Jochen, et al.. (2006). Integrated Sampling Procedure for Metabolome Analysis. Biotechnology Progress. 22(5). 1434–1442. 77 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Faraaz N.K. Yusufi Breakdown of academic impact, for papers by Hsu‐Yuan Fu Breakdown of academic impact, for papers by Sarantos Kyriakopoulos Breakdown of academic impact, for papers by Denise C. Krawitz Breakdown of academic impact, for papers by Kelley Heffner Breakdown of academic impact, for papers by Ron Jacak Breakdown of academic impact, for papers by Ana Crnković Breakdown of academic impact, for papers by A. Grosfils Breakdown of academic impact, for papers by Paul M. Hayter Breakdown of academic impact, for papers by T.V. Borchert
Rankless by CCL
2026