Stephen Goldrick

641 total citations
28 papers, 441 citations indexed

About

Stephen Goldrick is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Stephen Goldrick has authored 28 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Biomedical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Stephen Goldrick's work include Viral Infectious Diseases and Gene Expression in Insects (18 papers), Protein purification and stability (9 papers) and Fault Detection and Control Systems (5 papers). Stephen Goldrick is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (18 papers), Protein purification and stability (9 papers) and Fault Detection and Control Systems (5 papers). Stephen Goldrick collaborates with scholars based in United Kingdom, Germany and Spain. Stephen Goldrick's co-authors include Suzanne S. Farid, Barry Lennox, David Lovett, G.A. Montague, Richard Turner, Richard Turner, Christopher Spencer, William R. Holmes, Marcel Kuiper and Nigel J. Titchener‐Hooker and has published in prestigious journals such as Scientific Reports, Journal of Membrane Science and Journal of Chromatography A.

In The Last Decade

Stephen Goldrick

28 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Goldrick United Kingdom 13 248 140 115 74 53 28 441
Saxena Nikita India 12 215 0.9× 148 1.1× 108 0.9× 37 0.5× 26 0.5× 30 470
Martin F. Luna Argentina 9 333 1.3× 133 0.9× 110 1.0× 40 0.5× 37 0.7× 20 469
Max Mowbray United Kingdom 12 110 0.4× 189 1.4× 75 0.7× 58 0.8× 27 0.5× 23 470
Somesh Mishra India 12 205 0.8× 43 0.3× 132 1.1× 53 0.7× 11 0.2× 18 403
Dörte Solle Germany 14 502 2.0× 117 0.8× 252 2.2× 43 0.6× 196 3.7× 50 859
Patrick Sagmeister Austria 14 385 1.6× 119 0.8× 93 0.8× 16 0.2× 18 0.3× 23 487
Mark Duerkop Austria 11 285 1.1× 74 0.5× 116 1.0× 42 0.6× 9 0.2× 16 412
Steffen Zobel‐Roos Germany 13 286 1.2× 42 0.3× 107 0.9× 35 0.5× 31 0.6× 15 365
Emanuele Tomba Italy 12 127 0.5× 147 1.1× 47 0.4× 92 1.2× 96 1.8× 19 410

Countries citing papers authored by Stephen Goldrick

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Goldrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Goldrick

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Goldrick. A scholar is included among the top collaborators of Stephen Goldrick 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 Stephen Goldrick. Stephen Goldrick 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.
Marí‐Buyé, Núria, Michael J. Chappell, Ursula Schultz, et al.. (2025). A digital shadow of CAR T cell expansion in a perfusion bioreactor: Informing optimal harvest times for autologous cell therapy. Biotechnology Progress. 41(6). e70045–e70045. 2 indexed citations
2.
Schultz, Ursula, Manuel Effenberger, Stephen Goldrick, et al.. (2025). Impact of Serum/Xeno‐Free Medium and Cytokine Supplementation on CAR‐T Cell Therapy Manufacturing in Stirred Tank Bioreactors. Biotechnology Journal. 20(9). e70114–e70114. 1 indexed citations
3.
Li, Handong, et al.. (2024). Reinforcement Learning for EV Fleet Smart Charging with On-Site Renewable Energy Sources. Energies. 17(21). 5442–5442. 3 indexed citations
4.
Branke, Juergen, et al.. (2024). Structural and practical identifiability analysis in bioengineering: a beginner’s guide. Journal of Biological Engineering. 18(1). 20–20. 4 indexed citations
5.
Goldrick, Stephen, Nicholas J. Bond, Diane Hatton, et al.. (2023). Next-generation cell line selection methodology leveraging data lakes, natural language generation and advanced data analytics. Frontiers in Bioengineering and Biotechnology. 11. 1160223–1160223. 2 indexed citations
6.
Nettleton, David, Núria Marí‐Buyé, Helena Martí-Soler, et al.. (2023). Smart Sensor Control and Monitoring of an Automated Cell Expansion Process. Sensors. 23(24). 9676–9676. 5 indexed citations
7.
Goldrick, Stephen, et al.. (2023). Enhanced harvest performance predictability through advanced multivariate data analysis of mammalian cell culture particle size distribution. Biotechnology and Bioengineering. 121(8). 2365–2377. 1 indexed citations
8.
Zhang, Cheng, et al.. (2022). Directed evolution for soluble and active periplasmic expression of bovine enterokinase in Escherichia coli. Scientific Reports. 12(1). 17721–17721. 1 indexed citations
9.
Turner, Richard, et al.. (2022). Data integrity within the biopharmaceutical sector in the era of Industry 4.0. Biotechnology Journal. 17(6). e2100609–e2100609. 24 indexed citations
10.
Turner, Richard, et al.. (2021). Advanced control strategies for bioprocess chromatography: Challenges and opportunities for intensified processes and next generation products. Journal of Chromatography A. 1639. 461914–461914. 27 indexed citations
11.
Spencer, Christopher, et al.. (2021). A decade in review: use of data analytics within the biopharmaceutical sector. Current Opinion in Chemical Engineering. 34. 100758–100758. 25 indexed citations
12.
Goldrick, Stephen, et al.. (2020). High-Throughput Raman Spectroscopy Combined with Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development. Processes. 8(9). 1179–1179. 31 indexed citations
13.
Goldrick, Stephen, et al.. (2019). High throughput process development workflow with advanced decision-support for antibody purification. Journal of Chromatography A. 1596. 104–116. 12 indexed citations
14.
Goldrick, Stephen, et al.. (2019). Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process. Computers & Chemical Engineering. 130. 106471–106471. 41 indexed citations
15.
Goldrick, Stephen, David Lovett, G.A. Montague, & Barry Lennox. (2018). Influence of Incident Wavelength and Detector Material Selection on Fluorescence in the Application of Raman Spectroscopy to a Fungal Fermentation Process. Bioengineering. 5(4). 79–79. 10 indexed citations
16.
Goldrick, Stephen, et al.. (2017). Predicting performance of constant flow depth filtration using constant pressure filtration data. Journal of Membrane Science. 531. 138–147. 25 indexed citations
17.
Goldrick, Stephen, et al.. (2014). The development of an industrial-scale fed-batch fermentation simulation. Journal of Biotechnology. 193. 70–82. 81 indexed citations
18.
Goldrick, Stephen, et al.. (2014). Control of an Industrial Scale Bioreactor using a PAT Analyser. IFAC Proceedings Volumes. 47(3). 6222–6227. 3 indexed citations
19.
Goldrick, Stephen, et al.. (2013). The Development of a Simulation to Address the Real Challenges Associated with Industrial Scale Penicillin Production. IFAC Proceedings Volumes. 46(31). 24–29. 3 indexed citations
20.

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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